The State of AI Transformation at Work – AI is being deployed. Employees aren't being enabled.
Navigating AI Transformation: The IT Leader’s Blueprint to Success
Download the guide and discover how to eliminate shadow AI, consolidate software, and drive adoption.


Corinne Claypool
Senior AI Product Manager at Workvivo

Dafna Arad
External Contributor - Internal Communications Expert
Modern IT executives face immense pressure to deploy AI, but layering advanced technology on top of a fragmented software environment creates huge operational and security risks.
To help IT leaders successfully navigate these challenges, we’ve released a strategic guide: The IT Leader’s Blueprint to AI Transformation: Aligning Infrastructure, Governance, and Employee Adoption.
Why this guide is essential for IT leaders
Deploying AI without fixing underlying structural issues only amplifies existing inefficiencies. This guide offers an operational map designed to help technology executives solve two core crises: tool fragmentation and the platform adoption gap.
By focusing on permission-aware environments, IT leaders can eliminate shadow AI, ensure data security, and turn AI hype into sustainable corporate value.
What you’ll find inside
The guide outlines a step-by-step framework structured around three foundational pillars:
1. Building a safe foundation for AI transformation
- Managing shadow AI and data exposure: Learn why employees bypass formal tools and how unvetted AI tools create immediate risk.
- Solving the “blindfolded librarian” problem: Discover how to fix siloed knowledge and permission issues that lead to AI hallucinations and data leaks.
- Readiness metrics: Evaluate your environment using six critical metrics, including data traceability and centralized knowledge systems.
2. Solving the architecture problem of tool fragmentation
- Tackling the “Franken-stack”: Understand how disconnected point solutions lead to low productivity, unmapped software sprawl, and parallel informal workarounds.
- Consolidation strategies: Learn how to consolidate tools effectively without sacrificing essential user features or compromising access controls.
3. Overcoming the platform adoption gap
- Understanding adoption failures: Explore why 70% of digital transformation initiatives fail and why mandatory training cannot fix a design flaw.
- The math of the workaround: Analyze how every extra click or login encourages risky employee workarounds.
- Adoption diagnostic: Identify five major indicators of adoption issues within your organization.
The strategic execution roadmap
A 7-step roadmap divided into three actionable phases:
- Phase 1 (Foundation Cleanse): Audit shadow AI, consolidate knowledge, and fix permission drift.
- Phase 2 (Unified Architectural Deployment): Establish a single governed home base and mandate data traceability.
- Phase 3 (Managed Adoption Scale): Engage skeptics in pilot groups and track objective behavioral metrics over sentiment.
Download the blueprint today
To build a secure, permission-aware foundation that your workforce will actually adopt, download The IT Leader’s Blueprint to AI Transformation today.
Authors:

Corinne Claypool
Senior AI Product Manager at Workvivo

Dafna Arad
External Contributor - Internal Communications Expert
