Development services

AI agent development

Build task-oriented assistants that use tools within explicit permissions and operational limits.

Discuss your project How we work

Reason. Act. Review.

01 / The detail

What we can build

Build task-oriented assistants that use tools within explicit permissions and operational limits.

Tool contracts
Scoped credentials
Evaluation scenarios
Approval and activity history

02 / The detail

Illustrative use case

A support assistant that gathers account context and proposes a resolution for an operator to approve.

03 / The detail

Decisions that matter

Bound tool access, iteration count and spend. Test prompt injection and tool failures before enabling an agent to modify business systems.

04 / The detail

From scope to a working release

Begin with the people, systems and decisions involved in this workflow. Agree what a useful first release must do, then validate its most uncertain dependency before expanding the build.

A scoped workflow and explicit acceptance criteria
A tested implementation with documented dependencies
Deployment, recovery and maintenance responsibilities agreed before handover

Delivery, end to end

A clear path through the build.

Discover the right problem

Understand users, existing systems and constraints. Define the outcome, acceptance criteria and dependencies before committing to a delivery scope.

Design and validate

Map the workflow, prototype key interactions and test the highest-risk technical assumptions. Agree the architecture and the first useful release.

Build in useful increments

Implement working slices with code review, meaningful tests and regular demonstrations. Review access controls, failure states and operational requirements as part of delivery.

Release and keep improving

Verify deployment and recovery, document ownership and hand over operation. Use feedback and observed behavior to prioritize support and the next iteration.

Questions, answered

Before we begin.

When is AI agent development a useful fit?

Build task-oriented assistants that use tools within explicit permissions and operational limits. Start by comparing the required workflow with your existing systems. A support assistant that gathers account context and proposes a resolution for an operator to approve.

What should we resolve before implementation?

Bound tool access, iteration count and spend. Test prompt injection and tool failures before enabling an agent to modify business systems.

How do we begin a project?

Share the workflow, intended users, existing systems and any release constraints. Discovery establishes scope, dependencies and acceptance criteria; estimates follow that assessment rather than a fixed promise before the requirements are known.

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