Intelligence.Engineeredto work.

Start with the business problem. We can scope a focused discovery engagement to review your workflow, data, and existing systems before agreeing on a build.

Yes. An architecture and data review helps establish where AI can improve the experience, what integration is needed, and how the feature should be evaluated.

We define evaluation criteria for the use case, apply appropriate access controls, and plan human review where mistakes carry consequences. Data handling, retention, and model provider choices are agreed during discovery.

Scope, integration complexity, and delivery requirements determine pricing. A proposal sets out deliverables, milestones, assumptions, and costs before implementation begins.

Source code handover, intellectual property, confidentiality, and third-party licenses are defined in the engagement agreement before work starts.

We prepare documentation and a handover plan. Monitoring, maintenance, incident response, and continued development can be included in an agreed support scope.