Most government agencies treat AI like a new piece of software. Katrina Mulligan, Head of National Security Partnerships at OpenAI, argues they should be treating it like a revolution in mission delivery.
In this high-stakes session, Katrina breaks down why "small pilots" are no longer enough and how the public sector can move toward true autonomous enterprise workflows.
đź’ˇ The headline impact:
Imagine a world where a single government process is optimized by 125 million hours annually. Katrina walks through a real-world case study from the department of the army, demonstrating how AI can automate 500 hours of manual work per contract across 250,000 annual contracts.
🗝️ Key takeaways:
- The "dual approach": Why you need bottom-up productivity tools and top-down transformation of 3–5 core workflows.
- Mission-first development: Why the "mission owners" (not just the IT department) must hold the keys to the solution.
- The compliance hurdle: Navigating FedRAMP and security without stifling innovation.
- Change management: How to train and lead a workforce through the transition from manual labor to AI-augmented judgment.
🚀 Why you should watch:
The future of government operations isn't about adding AI - it’s about redesigning how the state functions in the age of intelligence. Whether you are in the public sector or a highly regulated industry, Katrina’s framework for enterprise transformation is the definitive roadmap.
Ready to go deeper?
If you find this session valuable, it’s exactly the type of high-level technical deep dive we host inside the AIAI Pro membership.
Pro members don't just get the playbooks - they get the implementation secrets from engineers at places like OpenAI, Meta, and Nvidia who are actually building these redesigned workflows at scale.
Nasi Rwigema
AI accelerator insider insider
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