Making Complexity Invisible: Oklahoma’s AI Strategy for Modern Government

Presented by Palo Alto Networks, Ping Identity & Carahsoft

For the State of Oklahoma, artificial intelligence is not just a technology initiative—it is a central component of a broader effort to modernize government operations and improve service delivery.

Tai Phan, Chief AI and Technology Officer for the State of Oklahoma, and Daniel Langley, Chief Information Security Officer for the State of Oklahoma, are leading that transformation.

Their mission is ambitious: reduce complexity across state systems while ensuring AI deployments remain secure, trustworthy, and beneficial to citizens.

Screenshot 2026-03-05 at 9.39.28 PMPhan explains that Oklahoma’s journey toward AI adoption began with the creation of an Emerging Technology AI Task Force established by the governor. That initiative laid the groundwork for a broader strategy that integrates AI into the state’s long-term technology roadmap.

“AI definitely is the refinery of data,” Phan says, referring to the idea that while data is often called the new oil, AI provides the tools needed to extract meaningful insights from it.

But turning that vision into reality requires addressing one of government’s biggest challenges—fragmented legacy systems.

Many of the systems used by state agencies today were developed over decades, often operating independently of one another. This disaggregation makes it difficult to integrate data, analyze information, or deliver seamless services to citizens.

Oklahoma’s approach focuses on simplifying the technology landscape.

By centralizing platforms, modernizing infrastructure, and improving data governance, the state hopes to make complexity “invisible” to both agencies and residents.

This modernization effort also enables greater data democratization. Instead of locking information within isolated systems, agencies can access and analyze shared data resources more effectively.

Langley emphasizes that cybersecurity must evolve alongside modernization.

Screenshot 2026-03-05 at 9.38.14 PMWith more than 180 organizations across the state government ecosystem, maintaining visibility into potential threats is essential. Real-time monitoring and centralized data management allow security teams to detect vulnerabilities faster and respond more effectively.

But AI itself introduces new risks.

Deepfakes, automated phishing campaigns, and AI-powered fraud are emerging threats that governments must prepare for. Langley notes that while AI can reduce technical debt and improve operational efficiency, it also expands the potential attack surface.

That is why close collaboration between innovation and security leaders is critical.

Phan describes the relationship between his role and Langley’s as complementary rather than adversarial. Innovation must move quickly to deliver value, but it must also remain aligned with strong security and governance frameworks.

“Innovation without accountability is a recipe for failure,” Phan says.

At the center of Oklahoma’s strategy is a commitment to customer-centric government.

State technology leaders increasingly view agencies and citizens as customers who expect digital services that are easy to use, reliable, and responsive.

Meeting those expectations requires more than technology upgrades—it requires a cultural shift within government IT organizations.

Screenshot 2026-03-05 at 9.37.52 PMPhan believes public sector technology teams must adopt a product mindset similar to what exists in the private sector. That means focusing on user experience, delivering continuous improvements, and ensuring that investments produce measurable value.

AI plays a central role in enabling that transformation.

By simplifying complex systems, unlocking data insights, and improving decision-making, AI has the potential to reshape how government operates.

For Oklahoma, the goal is clear: harness the power of AI while ensuring innovation always serves the public interest.

Key Takeaways

  • Modernizing infrastructure and centralizing data are essential steps for successful AI adoption.
  • Cybersecurity must scale alongside innovation to protect citizens and government systems.
  • Customer-centric government requires adopting new technology mindsets and delivering services that prioritize user experience.