Every AI & Automation engagement is built around a simple rule: automate the repeatable part, keep a person accountable for the part that matters.
Automation handles the repeatable, high-volume work; genuinely ambiguous or high-stakes cases route to a person, not a model, for the final call.
Client data is used to deliver the engagement it was provided for, not to train third-party foundation models, unless separately and explicitly agreed.
Where AI assists a workflow, the system is built so a person can see why it made a given suggestion, not just accept the output on faith.
AI-assisted workflows fall under the same Managed Transformation model as everything else we build: reviewed and tuned as the business changes, not deployed once and left alone.
If an engagement has specific AI governance, data residency, or model-use requirements, raise it during scoping and we'll design around it.