Confirm the business workflows, systems and decisions the agents must support, and the constraints they must respect.
10-15 days · EUR 5,000-12,000
AI Agent Blueprint.
Scaling AI without a design is how companies end up with unreliable answers and runaway token bills. The Blueprint is the architecture phase: agent roles, rules, knowledge structure, integrations and the control model — on paper, before anything expensive is built.
Who it is for
Built for a specific moment.
For companies that validated AI value (often through an audit) and want a reliable design before building: clear roles, limits, escalation rules and a cost model.
Process
How the work runs.
Define agent roles, goals, prohibited actions, escalation rules and acceptance criteria for each workflow.
Design the instruction architecture, knowledge base structure and the integration map for CRM, ads, tasks and reporting.
Set quality control rules, human approval points and the token cost model — so reliability is designed in, not patched later.
Deliverables
What you walk away with.
- Agent roles, goals, limits and escalation rules
- Instruction architecture and knowledge base design
- Integration map for CRM, ads, tasks and reporting
- Quality control rules and cost control model
FAQ
Specific to this service.
Do we need an audit before the Blueprint?
It helps but is not mandatory. If your AI landscape is already clear and documented, the Blueprint can start from a scoping session instead.
Who implements the Blueprint?
Your team, mine, or a mix — the document is written so any competent implementer can build from it. The Control Tower Pilot is the natural next step if you want me to build it.
Get started
Ready to put your AI under control?
Start with a focused AI Agent Audit — a clear map of risks, quick wins and a practical roadmap. No obligation to continue.