Shaping the Future of Legislative AI with ClarityTrack AI

How KAI Partners guided the Utah Office of Legislative Services through an intentional AI readiness and roadmapping journey to turn uncertainty into a structured strategy for responsible AI adoption

Semi-circle shadow Utah LSO Logo

The Challenge: AI Alignment for Real Impact

Like many forward-looking public sector organizations, the Utah Office of Legislative Services saw the wave of AI innovation fast approaching. And they recognized the urgency to prepare. 

Staff across its legislative offices were already exploring AI tools like Microsoft Copilot. But without a common roadmap, formal policy, or shared language around risk, innovation remained siloed, and leadership lacked clarity on where to invest. What was at stake wasn’t just compliance, but credibility, momentum, and the opportunity to lead responsibly. 

That’s where KAIP and the ClarityTrack AI framework came in.

Phase 1: A Human-Centered Approach to AI Readiness

Our engagement began with Phase 1 of the ClarityTrack AI Framework: a structured, evidence-based AI Readiness Assessment tailored to the public sector.

Using KAIP’s proprietary AI Maturity Model, we evaluated the Utah Legislature’s organizational readiness across five key domains:

  1. Strategic Vision
  2. Governance
  3. Data
  4. Technology
  5. People & Culture

This phase was a diagnostic process grounded in transparency, collaboration, and strategic insight.

v0.2 AI Maturity Model

A Multilayered Discovery Process 

Unpacking the relationship between people, processes, practices, and AI

Over a six-week period, we engaged the organization through ten complementary discovery activities aligned to the five domains of the maturity model:

AI Awareness Survey

Captured insights from over 80 respondents, representing more than 75% of target staff.

Research included comfort levels, perceived risks, and AI use cases already underway.

Stakeholder Interviews

Conducted 16 in-depth interviews with leadership and operational staff across the House, Senate, Legislative Fiscal Analyst (LFA), Legislative Research and General Counsel (LRGC), Office of the Legislative Auditor General (OLAG), and the Information Technology team.

Surfaced divergent views on readiness, risk, and opportunity.

Cross-Office Workshops

Facilitated a half-day interactive workshop with 30+ participants

Co-identified organizational pain points, policy concerns, and pilot opportunities.

Technical Review

Analyzed 75+ core applications and data systems.

Assessed AI compatibility, modernization status, and integration potential.

 

Policy & Compliance Review

Benchmarked the Utah LSO governance practices against:

  • NIST AI Risk Management Framework
  • NASCIO guidelines
  • State legislation (SB 131 and SB 180)

Workforce & Culture Analysis

Used targeted questioning and behavioral data from the survey to assess:
  • Cultural readiness
  • Risk appetite
  • Change adaptability

Insights from the ClarityTrack AI Assessment Process

This comprehensive approach enabled us to generate domain-specific maturity scores, mapped from Level 1 (“Exploring”) to Level 5 (“Transformative”) using ClarityTrack’s scoring rubric.

ClarityTrack AI Graphics

The findings revealed a nuanced readiness landscape: 

 

Domain 

Maturity Level 

Highlights 

Key Opportunities 

Strategic Vision 

Moderate–High (3–4) 

Active pilots, leadership interest in Copilot use cases 

Build formal AI vision and executive sponsorship 

Governance 

Moderate (3) 

Statutory governance culture, early risk awareness 

Create AI-specific policies or “human-in-the-loop” protocols 

People & Culture 

Emerging (2–3) 

Enthusiastic staff, strong training participation 

Develop formal AI literacy program or skills inventory 

Data 

Moderate (3) 

Structured data for core systems, named data owners 

Update legacy formats, complete metadata and lineage 

Technology 

Emerging–Moderate (2–3) 

Modernization in progress, some early pilots 

Retire technical debt, integrate AI in current upgrade roadmaps 

 

This scoring provided a shared vocabulary for the client to talk about maturity, moving from debating opinions to assessing metrics. And it gave leaders a data-backed way to prioritize actions in Phase 2 and Phase 3. 

Aligning the Utah LSO Team

Phase 1 unlocked alignment across the organization by: 

 

checkmark  Validating staff instincts: that innovation was possible but lacked structure. 

checkmark  Highlighting quick wins: like using Microsoft Copilot in legislative drafting or meeting documentation.

checkmark  Uncovering risks: particularly around governance, metadata standards, and pilot coordination. 

 

As a cornerstone of the ClarityTrack AI process, the Phase 1 Readiness Assessment allowed the team to move into Phase 2 knowing that each recommendation to follow—every policy, pilot, or training session—was grounded in the real operating environment of the Legislature, not abstract assumptions. 

Phase 2: Turning Insight into Opportunity 

With a clear baseline in place, we entered Phase 2: Evaluate Opportunities. Here, the KAIP ClarityTrack AI team applied a three-lens evaluation model, aligning assessment results, strategic priorities, and real-world business opportunities. 

KAIP facilitated co-creation sessions with stakeholders to: 

checkmark-white  Prioritize use cases based on strategic alignment, technical feasibility, and change readiness 

checkmark-white  Identify quick wins (like piloting Microsoft Copilot) 

checkmark-white  Surface long-term enablers (like AI literacy training and governance frameworks) 

Each opportunity was scored using the ClarityTrack AI Alternatives Analysis Matrix, enabling decision-makers to see both value and risk at a glance. 

3-Lens Approach | ClarityTrack AI

Phase 3: From Ideas to Implementation

With a validated maturity baseline and prioritized opportunities in place, KAIP advanced to Phase 3 of the ClarityTrack AI Framework, Architecting the Roadmap. This phase served as the strategic bridge between assessment and action. 

Using the findings from the AI Readiness Assessment and the structured opportunity evaluation process, KAIP designed a phased, sequenced roadmap aligned with:

  • The Legislature’s current AI maturity and workforce capabilities
  • Organizational pain points and priority workflows
  • Compliance requirements and legislative calendar rhythms 

The roadmap provided a structured, time-phased plan with specific activities, owners, dependencies, and sequencing logic. It focused on three implementation stages, built to balance quick wins with foundational investments: 

Foundation & Governance

Stage 1: Foundation & Governance

0–3 Months
  • Purpose: Build the base before scaling the tools. 

  • Focus: Establish the foundation for a governance-first framework that will  guide all pilots, procurement, and training activities. 
Pilot & Enablement

Stage 2: Pilot & Enablement

3–12 Months
  • Purpose: prove value while training people.

  • Focus: Provide early wins that build credibility, while embedding trust and safety into AI usage. 
Scaling & Institutionalization

Stage 3: Scaling & Institutionalization

12–24 Months
  • Purpose: Build internal capacity and normalize responsible AI adoption.

  • Focus: Sustainable internal capability and cross-functional ownership of AI evolution. 

The Roadmap’s Strategic Role 

What set this roadmap apart was the intentional focus on connecting day-to-day operations with long-term transformation.

  • For executives, it offered a clear line of sight from strategic goals to tactical implementation.
  • For technical teams, it addressed sequencing, modernization timing, and tool integration needs.
  • For staff, it outlined where AI would show up in their workflows and what support they could expect.

The roadmap also accounted for:

checkmark  Legislative workload cycles (e.g., avoiding major launches during General Session)

checkmark  Change management pacing, to minimize resistance and build confidence

checkmark  Cross-office coordination, using shared templates, communication plans, and training tracks

What Changed—and Why It Mattered

With Phases 1–3 of ClarityTrack AI complete, the Legislative Services Office has more than a plan. The team has a shared understanding of their AI readiness, risks and opportunities, a strong foundation, and a renewed sense of possibility. 

As they shift into the implementation phase, the Utah LSO does so with: 

  • A scored AI maturity model across five domains 
  • A stakeholder-aligned roadmap with phased implementation activities 
  • Prioritized pilots, including Microsoft Copilot, positioned for launch 
  • Executive and staff buy-in for formal governance and training investments 

Instead of a general sense of potential next-steps, the Utah Office of Legislative Services' AI roadmap is the result of deliberate, values-aligned engagement that moves them from uncertainty to institutional AI readiness. 

The Road Ahead

The next step? Executing on their AI Maturity roadmap.

 

The Legislature now has the structure, trust, and clarity to support Phase 4: Implement AI Solutions.

 

In Phase 4, the Utah LSO has the opportunity to:

  • Deploy targeted pilots
  • Expand internal capacity
  • Embed governance and ethics into every AI initiative

 

ClarityTrack AI Graphics (1)

“I just want to thank you for all of the work you put into the project over the last few months. LSMC was very pleased with the result... You were all a pleasure to work with.” 

~ Ericka Evans

Executive Director | Utah Legislative Services Office

Let’s Talk About What’s Next for You

Let’s Talk About What’s Next for You

If your organization is ready to move from AI intentions to implementation, our ClarityTrack AI framework can get you there—securely, strategically, and sustainably.
Let's Connect!