Module I
Enterprise LLM Economics & Architecture
Deconstruct compute costs, cloud vendor margins, tokens-per-workflow economics, and buy-vs-build matrices.
- Open-weight vs Closed Proprietary API trade-offs
- CapEx vs OpEx allocation models for generative workloads
- GPU capacity reservation and latency mitigation
Module II
Risk, Compliance & Board Governance
Mitigate regulatory liability across EU AI Act, US Federal executive orders, IP infringement, and data leakage.
- Enterprise data isolation & zero-retention SLAs
- Red-teaming corporate knowledge bases
- Algorithmic liability and board fiduciary duties
Module III
Autonomous Workforce & Agent Orchestration
Transition legacy departments into agent-augmented operations. Redesign organizational throughput.
- Workforce realignment and change management
- Multi-agent customer and analytics automation
- Executive KPI dashboards for autonomous operations
Module IV
Cap-Stone AI Strategic Roadmap Defense
Present and defend your company’s 3-year AI transformation roadmap before top venture capitalists and AI researchers.
- Private 1-on-1 critique with former Silicon Valley Chief AI Officers
- Board-ready investment deck deliverables
- Lifetime membership in Executive AI Council network