AI Agents Development

Agents that do the work, and show their working.

We design and ship production AI agents that connect to your systems, carry out multi‑step tasks and hand high‑stakes decisions to a person. Every action is logged, every answer is sourced, and every agent has a clear boundary.

What we build

Where it pays off.

Typical use cases we design, build and run for clients.

  • Customer support agentsResolve tickets end to end: read history, check policy, draft the fix, and route refunds or exceptions for approval.
  • Sales & lead agentsResearch inbound leads, enrich CRM records, qualify against your ICP and book meetings.
  • Operations agentsReconcile invoices, chase documents, update ERP records and flag anomalies.
  • Internal copilotsGive every team an assistant that knows your policies, products and data, with access control.
01How it runs

From first call to production.

Discover

Define the decision

Map the workflow, data and the outcome we will measure.

Prototype

Prove it on real data

A working build scored against an agreed evaluation set.

Ship

Integrate & secure

Connect your systems, add guardrails, access control and logging.

Operate

Measure & improve

Dashboards, alerts and regular outcome reviews.

What you get

Deliverables

Agent architecture & guardrailsTool and API integrations (MCP)Human‑approval workflowsAction logs & audit trailEvaluation suiteMonitoring dashboard
Typical stack · model‑agnostic
ClaudeGPTGeminiLangGraphMCPTemporalPostgres

Start with an AI Launchpad

A working prototype of your ai agents development use case, tested on your data, before you commit to a full build.

Book a scoping call →
Let's build with purpose

Let's scope your ai agents development project.

Share the problem and the systems involved. We will come back with a plan, a timeline and how we would measure success.