The manager sells, the agent prepares

The agent qualifies the lead, pulls the CRM history, suggests the next step and drafts the email. The manager writes to the client — after reviewing the draft.

01Builder

Sketch your AI agent’s architecture

Pick tasks, sources, actions and the autonomy level — the diagram appears on the right: employee, agent, data, approval and actions.

01 · Tasks
02 · Data sources
03 · Actions
04 · Autonomy
Preliminary architectureNodes: 12
Preliminary AI agent architecture for the selected options
  1. Employee → Agent runtime
  2. Customer channel → Agent runtime
  3. Agent runtime → Guardrails · audit, LLM, CRM, Email, Calendar, Human approval
  4. Guardrails · audit
  5. LLM
  6. CRM
  7. Email
  8. Calendar
  9. Human approval → Update CRM, Send email, Book meeting
  10. Update CRM
  11. Send email
  12. Book meeting
AGENT
Sales agent

CONTEXT
CRM · Email · Calendar

ACTIONS
Update CRM · Send email · Book meeting

CONTROL
Every action approved by a person · Role-based access to sources · Audit log of every tool call

This is a preliminary outline. The architecture may change once we review the process and the data.

02AI Sales

What the agent does

Updates CRM records, books meetings in the manager’s calendar, flags abandoned deals.

04Contact

What do you want to hand to AI?

Describe the task in your own words, answer five questions and get a preliminary AI agent schema. Or just write to us.

Preliminary AI agent schema

Step 1 of 7

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