AI agent development

Build an AI workflow around a real business task

RPT helps teams turn a repeatable process into a focused AI-assisted workflow with clear inputs, outputs, controls, and ownership.

What this service is for

Reduce repetitive handoffs

Connect defined steps so people spend less time moving information between tools.

Support faster decisions

Bring the relevant context together and present a reviewable recommendation.

Keep people in control

Place approval and escalation points where mistakes would have business impact.

Typical deliverables

  • Workflow and data-flow map
  • Prototype or production-ready interface
  • Tool and system integrations
  • Human-review and exception handling
  • Measurement and iteration plan

How a project runs

  1. 1

    Discover

    Select one process, define users, constraints, and source systems.

  2. 2

    Prototype

    Test the workflow with representative tasks and visible assumptions.

  3. 3

    Integrate

    Connect approved tools and data with appropriate controls.

  4. 4

    Operate

    Measure usage, quality, exceptions, and business value.

A good starting point

A process that happens often, has recognizable inputs and outputs, and currently consumes meaningful staff time.

A2A and MCP may be used when they fit the architecture. They are implementation technologies, not outcomes by themselves.