80% of Public Sector Leaders Are Ready for AI Adoption. Here’s What’s Getting in the Way

The conversation has shifted. Public sector leaders are no longer debating whether to adopt artificial intelligence. Instead, they’re figuring out how to do it responsibly and at scale.

CentralSquare partnered with Praxis Research Partners to survey 501 public sector decision-makers across local government and public safety. The survey found that 80% of leaders are extremely or very interested in implementing AI. The only question is how.

Interest and adoption are two different things. Agencies need confidence that AI will perform under real conditions, that appropriate guardrails exist, and that their implementation partner is trustworthy.

In this article, we break down the barriers to AI adoption in the public sector, what responsible implementation looks like, and how agencies can move forward with confidence.

AI Adoption Barriers in the Public Sector: What 501 Decision-Makers Told Us

Before committing to any AI initiative, agencies need honest answers to three questions.

• Is this technology trustworthy?
• Can AI-informed decisions be defended to oversight bodies and the public?
• Is the upside worth the institutional risk?

These aren’t abstract concerns. Government agencies operate under constant scrutiny. Decisions are public, accountability is mandatory, and mistakes are harder to contain. They can easily become a public record, a liability, or a headline.

According to the 2026 AI Insights Report, the top three barriers to AI adoption in the public sector are cost (42%), training (39%), and leadership buy-in (33%). Yet 72% of agencies have already embraced or incorporated some AI capabilities.

The skeptics may be in the minority, but their concerns are valid. Dismissing them will only erode confidence and stakeholder buy-in. Fortunately, the right AI partner can address those hesitations head-on with transparency and specificity.

Public Trust and AI Governance: What Government Agencies Need to Get Right

Technology in the public sector doesn’t succeed on capability alone. It requires legitimacy too. The public wants to know that it’s being used responsibly, transparently, and in their interest.

If the community isn’t bought in, you can have the best AI tool available and still fail to deploy it. In the AI Insights Report, 31% of public sector leaders cite “overcoming community concerns and fears about AI” as a significant barrier. That number reflects real pressure, not just perception.

In law enforcement, tools like facial recognition, predictive analytics, and automated reporting are already under public and legislative pressure. In local government, AI-informed decisions in finance and permitting carry their own audit and compliance exposure. The stakes are high on both sides.

According to academic research, when residents don’t understand how AI is being used, distrust grows. Left unaddressed, it can damage the agency’s relationship with the community.

The antidote isn’t to slow down; it’s to deploy responsibly. Through human review at key decision points, clear audit trails, and alignment with community expectations, you can adopt AI credibly and defensibly.

Trust grows when the public understands how AI is being implemented and can see the benefits firsthand. That visibility turns skepticism into confidence.

What to Ask Any AI Vendor Before You Sign

Before signing a contract, agencies need a consistent framework for evaluating what they’re actually buying. Otherwise, you may end up with a tool that can’t hold up to internal review, audits, and oversight bodies.

When used irresponsibly, AI is a liability. According to Pew Research Center, 70% of AI experts are highly concerned about inaccurate AI outputs. For agencies managing RMS data, financial records, or permit documentation, that risk is real and operational.

NIST’s Trustworthy AI framework gives agencies a concrete starting point. Any AI tool your agency evaluates should be assessed across seven characteristics. Not only that, the right vendor should be able to answer questions across these categories before deployment.

• Validity and Reliability – Does the system perform as intended, consistently?
• Safety – Are risks identified and mitigated before deployment?
• Security and Resiliency – Can it withstand adversarial conditions?
• Accountability and Transparency – Can decisions be explained and audited?
• Explainability and Interpretability – Can staff and oversight bodies understand how outputs are reached?
• Privacy – Does it handle sensitive data in compliance with applicable law?
• Fairness with Mitigation of Harmful Bias – Are outputs equitable across populations?

Training is one of the top barriers to AI adoption, but it shrinks significantly when AI is scoped to a specific workflow. That way, staff learn one process at a time, building confidence through measurable results rather than facing the technology all at once.

Where AI Has to Prove Itself: Workflow Integration for Public Safety and Local Government

The test of new technology (AI or otherwise) is in its application. Any tool can have an impressive demo. The real question is, does it save time or add complexity on top of already stretched teams?

The AI Insights Report offers a clear answer, but it differs by sector.

• For public safety, AI functions as an intelligence amplifier. 55% of PSJ respondents believe AI can continuously improve department function and proactively identify risks before they escalate. This provides officers, dispatchers, and commanders with better information, faster.
• For local government, AI is a capacity multiplier. 53% of PA respondents believe AI can enable staff to take on higher-importance assignments, freeing teams from routine work.

In both cases, the common thread is specificity. AI delivers the most value when it targets a defined pain point—not when it’s deployed broadly across an organization hoping something sticks. Done right, it frees public sector teams to focus on work that requires human judgment.

How CentralSquare Addresses These Concerns

Understanding the barriers to AI is one thing. Having products built to address them is another. CentralSquare has developed two solutions specifically for the governance, compliance, and accountability demands of government agencies. One built for workflow integration across the public sector, and one that delivers real-time intelligence without requiring agencies to rebuild their tech stack.

Centerline AI™ is purpose-built for public sector workflows. For public safety AI applications, it handles report writing, transcription, and redaction—workflows where accuracy and auditability are prerequisites. Human-in-the-loop AI oversight is built into every step, so agencies can demonstrate responsible AI use to regulatory bodies without having to explain it after the fact.

For local government, public administration AI like Centerline is built for Finance Enterprise and Community Development—assisting with AP processing, budget analysis, permit review, and IBC compliance. Unlike general-purpose AI tools retrofitted for government, it works from specific data your agency already has.

CentralSquare One™ solves a different problem, one that exists in every agency regardless of their AI capabilities. Critical intelligence already lives in CAD, RMS, and dispatch systems. The problem is getting it to the right person at the right moment. CentralSquare One connects those systems in a unified intelligence layer, delivering real-time context to every responder automatically. Not only that, it doesn’t require you to rebuild your tech stack or hire a team of analysts to manage it.

How to Move Forward with AI Responsibly

The data is clear. AI early adopters are already seeing 2x the benefit compared to agencies still waiting. That gap will only continue to widen.

A phased approach makes adoption more manageable. Start with a lower-stakes workflow, measure the impact, build internal confidence, and then scale. Every concern raised in this article has a path forward. The agencies already deploying AI are proof of that.

AI adoption requires thoughtfulness. More than moving rapidly, it’s about establishing the right governance structures and finding the right partners.

CentralSquare supports agencies from evaluation through implementation, with public-sector expertise in governance, compliance, and responsible AI deployment. Ready to take the next step? Read the AI Insights Report or request a consultation today.