AI & Intelligent Automation
Design AI-enabled applications and automation around a defined business problem. Engagements can include knowledge assistants, retrieval-augmented generation, document processing and assisted operations. We assess data permissions, model and hosting options, evaluation criteria, cost boundaries and human review requirements before a staged pilot. Model outputs are tested against representative cases rather than assumed to be accurate.
Scope and deliverables
- AI use-case discovery and feasibility assessment
- Knowledge assistants, retrieval and document workflows
- Model integration, access controls and human approval gates
- Evaluation datasets, monitoring and inference cost planning
Assessment and delivery
We begin with your current environment, access boundaries, application dependencies and business priorities. The scope identifies the systems involved, agreed acceptance checks and the people responsible for implementation and ongoing operation.
Changes are staged where practical. We document configuration decisions, validate representative workflows and plan recovery access before a cutover or restrictive change.
Operational handover
Delivery includes configuration records, essential operating instructions and a review of remaining dependencies. Support windows, response expectations and follow-up work are agreed for the engagement.