Workshop
Work through an AI use case with msharti. Map what it needs to read, decide what needs a human yes, and leave with a clear next step.
A named user. One permitted tool. Only the fields the task needs.
Within role · read allowedA clear proposed change. A separate approver. Nothing runs first.
Human approval requiredBring the people who use the system, own the risk and understand the technical setup. We work through the same example together.
Start with a task your team already does. Agree where AI would help, which records it needs and what a good outcome looks like.
Follow the request from a named person to a tool, a role check and, for a write, a human decision. Test what should stop.
Turn what you learn into a practical scope. Separate what can be read first from any action that needs more review.
The point is to make the decisions visible: who may ask, what AI may reach and who stays accountable.
The task, data and intended outcome, written down together.
The read boundary, proposed writes and people who would approve them.
What to test next, and what still needs to be agreed before a pilot.
Use a fictional or redacted example for the session. Share any sensitive material only through an agreed secure channel.
A business sponsor, a risk owner and someone who understands the system.
One workflow, a few sample questions and an idea of what the team needs to do.
A system owner and an outline of the available APIs or documentation.
Tell us about your workflow when you book an assessment. We will agree the session format, scope and next steps with you.
For a team exploring governed AI on its own systems. A working session, with the controls and open questions in view.
Book an assessmentStart with an assessment conversation so we can understand your team and the task.