The documentation, readable.
The AI Factory rules, methods and commercial models — organised for anyone who wants to understand how we work before talking to us.
What AI Factory is
AI Factory is the VETORSTACK unit dedicated to one thing: turning business processes into AI systems that work in production.
We don't sell demos, trend reports, or prototypes that die in a slide deck. The model is a complete pipeline:
DISCOVER ──► BUILD ──► DEPLOY ──► OPERATE ──► IMPROVE │ │ │ │ │ measurable real real Managed continuous opportunity solution production AI evolution
The commercial funnel follows the same logic: Visitor → Qualified Lead → Opportunity Call → Paid Discovery → Implementation → Managed AI. Each step produces evidence before the next commitment.
Reading map
This area organises the AI Factory operational documentation into navigable pages. Start wherever fits your decision:
Six solution families — Sales, Customer Service, Knowledge, Document Intelligence, Operations and Analytics.
DOC · PLAYBOOKAI DiscoveryThe paid entry offer: three tiers, 15 phases, concrete deliverables before any implementation.
DOC · SYSTEMMethod & FactoryThe Discover→Build→Deploy→Operate→Improve pipeline and the Factory Engine / Golden Kernel.
DOC · SERVICESManaged AIWhat happens after go-live: seven service layers and three continuous-operation tiers.
Principles running through everything
| Principle | In practice |
|---|---|
| Outcome before the model | A good AI project starts from a measurable business problem — not from technology looking for an application. |
| Production first | A demo proves AI works. Production proves it creates value. We build for the second column. |
| Discovery ≠ free consulting | Discovery is a paid offer with its own deliverables — opportunity map, business case and roadmap. |
| Humans in control | Human validation at critical steps, explicit data boundaries, observability and continuous evaluation. |
| Go-live is the start | Models evolve, knowledge changes, costs move. Production AI needs active operations — Managed AI. |
How the documentation is organised
AI FACTORY
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MASTER DOCUMENTATION
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┌───────────────┼───────────────┐
│ │ │
STRATEGY OPERATIONS ENGINEERING
│ │ │
BUSINESS PLAYBOOKS STANDARDS
│ │ │
└───────────────┼───────────────┘
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TEMPLATES
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EXECUTION
Every document defines purpose, scope, owner, authority, inputs, outputs and dependencies. The documentation is not a file collection — it is the Factory's operating system.