An agent for your process
When a standard agent is not enough: several systems, your own rules, chains of several agents. We start with a pilot on one scenario.
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.
Preliminary architectureNodes: 11
- Employee → Agent runtime
- Customer channel → Agent runtime
- Agent runtime → Guardrails · audit, LLM, CRM, ERP · 1C, +3 sources, Human approval
- Guardrails · audit
- LLM
- CRM
- ERP · 1C
- +3 sources
- Human approval → Update CRM, Send email
- Update CRM
- Send email
AGENT Sales + Reporting agent CONTEXT CRM · ERP · 1C · Database · DWH · Docs · RAG · Web search ACTIONS Update CRM · Send email 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.
02Custom agents
How a project runs
Process and data review, a pilot on one scenario with quality metrics, then expansion and handover to operations.
Does the agent need new services and APIs?
Development at DevZoneDevZone03Contact
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