01
Agents that use your tools
CRM, ERP, email, databases, documents and APIs become tools the agent can call — not copy the user has to paste into a chat window.
Digital Workforce
Build Your Digital AI Workforce
Intelligent agents that understand goals, interact with systems and complete business workflows — with the governance an enterprise actually needs.
The business problem
Where this usually breaks
Automation that only moves tickets or copies fields still leaves judgment, lookup and exception handling to people. Meanwhile, unconstrained agents create risk around data, spend and actions they should never take alone.
workflow agent · run
- 1Read requestEmail
- 2Look up accountCRM
- 3Check stock and pricingERP
- 4Draft reply and quoteDocuments
- 5Await approvalHuman
CRMERPEmailMicrosoft 365Slack / Teams
Conceptual interface — illustrative of the pattern, not a client system.
Capabilities
What we build here
- 01Customer-support agents
- 02Sales and lead-qualification agents
- 03Finance and reporting agents
- 04Procurement assistants
- 05HR assistants
- 06Software engineering agents
- 07Research and knowledge agents
- 08Operations agents
- 09Multi-agent systems
- 10Human-in-the-loop approval
How Zynavia helps
Engineering, not just advice
02
Reasoning with boundaries
Authentication, authorization, audit logs, monitoring and cost controls sit around every action the agent can take.
03
Automation that compounds
We start with a high-value workflow, then extend the same agent platform across teams without rebuilding the foundation each time.
Architecture / approach
How the work runs
- 01
Define the job to be done
Each agent has a clear role, allowed systems, success criteria and escalation path.
- 02
Wire knowledge and tools
Retrieval, APIs and business rules give the agent the context and capabilities it needs to finish the work.
- 03
Govern and observe
Human approval, tracing and evaluation keep the agent useful in production — not just impressive in a demo.
Technologies
Chosen for the workload
Tools are selected against the problem, the existing estate and the team that will operate the system.
OpenAIAzure AIAnthropicPython.NETREST APIsMicrosoft 365CRM / ERP integrations
FAQ
Common questions
A chatbot answers. An agent can plan, retrieve knowledge, call tools and take actions in business systems — with controls on what it is allowed to do.
Only where you choose that. Sensitive or irreversible actions can require human approval, while routine work can run automatically.
Build Your Digital AI Workforce
Intelligent agents that understand goals, interact with systems and complete business workflows — with the governance an enterprise actually needs.