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Platform / Models · tools · knowledge · voice

Build agents that can complete work inside governed processes.

Design text and voice agents with model choice, instructions, knowledge, typed tools, budgets, versions, tests, external-agent support and explicit human control.

Book a working sessionModel the outcome
A continuous signal routed through decision, human judgement and completion
AI Agent BuilderOutcome-led system

Carry context through the process.

Interactionvoice · text · digital
Processroute · verify · wait
AIunderstand · retrieve · act
Humanjudge · approve · assist
Systemsupdate · create · notify
Outcomemeasure · learn · improve

How the work moves

From entry point to accountable outcome.

The process can be conversational, event-driven or both. Every step remains visible and changeable.

  1. 01

    Define

    Choose model, reasoning, instructions, modality, budgets, knowledge and allowed tools.

  2. 02

    Ground

    Bind governed knowledge, files, SQL, data graphs and source-aware retrieval.

  3. 03

    Act

    Expose typed capabilities, flows, APIs, MCP tools and external systems.

  4. 04

    Evaluate

    Test tasks, tool use, safety, latency, cost and expected handover behaviour.

  5. 05

    Publish

    Version, release, observe, compare and roll back while preserving the audit record.

Capability

Built around the work you need to complete.

One platform, with custom engineering where the final mile needs to fit your business exactly.

Model configuration

Azure-hosted models and tenant model credentials, with additional providers and external-agent connections scoped for your requirements.

Grounded context

Knowledge, vector retrieval, data graphs, files, databases and conversation history.

Typed tools

Flows and product capabilities provide typed tools. MCP, WebMCP and external integrations are delivered through custom engineering.

Quality lifecycle

Versioned agents and run records, supported by evaluation cases, simulations and human review designed for your engagement.

Outcome direction

What this is designed to change.

  • ↗Agents that resolve rather than only answer
  • ↗Explicit action boundaries
  • ↗Model and provider control
  • ↗Repeatable quality checks
  • ↗Safe human escalation
Integration scopeAzure AI and OpenAI-compatible modelsExternal agent endpointsMCP and WebMCPKnowledge and vector searchFlow BuilderHuman Desk

Channel availability, external integrations and deployment requirements are confirmed for your engagement. See delivery scope.

Start with one costly process

We’ll map the demand, data, controls and path to value.

Bring us the process