Custom AI Agents & Automation

Automate the workflows that matter.

AI agents grounded in your own knowledge that take on repetitive work across your systems, with your people approving the decisions that count.

For teams losing hours to checking, answering and re-keying

AI agentsWorkflow automationHuman in the loop
From

Skilled people stuck on repetitive work

To

Agents on the routine, people on the decisions

What we offer

How we work
  1. Map the workflow and its decision points
  2. Size the effort and the risk of each step
  3. Agree what the agent does and what people keep
01

Workflow Discovery

Find the work worth automating.

The challenge

Automation fails when it starts from the tool rather than the work: the wrong process, or the right one mapped badly.

What you receive
  • Workflow map with decision points
  • A ranked list of steps to automate
  • Success measures agreed up front
The outcome

A clear, agreed case for each agent before it is built.

  1. 01 / 03

    Workflow Discovery

    Find the work worth automating.

    The challenge

    Automation fails when it starts from the tool rather than the work: the wrong process, or the right one mapped badly.

    How we work
    1. Map the workflow and its decision points
    2. Size the effort and the risk of each step
    3. Agree what the agent does and what people keep
    What you receive
    • Workflow map with decision points
    • A ranked list of steps to automate
    • Success measures agreed up front
    The outcome

    A clear, agreed case for each agent before it is built.

  2. 02 / 03

    Agent Build

    Agents grounded in your own knowledge.

    The challenge

    Generic AI tools guess. Agents in a regulated business need to act on your rules, your data and your systems.

    How we work
    1. Ground the agent in your documents and data
    2. Connect it to the systems it needs to act in
    3. Test it on real cases before it goes live
    What you receive
    • Custom AI agents and assistants
    • Automated document and data workflows
    • Permissions scoped to each task
    The outcome

    Repetitive work done the same way, every time.

  3. 03 / 03

    Human in the Loop & Monitoring

    People approve what matters.

    The challenge

    An agent nobody can oversee is a risk, however accurate it looks on day one.

    How we work
    1. Set the approval points for key decisions
    2. Monitor accuracy and performance in production
    3. Review and retrain on what the reviewers correct
    What you receive
    • Approval steps built into each workflow
    • Performance and accuracy monitoring
    • A log of every action the agent takes
    The outcome

    Faster, more consistent work, with your people focused on what matters.

How an engagement runs

One workflow first, proven, then the next.

  1. Map

    The workflow, its decision points and its cost.

  2. Build

    An agent grounded in your knowledge and systems.

  3. Pilot

    Real cases, with people approving every decision.

  4. Scale

    Loosen the approvals only where the evidence allows.

Show us the workflow. We'll show you the agent.

Not sure where to start? Take the AI readiness check.