Agents in production
Real agents acting across systems, not a copilot pilot. The monitoring story needs something worth watching.
A monitoring stack with a history
Audit logs, evaluator checks, thresholds, escalation paths, and at least one story of the stack catching something, or failing to.
An incident or near-miss it will discuss
The debate needs a real moment where autonomy and oversight collided. Near-misses clear the feasibility filter more easily than incidents.
Numbers it will share
Run volumes, override rates, escalation counts, cost of the monitoring layer. Public comparators can dress the case; they cannot carry its exhibits.
A nameable technical protagonist
A CTO, CIO, or platform lead willing to be interviewed jointly, plus a platform engineer and a designated agent owner for the solo interviews.
Sector distinct from the other cases
The course already has pharma, healthcare, software, banking, and IBM. A portfolio company from a different lane keeps the case set wide.
One more thing worth knowing going in: Raj's public record frames AI as a value-creation lever, EBITDA, cash flow, exit multiples, and says almost nothing publicly about monitoring or governance. That gap is not a problem, it is a real question the visit can put to him directly.