For public-sector technology leaders, the key management issue is not whether AI or GIS is useful, but how to govern a shared service model across agencies without losing local accountability. Centralising portals, data and decision support can reduce duplication, yet it also forces clearer ownership for service quality, data stewardship and citizen-facing exceptions. The practical question is which functions should be standardised statewide and which should remain agency-specific because of policy, risk or operational nuance.
The strategic trade-off is portfolio discipline. Washingtonโs approach implies that digital equity, analytics and automation must compete against budget pressure, legacy support and security obligations. That means leaders need explicit criteria for funding: service reach, employee time saved, risk reduced, and measurable resident outcomes. If those measures are not defined up front, AI and platform investments can become unfocused modernization rather than a managed reform programme.
Talent and adoption are equally central. Tools such as AI-assisted code interpretation or a resident portal only create value if frontline teams trust them, know when to override them, and understand the process changes around them. CIOs should ask: what training, role redesign and communications are required? Which teams own the new digital front door? How will agencies be held to common service standards while preserving mission-specific workflows?
The next management step is to treat governance as a delivery accelerator, not a compliance layer. That means setting decision rights for AI use, clarifying data ownership, and defining how benefits will be tracked across agencies. The strongest payoff will come where digital equity, operational efficiency and resilience are managed as one portfolio rather than three separate agendas.
Goal No. 2: ‘From insight to impact: Improving lives through data’
This goal is designed to provide data-driven insights that can be used to inform improvements to public services and provide more transparency on government services for the community. “What we’re trying to do with data in the state is to gain insights into how our services are being consumed and how well they are serving residents,” Kehoe said. “Those insights are so valuable because we should be able to make adjustments to improve the service.” One way the state is focusing on improving data management and visibility is through investment into GIS ย software. “The GIS community has done a fantastic job of data management. They’ve really been a model for how to manage and utilize data associated with the GIS layers, and we can learn a lot from that and improve as an enterprise,” Kehoe said. For example, state agencies can use GIS software that incorporates data from light detection and ranging technology ย to analyze the landscape and take a more proactive approach to mitigating potential landslide hazard areas before they become a problem. GIS is also used to manage statewide parcel data, support emergency services assessments and assist the Department of Social and Health Services in identifying healthcare deserts. “In case of a flood, our emergency operations center can pinpoint, using GIS, where the floods are occurring, where the roads are closing and where resources are needed,” Kehoe said.โWhat we’re trying to do with data in the state is to gain insights into how our services are being consumed and how well they are serving residents.โ โ Bill Kehoe, CIO, Washington State
Goal No. 3: ‘Relentlessly pursue relevant technology to improve services’
Another objective for Kehoe’s team is prioritizing the identification of innovative and emerging technology โ such as AI and GIS โ to address statewide issues like housing and homelessness. In addition to these tools, Kehoe’s team utilizes multiple cloud platforms, including Databricks, AWS and Azure. Washington’s IT team has used AI to improve customer experience and employee efficiency, as well as to modernize its agencies, Kehoe said. One AI deployment that supports employee efficiency involves reading COBOL on mainframes and relaying the “business logic or eligibility rules in plain English โฆ there are all kinds of printed code documents to interpret,” Kehoe said.Goal No. 4: ‘Transform how we work to enable strategic modernization’
The Washington State IT team is also focused on identifying and retaining top talent to support a “modern, responsive government.” Investing in up-to-date technology is key to supporting the state’s employees, Kehoe said. “Agentic AI [for example] is so exciting. If we can show new talent that, ‘hey, this is what you’re going to be working on, and you’re going to be helping your communities in the process,’ then that can draw them in โฆ and create a culture that’s very innovative within government,” Kehoe said. Kehoe explained that having a strong cybersecurity strategy is also critical across state agencies. Government employees are required to take security awareness training, and preventing threats from AI, ransomware and phishing is top of mind for Kehoe. His team also recently established the state’s first AI policy, setting guardrails for the secure use of AI. One of the biggest challenges to achieving the state’s IT Strategic Plan goals is the budget โ specifically, balancing budget cuts with keeping IT initiatives moving forward, Kehoe said. But he said he views AI as an avenue to improve efficiencies while adopting advanced technologies. “I’m really looking three to five years down the road. Where will we be with AI and agentic AI, and how much more advanced will the technology be?” he said. “It’s an exciting time for me to be a state CIO.”Enjoyed this article? Sign up for our newsletter to receive regular insights and stay connected.

