Enterprise AI & intelligent workflows
Connect language models to trusted information and bounded workflows, with clear permissions, evaluation and human oversight.
Where should AI assist, and where must control remain explicit?
Start with a specific task: finding an answer, reviewing a document or preparing a decision. Map the people, source information and systems involved. Agree what a useful result looks like, which errors matter and when the system must ask for help.
Design retrieval, tool access and orchestration around existing identity and information boundaries. Define what an assistant may read, propose and execute. Keep approvals, audit evidence and recovery paths visible, especially when a workflow can change another system.
Validate representative and difficult cases before widening access. Examine unsupported answers, stale knowledge, permission failures and interrupted actions. Build a rollout plan with monitoring, clear ownership and a way to stop or reverse an action.
What to take forward
- A bounded use case and success criteria
- Retrieval and workflow architecture with permission boundaries
- Evaluation cases, rollout gates and operating responsibilities
What should I bring to a conversation?
Bring the decision you need to make, the constraints you already know and a small, non-confidential example. We can then agree whether a resource, a focused review or a more detailed discussion is the right next step.