Foundation:
Comprehensive AI RI Readiness Assessment & Diagnotsic

Foundation: What You'll Walk Away With
This is where every THG engagement begins. Our Foundation Diagnostic applies the ATLAS framework, our proprietary five-pillar assessment, to give you an honest, clear-eyed picture of whether your organization is actually ready to pursue AI before you invest in tools, make promises to your board, or create confusion among your team.
We evaluate you across all five ATLAS pillars: Leadership Alignment, Governance, Workforce Readiness, Change Capacity, and Process Maturity. You will see exactly where you are strong, where the gaps are, and what needs to be addressed first.
No guesswork, no assumptions. Just the truth about where you stand and a prioritized roadmap for what comes next.
ATLAS evaluates your organization across five diagnostic pillars:
Pillar One: Leadership Alignment & Strategic Clarity
Pillar Two: Governance & Decision Structure
This is where it all starts. Is there a clear shared purpose for AI? Do leaders agree on what success looks like? AI initiatives fail when leaders are not all on the same page.
Ownership clarity. Are decision rights defined? Who approves pilots? Who owns risk? Are ethical guardrails in place?
Pillar 3: Workforce Impact & Organizational Readiness
Workforce impact. Do leaders understand how work will change? Are employee concerns anticipated? Are skills gaps acknowledged?
Pillar 4: Change Capacity & Execution Discipline
Change is disruptive. How well does your organization handle change? Is change fatigue present? Are managers equipped to lead through transition?
Pillar 5: Structure & Process Maturity
The way things are done. Are workflow documented? Are processes consistent? Is data ownership understood?
You may benefit from this if:
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You're curious about AI but don't know where to begin.
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You need help understanding exactly how AI can help your organization.
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Your leadership team requires consensus on the AI strategy.
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Your workforce needs readiness before any tools are launched
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You want to sidestep costly errors before committing to technology.
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You seek a clear roadmap but aren't yet prepared for implementation.
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You are utilizing AI but aren't achieving desired outcomes.

