Validation queue + shared ML engineer
VALUE AT STAKE · $9.0MWHAT TO DO
Configure authority levels for 9 AI agents. Set what machines may do and what requires human approval.
HOW
Set each agent's authority (Observe → Autonomous), review project twins and FinOps, then write and seal your doctrine.
AIPM FLIGHT DECK 2.0 · AGENTIC PROGRAM COMMAND
Lead the team that never sleeps.
Configure digital-worker authority, inspect project twins, manage AI economics and prove that delegation still leaves a human accountable.
AI AGENTS9Digital delivery team
AUTONOMY INDEX39%Configured authority
AUTHORITY EXPOSURE37Higher is more exposed
AGENT SCORE64Command profile
AI PROJECT AUTHORITY MATRIX
12 agentic missions →Decide what machines may do.
PROJECT DIGITAL TWINS
The future is a probability, not an order.
Red-team gate + vendor model change
VALUE AT STAKE · $5.7MFeature-store dependency + lineage
VALUE AT STAKE · $12.4MCISO slot + tool authority design
VALUE AT STAKE · $7.1MAI FINOPS · LIVE ECONOMICS
$5.1M forecast on a $3.8M run-cost budget.
Frontier-model routing accounts for 47% of spend. Repeated agent loops are now a budget risk, not just an engineering detail.