What should your team be able to do with AI?
Consider a team that can produce a report with AI but still spends as long checking and correcting it. Participants need to examine why the complete process takes that time and decide what to change.
Decisions participants work on
Leaders select a workflow to test and define how it will be reviewed. Employees practise on tasks from that workflow, then check and revise the resulting work with their managers.
Where should GenAI enter first?
A prioritised list of use cases assessed by value, data availability, risk and workflow ownership.
What will make AI-assisted work reviewable?
A review rule that defines the evidence, sources and assumptions a manager needs to evaluate AI-assisted work.
What happens after the session?
A follow-up plan that names the workflow owner, employee practice and evidence to review after 30 days.
GenAI adoption training in India
The audience, business problem and work samples determine the format.
CXO decision workshop
CXOs, business heads, senior managers
Identify the workflows to test, an owner for each one and how leadership will review the work.
Employee GenAI re-training sequence
Managers, employees, HR, L&D
Practise role-specific tasks, check AI-assisted output and produce work that managers can review.
Stalled-pilot adoption sprint
Teams moving from pilot to deployment
Examine where the previous pilot stopped, then revise the workflow and review rules for the next trial.
Teaching experience and product work
I hold a PhD from IIM Ahmedabad, am former faculty at XLRI and lead product at Rehearsal AI.
My teaching has included 2,000+ managers and leaders across 60+ organisations and institutions in banking, healthcare, manufacturing, the public sector, education and professional services.