AI and Automation

We define scope, tools, data access and escalation paths, set out what good looks like in measurable terms, and prove one process against a real business outcome before significant resource is committed. Your engineering and compliance teams sign the design off before any code is written. If the value is not there you find out in weeks rather than after a year of programme spend.

Agents are built on Chocolate Factory and the applications they sit inside are generated on BuildPad, both connected to your existing systems, data and permissions model. Role-based access, audit logging and compliance controls are present from the first commit rather than retrofitted after a security review, and evaluations on accuracy, latency, cost and safety run every sprint.

Controlled rollout with human-in-the-loop checkpoints at the decision points that carry consequence, plus audit logging and rollback. Every decision, retrieval and tool call is traced, which is what makes the deployment reviewable by audit, compliance and model risk. Delivered this way for government agencies across audit review, correspondence handling and document processing at scale.

We monitor cost, latency and outcomes, tune what underperforms, and add agents and applications onto the same engine as new cases prove out, with central oversight of spend and quality across every team using it. The model that was right at launch rarely stays right for long, so retraining is planned work rather than an incident raised when somebody finally notices.