AI Agent Development

AI agents that do real work, with people in control

Agents that handle multi-step work across your tools, with approval points wherever judgement matters.

12+ years shipping web and mobile apps for clients in the US, UK, Australia and India

Human checkpoint

Trigger, then the agent reads and decides, calls your tools, waits for approval, acts, and logs it.

See the checkpoint

What changes

Work that runs itself, safely.

The agent moves the work. A person still decides at the approval point.

01

Multi-step work moves across your tools

02

A person approves wherever judgement matters

03

Every action is logged

Is this you?

When this is the right service

Use this when a chatbot reply is not the job. The job is a sequence of steps.

  • The work has several steps across more than one tool.
  • A reply in a chat window would not finish the task.
  • Someone must approve before certain actions.
  • You want a pilot on one workflow, not a new platform.

Good fit

  • A workflow you can map.
  • Tools the agent can call.
  • Clear places where a person should decide.

Not a fit

  • An open-ended chat with no tools and no owner.
  • A process that is not defined yet.
  • A decision that must be right with no review.

Services

What we build

One agent, one workflow, with the guardrails written down before the pilot.

Workflow map

The steps, the tools, and the points where a person must approve.

Guardrails

What the agent may do alone, and what waits. Set before the pilot is built.

Pilot agent

A fixed-scope agent on that one workflow. The price is quoted after the map.

Logs

A record of the actions it took, so a wrong step can be seen.

Tool connections

Calls into the systems you already use. Which systems is decided when we map the workflow.

Handover or ongoing care

Documentation so your team can run it, or Continuous Product Engineering if you want us to stay.

How an agent works

Every agent has a human checkpoint

The approval point is a person. The agent does not take that action on its own.

  1. 1

    Trigger

    A form, a message, a time, or a person starts the work.

  2. 2

    Agent reads and decides

    It reads the case and chooses the next step within the guardrails.

  3. 3

    Calls your tools

    It uses the systems the workflow already runs on.

  4. 4

    Approval point

    A person decides wherever judgement matters. The agent does not pass this alone.

  5. 5

    Action

    It takes the step you allowed, and only that step.

  6. 6

    Logged

    The action is recorded so you can see what it did.

How it works

From a map to a monitored agent

Five steps. The pilot stays on one workflow until you approve a wider scope.

  1. 01

    Map the workflow

    We write the steps, the tools, and where a person must approve.

    You get: that map, before any agent is built.

  2. 02

    Set guardrails and approval points

    We mark what it may do alone and what waits.

    You get: those rules in writing, and a fixed quote for the pilot.

  3. 03

    Build the pilot

    We build the agent for the mapped workflow only.

    You get: a pilot you can try on that workflow.

  4. 04

    Test on real cases

    We run real cases, including ones it should refuse or get wrong.

    You get: the results of those cases, not only the ones it handled well.

  5. 05

    Launch and monitor

    We launch the scoped agent and watch the log.

    You get: the agent live, with actions logged.

Built for production

How we make it dependable

An agent is production software. These are the checks around the pilot.

Testing

Real cases, including wrong ones, before launch.

Code review

A senior engineer reviews every change, including AI-generated code.

Security checks

What the agent can reach, and which actions need a person.

Monitoring

The action log, so a bad run is visible after launch.

Documentation

The map, the guardrails, and how to stop a step.

Handover

You own the code and the accounts. We hand over how to run the agent.

Technology

Tools we use, chosen per project

The agent calls your tools. The model is chosen during scoping. We do not name one here.

Your existing toolsApproval pointsAction logsModel chosen during scoping

Proof

Work in this area

Client names stay private. Studies are published on Work when they are written.

Pilot

Fixed-scope agent pilot

One multi-step workflow across your tools, with explicit approval before actions run.

See work
Edtech

AI feedback agent

Human-in-the-loop design for regulated or sensitive outputs.

See work

Ways to work together

How to work with us

Start with a fixed-scope pilot. A wider rollout is a new scope.

Recommended

Fixed-scope pilot

Best for one mapped workflow with approval points.

How it works We map the workflow, set the guardrails, and quote the pilot. No price is listed on this page.

Compare engagement models

FAQ

Common questions

Answers from the map, the guardrails and the pilot. Tools and the model are named during scoping.

A chatbot replies in a conversation. An agent handles multi-step work across your tools. It stops at an approval point wherever judgement matters, then acts, and the action is logged.

Next step

Tell us what you're building.

A fixed-scope pilot, quoted after we map the workflow and the approval points.