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Zynavia Systems

AI agents

Build Your Digital AI Workforce

Intelligent agents that understand goals, interact with systems and complete business workflows.

Architecture

From event to action

An agent is a system, not a prompt: reasoning, knowledge and tools sit inside a governance boundary.

01

User / Event

02

AI Agent

03

Reasoning

04

Knowledge

05

Tools

06

Action

Tools

CRMERPDatabaseEmailAPIsDocumentsCloud Services

Agent roles

Each agent has a job description

A role, a set of allowed systems, a definition of done and an escalation path — that is what makes an agent deployable.

workflow agent · run
  1. 1Read requestEmail
  2. 2Look up accountCRM
  3. 3Check stock and pricingERP
  4. 4Draft reply and quoteDocuments
  5. 5Await approvalHuman
CRMERPEmailMicrosoft 365Slack / Teams
  • Customer-support agents
  • Sales agents
  • Finance agents
  • Procurement agents
  • HR assistants
  • Software engineering agents
  • Security assistants
  • Research agents
  • Reporting agents
  • Operations agents

Agent governance

Boundaries make agents usable

Controls around every action the agent can take — designed in, not bolted on.

  • Authentication
  • Authorization
  • Audit logging
  • Human approval
  • Model monitoring
  • Cost controls
  • Security boundaries
  • Sensitive-data controls

Have an Idea? Let's Build What Comes Next.

Whether you're modernizing existing software, moving to the cloud or developing an AI-powered product, our engineers can help turn your vision into a production-ready solution.