Workflow automation
Automate stable steps such as routing a request, creating a task, preparing a document or sending an internal notification. The trigger, required information and expected result should be explicit.
Define permissions, exception handling and confirmation. Missing data or a failed connection must lead to a visible next step, not silent incomplete work.
Assisted decisions with visible evidence
Help a person find context, compare information or prioritise an exception. The system should show the evidence it used and the uncertainty that remains.
Choose the decision owner and the cost of a wrong recommendation. Consequential actions need the agreed review and approval boundary.
Human handoff and recovery
Make it clear when a person needs to review, correct or take over. The handoff should include the request, relevant context and the reason it needs attention.
Keep an audit trail appropriate to the task and a route to stop or recover the workflow. Avoid giving a model authority that the application or responsible person has not granted.
Bring examples, not an AI wish list
Bring a repeated task, approved sample inputs, useful outputs and examples of wrong answers. Explain who will use the result and what would happen if it were mistaken.
We assess whether a rule or AI is appropriate, agree evaluation criteria and build a bounded workflow. Wider data access and external actions require their own scope and controls.