# Armalo public product catalogue Machine-readable JSON: /agents/portfolio.json This surface contains public catalogue metadata only. Access describes how a visitor can use a product; proof names the strongest verified public claim; the flywheel stage names where the product sits in the studio's build, launch, acquire, monetize, compound loop. ## Armalo App - Slug: armalo-app - Destination: https://app.armalo.ai - Status: live - Access: public - Proof: public-live - Flywheel stage: launch - Last verified: 2026-07-20 - Category: Multiplayer business operations platform - Year: 2026 - Tags: vibe coding, multiplayer, compass - Audiences: Founders, Operators, Product teams, Enterprises - Delivery modes: hosted, licensed - Offer modes: pilot, team, enterprise - Sales position: The collaborative workspace that learns your business and gets out of the way — vibe coding, agentic browser automation, and a Compass that turns your decisions into autonomy. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Armalo company operating system - Action: Open a live workspace - Description: A multiplayer AI workspace for planning, designing, building, monitoring, and scaling a business alongside agents that code, browse, and run commerce. - Highlights: - No sign-up wall — visiting mints a live shared workspace with the agent already present. - Free Starter tier with bring-your-own keys; paid team and enterprise plans are live. - Compass: gated autonomy that learns your decisions; every action is bonded and reversible. ## Autonomous Business - Slug: autonomous-business - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Business operations - Year: 2026 - Tags: autonomy, company OS, Hermes - Audiences: Solo founders, Small businesses, AI startups, Operators - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise, partner - Sales position: Run more of the company through one accountable agent system: durable context, bounded authority, action receipts, and learning from real outcomes. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Armalo company operating system - Action: Design a pilot - Description: A governed company operating system that plans, builds, markets, sells, supports, and learns around an owner's goals. - Highlights: - Turns company goals into owned missions and measurable outcomes. - Coordinates product, growth, sales, service, and operating work. - Keeps sensitive actions behind explicit authority and evidence. ## Managed Agent Workspaces - Slug: managed-agent-workspaces - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Managed agent infrastructure - Year: 2026 - Tags: teams, governance, Hermes - Audiences: Small businesses, Operations teams, Agencies, IT leaders - Delivery modes: hosted, custom-build, dfy, partner - Offer modes: pilot, team, agency, enterprise, partner - Sales position: Give a team one managed place to deploy role-specific agents, set authority, monitor work, and pay one clean invoice instead of operating a fleet of VPS instances. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Managed agent control plane - Action: Design a team pilot - Description: A governed team workspace for deploying specialized AI agents without making every employee manage infrastructure, keys, or billing. - Highlights: - Create role-specific agents from centrally governed workspace templates. - Centralize identity, billing, audit, and gateway administration. - Keep agent authority and tenant data separated by workspace. ## Business Constraint Finder - Slug: business-constraint-finder - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Business strategy - Year: 2026 - Tags: strategy, diagnosis, evidence - Audiences: Founders, Operators, Leadership teams - Delivery modes: hosted, custom-build, dfy - Offer modes: pilot, team, agency, enterprise - Sales position: Replace generic advice with a focused diagnosis, visible evidence, and a testable next-step hypothesis. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Run a constraint review - Description: An evidence-linked diagnostic that helps teams identify the operating constraint most worth testing next. - Highlights: - Links each diagnosis to the evidence behind it. - Treats recommendations as hypotheses to be tested. - Keeps operational changes approval-gated. ## AI Forward Deployed Engineer - Slug: ai-forward-deployed-engineer - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: AI engineering services - Year: 2026 - Tags: AI FDE, implementation, operations - Audiences: AI startups, Software companies, Small businesses, Brick-and-mortar operators - Delivery modes: custom-build, dfy, partner, hosted - Offer modes: pilot, team, agency, enterprise, partner - Sales position: One accountable delivery team combines an embedded human engineer with bounded AI agents to find, build, prove, and transfer a production workflow. - Commercial priority: 6 - Buyer hypothesis: Armalo hypothesis: companies will fund an accountable embedded engineer to move one valuable AI workflow from ambiguity into measured production. - Research references: menlo-enterprise-ai-2025, mckinsey-state-ai-2025 - Owner: Not specified - Platform: Not specified - Action: Discuss an AI FDE pilot - Description: A human-accountable AI engineering partner that embeds with your team to turn one valuable workflow into a reliable production system. - Highlights: - Starts with one measurable workflow, not an open-ended AI transformation. - Pairs agent speed with human technical judgment and approval ownership. - Leaves behind tested software, evals, runbooks, and a clear operating owner. ## Software Engineering Copilot - Slug: software-engineering-copilot - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: AI engineering services - Year: 2026 - Tags: engineering, code, validation - Audiences: Software teams, Product teams, Technical founders - Delivery modes: custom-build, dfy, licensed, partner - Offer modes: pilot, team, agency, enterprise, partner - Sales position: Accelerate bounded engineering work while keeping repository context, tests, review, and promotion evidence legible. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Design an engineering pilot - Description: A repository-scoped engineering copilot for planning, implementing, and validating bounded software changes. - Highlights: - Works inside explicit repository and task boundaries. - Runs relevant tests and records the evidence. - Requires human review before merge or deploy. ## Agent Skill Library - Slug: agent-skill-library - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Managed agent infrastructure - Year: 2026 - Tags: skills, workflows, evaluation - Audiences: Businesses, Agencies, Domain experts, Agent builders - Delivery modes: hosted, custom-build, licensed, partner - Offer modes: pilot, team, agency, enterprise, partner - Sales position: Buy the operating knowledge and tested workflow—not a blank agent—through reusable skill packages tuned for a specific job and evidence standard. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Versioned agent skill registry - Action: Scope a skill pack - Description: Versioned, evaluated agent skills that package domain expertise, operating steps, safety boundaries, and proof requirements for repeatable work. - Highlights: - Package domain expertise as inspectable, versioned agent skills. - Pair instructions with evaluations, permissions, and proof requirements. - Tune reusable packs for a company, agency, or vertical. ## Girl Math - Slug: girl-math - Destination: https://girl-math.armalo.ai - Status: beta - Access: public - Proof: public-live - Flywheel stage: launch - Last verified: 2026-07-15 - Category: Travel - Year: 2026 - Tags: award travel, points, research - Audiences: Travel teams, Points communities - Delivery modes: hosted, custom-build - Offer modes: pilot, team, agency - Sales position: A focused research surface that turns complicated award-travel decisions into a clearer buying conversation. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Public reference board - Action: Browse Girl Math - Description: An award-travel reference board for comparing points redemptions, transfer routes, and premium-cabin value. - Highlights: - Browse reference sweet spots without an account. - Compare points cost with estimated cash value. - Sign in for personalized cards, balances, and route search. ## BYOK Agent Cloud - Slug: byok-agent-cloud - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Managed agent infrastructure - Year: 2026 - Tags: BYOK, orchestration, gateways - Audiences: Agent operators, Small businesses, Agencies, Technical teams - Delivery modes: hosted, custom-build, dfy, partner - Offer modes: pilot, team, agency, enterprise, partner - Sales position: Separate the managed platform fee from volatile model spend: customers bring their own model API key while Armalo manages orchestration, recovery, and gateway connections. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Managed BYOK agent control plane - Action: Plan a BYOK pilot - Description: A managed agent control plane with customer-supplied model keys, predictable platform pricing, backups, and messaging gateway integrations. - Highlights: - Keep model usage on a customer-controlled model account. - Manage agent configuration, encrypted backup, and recovery centrally. - Connect approved messaging gateways without exposing server administration. ## Hermes Revenue Agents - Slug: hermes-revenue-agents - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Revenue operations - Year: 2026 - Tags: sales, appointments, Hermes - Audiences: High-ticket teams, Agencies, Operators - Delivery modes: custom-build, dfy, licensed, partner - Offer modes: pilot, team, agency, enterprise, commission - Sales position: A reliable revenue-agent layer for businesses that need more qualified conversations without paying human labor rates for every repetitive touch. - Commercial priority: 1 - Buyer hypothesis: Armalo hypothesis: high-ticket teams will pay first for a governed revenue system that creates more qualified conversations and preserves the handoff evidence. - Research references: ai-acquisition-services-2025, client-acquisition-build-release, mckinsey-state-ai-2025 - Owner: Armalo AI - Platform: Dedicated Hermes Agent workflows - Action: Request a pilot - Description: Dedicated Hermes agents for high-ticket lead qualification, appointment setting, calendar coordination, dialing, and sales handoff. - Highlights: - Qualify high-intent leads against a defined buying rubric. - Coordinate calendars and hand off booked opportunities with context. - Support dialing, follow-up, and closing workflows with human approval where required. ## Voice Customer Service Assistant - Slug: voice-customer-service - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Customer service - Year: 2026 - Tags: voice, support, operations - Audiences: Service businesses, Support teams, Agencies - Delivery modes: hosted, custom-build, dfy - Offer modes: pilot, team, agency, enterprise, commission - Sales position: Sell the outcome: fewer repetitive calls, faster response, and a service experience that still knows when to hand off. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Request a conversation - Description: A voice-first service desk assistant for answering routine questions, routing intent, and escalating the moments that need a human. - Highlights: - Answers recurring customer questions in a natural voice. - Routes complex or sensitive moments to the right human. - Can be packaged for one team or rolled out across locations. ## AI Customer Service Desk - Slug: ai-customer-service-desk - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Customer service - Year: 2026 - Tags: support, service, omnichannel - Audiences: Support teams, Operations teams, Service businesses, Agencies - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise - Sales position: Buy one policy, knowledge, routing, and reporting layer across service channels, or start with a single channel module and expand after proof. - Commercial priority: 2 - Buyer hypothesis: Armalo hypothesis: support teams will buy one accountable service layer when it lowers routine workload without hiding customer risk or unresolved work. - Research references: mckinsey-state-ai-2025, menlo-enterprise-ai-2025 - Owner: Armalo AI - Platform: Dedicated Hermes Agent workflows - Action: Design a service pilot - Description: One governed service desk for answering, routing, drafting, and escalating customer demand across approved channels. - Highlights: - Answers routine questions from approved company sources. - Routes exceptions, urgency, sentiment, and sensitive cases to people. - Unifies email, SMS, voice, and WhatsApp modules under one service record. ## SMS Customer Service Assistant - Slug: sms-customer-service - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Customer service - Year: 2026 - Tags: sms, support, retention - Audiences: Local businesses, Service teams, Agencies - Delivery modes: hosted, custom-build, dfy - Offer modes: pilot, team, agency, commission - Sales position: A simple wedge for teams that need faster follow-up without asking customers to learn another app. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Request a conversation - Description: A text-message assistant for updates, reminders, triage, and lightweight customer support that meets people in the channel they already use. - Highlights: - Handles common questions and status updates by text. - Keeps escalation and approval boundaries explicit. - Works as a focused pilot or a repeatable agency offer. ## WhatsApp Customer Service Assistant - Slug: whatsapp-customer-service - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Customer service - Year: 2026 - Tags: whatsapp, support, conversation - Audiences: International teams, Commerce brands, Agencies - Delivery modes: hosted, custom-build, dfy, partner - Offer modes: pilot, team, agency, enterprise - Sales position: Use the channel customers already trust, then make the operational handoff visible and manageable. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Request a conversation - Description: A WhatsApp-native assistant for customer questions, qualification, scheduling, and human handoff in high-context conversations. - Highlights: - Supports conversational service and lead qualification. - Can preserve context across a longer customer journey. - Designed for reusable agency packaging by market or vertical. ## Email Customer Service Assistant - Slug: email-customer-service - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Customer service - Year: 2026 - Tags: email, support, workflow - Audiences: Support teams, Operations teams, Agencies - Delivery modes: hosted, custom-build, dfy - Offer modes: pilot, team, agency, enterprise, commission - Sales position: Turn a crowded support inbox into a calmer queue without pretending every reply should be automated. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Request a conversation - Description: An email operations assistant for drafting, classifying, summarizing, and routing customer conversations with a clear review boundary. - Highlights: - Groups recurring requests and surfaces the next action. - Drafts responses in the organization’s approved voice. - Leaves sensitive or ambiguous messages for human review. ## Hermes AI CRM - Slug: hermes-ai-crm - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Revenue operations - Year: 2026 - Tags: CRM, pipeline, automation - Audiences: Sales teams, Agencies, Founders - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise - Sales position: A CRM built around agent work and accountable state changes, so automation produces a usable operating record instead of a pile of untracked messages. - Commercial priority: 4 - Buyer hypothesis: Armalo hypothesis: founders and sales teams will buy a CRM when agent work, human approvals, follow-up, and revenue evidence share one accountable record. - Research references: ai-acquisition-services-2025, mckinsey-state-ai-2025 - Owner: Armalo AI - Platform: Armalo company operating system - Action: Request a pilot - Description: An AI CRM layer that keeps lead context, pipeline state, outreach approvals, follow-ups, and revenue evidence in one operating loop. - Highlights: - Keep lead identity, status, assignment, and activity connected. - Route sensitive outreach through explicit approval and delivery states. - Give revenue agents the context they need to act without inventing facts. ## Personal Finance AI Assistant - Slug: personal-finance-assistant - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Personal finance - Year: 2026 - Tags: finance, planning, education - Audiences: Consumers, Financial educators, Fintech teams - Delivery modes: hosted, custom-build, licensed, dfy - Offer modes: pilot, team, enterprise, partner - Sales position: Position clarity and education first; personalized financial actions require explicit product and compliance boundaries. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Request a conversation - Description: A personal finance assistant for organizing questions, explaining trade-offs, and turning a messy money picture into a clearer next step. - Highlights: - Explains financial concepts in plain language. - Organizes goals, questions, and planning conversations. - Can be tuned for education, guidance, or a partner workflow. ## Proposal Generator - Slug: proposal-generator - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Revenue operations - Year: 2026 - Tags: proposals, sales, documents - Audiences: Agencies, Consultancies, Freelancers, Sales teams - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise - Sales position: Move from discovery to a buyer-ready proposal faster while keeping scope, pricing, claims, and acceptance under accountable review. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Dedicated Hermes Agent workflows - Action: Request a pilot - Description: A proposal workflow agent that turns approved deal context into reviewable scope, pricing, proof, and next steps without inventing commercial terms. - Highlights: - Builds drafts from approved CRM, discovery, offer, and proof sources. - Keeps scope, pricing, claims, and terms visible for accountable review. - Tracks versions, buyer engagement, acceptance, and fulfillment handoff. ## Invoice Chaser - Slug: invoice-chaser - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Accounts receivable - Year: 2026 - Tags: invoicing, collections, cash flow - Audiences: Freelancers, Agencies, Professional services firms, Finance teams - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise - Sales position: Recover time and cash without turning every overdue invoice into an awkward manual chase or an unreviewed automated threat. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Dedicated Hermes Agent workflows - Action: Request a pilot - Description: A policy-aware receivables agent that follows up on overdue invoices, preserves customer context, and escalates disputes or sensitive cases for review. - Highlights: - Prioritizes overdue work from approved invoice and customer state. - Drafts or schedules policy-based reminders with escalation boundaries. - Tracks replies, disputes, promises, and payment evidence before closing work. ## Finance Operations Assistant - Slug: finance-operations-assistant - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Finance operations - Year: 2026 - Tags: finance, reconciliation, operations - Audiences: Finance teams, Accounting teams, Operations teams - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise, partner - Sales position: Reduce repetitive finance preparation while keeping approvals, system authority, and segregation of duties explicit. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Design a finance pilot - Description: A finance workflow assistant that prepares AP, AR, reconciliation, and close work for accountable human review. - Highlights: - Prepares and reconciles records for review. - Surfaces discrepancies with source context. - Keeps payment authority outside the assistant. ## AI Attribution & Remarketing - Slug: ai-attribution-remarketing - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Marketing intelligence - Year: 2026 - Tags: attribution, remarketing, growth - Audiences: Paid-growth teams, Ecommerce brands, SaaS companies, Agencies - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise, partner - Sales position: Show which journeys create valuable customers, then use approved context to improve targeting and follow-up without inventing attribution certainty. - Commercial priority: 7 - Buyer hypothesis: Armalo hypothesis: paid-growth teams will buy cleaner revenue attribution and behavior-aware follow-up when every recommendation remains traceable. - Research references: hyros-attribution-remarketing, mckinsey-state-ai-2025 - Owner: Armalo AI - Platform: Armalo growth intelligence - Action: Design an attribution pilot - Description: A paid-growth intelligence layer that connects customer journeys to revenue and turns approved behavior into accountable follow-up. - Highlights: - Connects campaign, journey, conversion, and customer-value evidence. - Explains which spend to investigate, protect, or reduce. - Creates behavior-aware follow-up inside consent and channel policy. ## Hermes Financial Adviser - Slug: hermes-financial-adviser - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Financial Intelligence - Year: 2026 - Tags: finance, research, decision-support - Audiences: Operators, Investors, Finance teams - Delivery modes: custom-build, licensed, partner - Offer modes: pilot, team, enterprise - Sales position: A disciplined financial intelligence layer that turns market and operating inputs into traceable scenarios and decisions, with suitability and execution boundaries kept explicit. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Dedicated Hermes Agent workflows - Action: Request a pilot - Description: A dedicated Hermes financial decision-support agent for research, monitoring, scenario analysis, and disciplined human-reviewed action. - Highlights: - Research markets, positions, and operating assumptions with cited inputs. - Compare scenarios, risks, and constraints before a decision is made. - Keep execution and regulated advice behind human and product controls. ## Personal Tutor Assistant - Slug: personal-tutor - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Learning - Year: 2026 - Tags: tutor, learning, education - Audiences: Learners, Families, Schools, Education companies - Delivery modes: hosted, custom-build, licensed, dfy - Offer modes: pilot, team, enterprise, partner - Sales position: Sell the personalized learning loop: explain, practice, notice confusion, and try again. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Request a conversation - Description: A patient tutor assistant that adapts explanations, practice, and feedback to the learner instead of serving the same lesson to everyone. - Highlights: - Adjusts explanations to a learner’s current context. - Turns questions into practice instead of one-off answers. - Can be packaged for a family, classroom, or education brand. ## AI Lead Generation - Slug: ai-lead-generation - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Revenue operations - Year: 2026 - Tags: prospecting, research, sales - Audiences: B2B companies, Agencies, High-ticket teams, Founders - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise, commission - Sales position: Replace brittle list buying with an evidence-bearing prospecting loop that shows why each account fits and what should happen next. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Autonomous Business revenue workforce - Action: Design a lead pilot - Description: A research and prospecting agent that turns an ideal-customer profile into sourced, scored, and reviewable opportunities. - Highlights: - Builds prospect lists from an explicit ideal-customer profile. - Preserves sources, fit reasons, uncertainty, and exclusions. - Hands approved opportunities to qualification and outreach. ## AI Qualifier - Slug: ai-qualifier - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Revenue operations - Year: 2026 - Tags: qualification, pipeline, sales - Audiences: B2B companies, Agencies, Sales teams, Service businesses - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise, commission - Sales position: Give salespeople fewer dead-end conversations and a defensible reason each opportunity should advance, nurture, or stop. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Autonomous Business revenue workforce - Action: Design a qualifier pilot - Description: A qualification agent that tests fit, urgency, authority, and next-step readiness against the seller's actual rubric. - Highlights: - Applies a buyer-owned fit and readiness rubric. - Captures unknowns instead of inventing qualification evidence. - Routes qualified, nurture, disqualified, and human-review outcomes. ## AI Setter - Slug: ai-setter - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Revenue operations - Year: 2026 - Tags: appointments, outreach, sales - Audiences: High-ticket teams, Agencies, Sales teams, Local services - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise, commission - Sales position: Turn qualified interest into attended conversations through timely, contextual follow-up instead of generic calendar-link spam. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Autonomous Business revenue workforce - Action: Design a setter pilot - Description: An appointment-setting agent that follows up with qualified prospects, resolves scheduling friction, and records the handoff. - Highlights: - Works from qualified context and an approved outreach policy. - Coordinates availability, timezone, confirmation, and rescheduling. - Records booked, declined, opted-out, no-response, and attended states. ## AI Dialer - Slug: ai-dialer - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Revenue operations - Year: 2026 - Tags: voice, calling, sales - Audiences: High-ticket teams, Local services, Agencies, Sales teams - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise, commission - Sales position: Make every permitted call timely and accountable, with a bounded script, clear escalation, and a complete disposition after the conversation. - Commercial priority: 3 - Buyer hypothesis: Armalo hypothesis: call-based businesses will buy faster lead response and qualification when consent, scripts, transfers, and outcomes remain inspectable. - Research references: client-acquisition-build-release, mckinsey-state-ai-2025 - Owner: Armalo AI - Platform: Autonomous Business revenue workforce - Action: Design a dialer pilot - Description: A voice agent for approved calls, fast lead response, structured discovery, disposition capture, and live human handoff. - Highlights: - Calls only within configured consent, timing, and jurisdiction rules. - Handles discovery and objections inside a bounded authority envelope. - Transfers sensitive or high-intent conversations with full context. ## AI Salesman - Slug: ai-salesman - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Revenue operations - Year: 2026 - Tags: sales, closing, pipeline - Audiences: High-ticket teams, Agencies, Founders, Sales teams - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise, commission - Sales position: Add selling capacity without surrendering control of claims, pricing, discounts, contracts, or the customer relationship. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Armalo AI - Platform: Autonomous Business revenue workforce - Action: Design a sales pilot - Description: A full-cycle sales agent that carries verified context from discovery through objection handling, proposal, and bounded close. - Highlights: - Maintains one evidence-backed opportunity brief across the cycle. - Handles approved discovery, objections, follow-up, and proposal drafts. - Escalates discounts, promises, contracts, and novel commitments. ## AI Stylist - Slug: ai-stylist - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Personal style - Year: 2026 - Tags: style, wardrobe, shopping - Audiences: Consumers, Personal stylists, Retailers, Fashion brands - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise - Sales position: Sell a clearer path from what someone owns and likes to what they can wear or buy next, with a white-label path for commerce partners. - Commercial priority: 10 - Buyer hypothesis: Armalo hypothesis: shoppers and commerce partners will pay for trusted personalization that turns taste, context, and inventory into fewer better choices. - Research references: a16z-ai-shopping-2025, menlo-consumer-ai-2025 - Owner: Not specified - Platform: Not specified - Action: Request a conversation - Description: A personal style concierge that learns wardrobe context and preferences, assembles outfits, and narrows shopping choices without taking over the final decision. - Highlights: - Builds outfit ideas from wardrobe, occasion, and preference context. - Turns broad shopping intent into a focused, explainable shortlist. - Can be packaged for stylists, retailers, and fashion brands. ## Lead Recovery Operator - Slug: lead-recovery-operator - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Revenue operations - Year: 2026 - Tags: recovery, follow-up, sales - Audiences: Sales teams, Revenue teams, Service businesses, Agencies - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise, commission - Sales position: Recover value from consented, already-known leads with traceable follow-up and a firm boundary around contact authority. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Design a recovery pilot - Description: A governed follow-up operator for already-known leads whose conversations stalled before a clear next step. - Highlights: - Works only with consented or authorized contacts. - Enforces opt-out and a non-discriminatory rubric. - Requires send approval and will not fabricate evidence. ## Legal Advice Assistant - Slug: legal-advice-assistant - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Legal workflows - Year: 2026 - Tags: legal, research, documents - Audiences: Legal teams, Businesses, Legal-tech companies, Agencies - Delivery modes: custom-build, licensed, dfy, partner - Offer modes: pilot, team, enterprise, partner - Sales position: A Harvey-like workflow wedge: make legal work easier to prepare and review, never blur assistance into unauthorized practice. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Request a conversation - Description: A legal-workflow assistant for research, issue spotting, document explanation, and preparation with careful limits around professional advice. - Highlights: - Summarizes and compares approved legal materials. - Surfaces questions and issues for qualified review. - Supports firm, in-house, and partner-specific workflows. ## AI Digital Product Studio - Slug: ai-digital-product-studio - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Creator commerce - Year: 2026 - Tags: creators, education, products - Audiences: Creators, Educators, Experts, Agencies - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, commission, partner - Sales position: Turn real expertise into a coherent product and launch system without replacing the expert, borrowing trust carelessly, or fabricating demand. - Commercial priority: 8 - Buyer hypothesis: Armalo hypothesis: creators and experts will buy a joined research, packaging, launch, and delivery workflow when it protects their voice and trust. - Research references: monetise-product-terms, mckinsey-state-ai-2025 - Owner: Armalo AI - Platform: Dedicated Hermes Agent workflows - Action: Design a product sprint - Description: A product system for turning approved expertise and audience evidence into a course, guide, community, or coaching offer. - Highlights: - Finds repeated audience problems in approved research and content. - Structures curriculum, assets, delivery, and a proof-of-value pilot. - Supports direct sales, agency delivery, partnerships, or revenue share. ## Marketing Campaign Studio - Slug: marketing-campaign-studio - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Marketing production - Year: 2026 - Tags: marketing, creative, governance - Audiences: Marketing teams, Creative teams, Agencies - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise - Sales position: Increase campaign production capacity while keeping claims, rights, publication, and spend under accountable control. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Design a campaign pilot - Description: A governed campaign studio for producing creative variants, launch assets, and review-ready marketing packages. - Highlights: - Builds review-ready campaign variants from an approved brief. - Keeps claim substantiation attached to the work. - Flags copyright and likeness questions before release. ## Expert Knowledge Assistant - Slug: expert-knowledge-assistant - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Knowledge products - Year: 2026 - Tags: knowledge, advisor, education - Audiences: Experts, Educators, Membership businesses, Advisory firms - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise, partner - Sales position: Package a trusted body of work as a useful advisor with citations, identity boundaries, update ownership, and a clear route to the human expert. - Commercial priority: 9 - Buyer hypothesis: Armalo hypothesis: experts and education businesses will buy an interactive advisor when it extends trusted knowledge without impersonation or unsupported advice. - Research references: acquisition-acq-ai, monetise-product-terms - Owner: Armalo AI - Platform: Dedicated Hermes Agent workflows - Action: Design a knowledge pilot - Description: A source-grounded advisor that makes an expert's approved books, lessons, frameworks, and decisions available as an interactive product. - Highlights: - Answers from an approved, versioned source library. - Shows sources, uncertainty, and the boundary of the expert's material. - Routes consequential or novel questions to a qualified person. ## Document Operations Agent - Slug: document-operations-agent - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Business operations - Year: 2026 - Tags: documents, operations, review - Audiences: Operations teams, Finance teams, Service firms - Delivery modes: hosted, custom-build, dfy, licensed - Offer modes: pilot, team, agency, enterprise - Sales position: Turn recurring document handling into a traceable workflow without hiding uncertainty or bypassing the people accountable for exceptions. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Design a document pilot - Description: A document workflow agent that extracts, validates, and routes business data while making uncertainty and exceptions visible. - Highlights: - Extracts fields only from authorized source documents. - Preserves citations, provenance, and field confidence. - Routes exceptions and low-confidence work to human review. ## Internal Knowledge Assistant - Slug: internal-knowledge-assistant - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Business operations - Year: 2026 - Tags: knowledge, operations, enterprise - Audiences: Companies, Operations teams, Agencies - Delivery modes: hosted, custom-build, licensed, dfy - Offer modes: pilot, team, agency, enterprise - Sales position: A practical first agent for organizations that need their own knowledge to become usable without becoming public. - Commercial priority: 5 - Buyer hypothesis: Armalo hypothesis: operations teams will pay to make approved company knowledge answerable when permissions, citations, ownership, and freshness stay visible. - Research references: menlo-enterprise-ai-2025, mckinsey-state-ai-2025 - Owner: Not specified - Platform: Not specified - Action: Request a conversation - Description: A private knowledge assistant that helps teams find answers, understand decisions, and work from the source material they already own. - Highlights: - Answers from an organization’s approved source material. - Makes ownership and freshness part of the workflow. - Can start narrow and expand across teams. ## Clinical Documentation Assistant - Slug: clinical-documentation-assistant - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Healthcare operations - Year: 2026 - Tags: clinical, documentation, review - Audiences: Clinical teams, Healthcare operations teams - Delivery modes: custom-build, licensed, dfy, partner - Offer modes: pilot, team, enterprise, partner - Sales position: Reduce documentation burden without moving clinical judgment, patient privacy, or chart accountability away from qualified people. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Discuss a bounded pilot - Description: A privacy-bounded assistant that prepares clinical documentation for accountable clinician review. - Highlights: - Prepares drafts for clinician review. - Keeps patient privacy controls central to delivery. - Cannot diagnose, prescribe treatment, or finalize charts. ## Automated Trading Agent - Slug: trading-agent - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Capital intelligence - Year: 2026 - Tags: trading, research, automation - Audiences: Traders, Funds, Fintech teams, Research groups - Delivery modes: custom-build, licensed, partner - Offer modes: pilot, team, enterprise, partner - Sales position: Lead with research discipline and team visibility; live execution is a separate, authorization-heavy product decision. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Request a conversation - Description: A trading-research and automation assistant for monitoring signals, testing hypotheses, and making decision context more legible. - Highlights: - Organizes market research and scenario analysis. - Can begin with paper or shadow workflows. - Keeps execution authority separate from research assistance. ## Revenue Intelligence Platform - Slug: revenue-intelligence-platform - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Data intelligence - Year: 2026 - Tags: revenue, attribution, measurement - Audiences: Revenue teams, Marketing teams, Operators, Agencies - Delivery modes: hosted, custom-build, licensed, dfy - Offer modes: pilot, team, agency, enterprise, partner - Sales position: Make revenue signals easier to inspect while separating directional attribution from experimentally verified incrementality. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Design a measurement pilot - Description: A revenue measurement layer that connects consented events, attribution, and outcome review without overstating causality. - Highlights: - Uses first-party or consented data. - Labels observed and modeled attribution clearly. - Keeps budget changes under human approval. ## Sports Betting Intelligence Agent - Slug: sports-betting-agent - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Sports intelligence - Year: 2026 - Tags: sports, research, odds - Audiences: Sports fans, Research groups, Media companies, Data teams - Delivery modes: hosted, custom-build, licensed, partner - Offer modes: pilot, team, enterprise, partner - Sales position: Sell the quality of the research loop and the visibility of assumptions, not certainty or guaranteed outcomes. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Request a conversation - Description: A sports research assistant for comparing information, tracking assumptions, and making a betting thesis easier to inspect. - Highlights: - Compares evidence and assumptions around a sports thesis. - Makes uncertainty visible instead of hiding it. - Can be packaged for research, media, or fan communities. ## AI Agency Operating System - Slug: agency-ai-workbench - Destination: Unavailable - Status: planned - Access: unavailable - Proof: not-yet-proven - Flywheel stage: build - Last verified: 2026-07-15 - Category: Agency infrastructure - Year: 2026 - Tags: agencies, white-label, delivery - Audiences: Agencies, Consultancies, Service firms - Delivery modes: hosted, custom-build, dfy, partner - Offer modes: pilot, agency, enterprise, commission - Sales position: Package reusable software as a fixed installation or managed operation while keeping every client's authority and delivery evidence separate. - Commercial priority: Not prioritized - Buyer hypothesis: Not prioritized - Research references: None - Owner: Not specified - Platform: Not specified - Action: Request a conversation - Description: Reusable software for agencies to install, configure, and operate governed AI services across client accounts. - Highlights: - Supports reusable software and fixed installation packages. - Adds managed operation without blurring tenant isolation. - Keeps client-owned permissions and acceptance tests visible.