AI Advisory
Senior guidance for leaders who need to decide where AI belongs in their organization and where it doesn’t.
This work is for moments when leaders need clarity, not acceleration.
It’s used when questions like these reach the leadership level:
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What should we actually build?
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What’s worth automating and what isn’t?
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Where are we taking real risk without realizing it?
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How do we move forward without creating long-term mess?
This work is about making the right decisions before execution begins.
How We Work
We work directly with senior leaders to bring clarity to complex, high-stakes AI decisions.
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AI strategy and roadmap design
Defining where AI should - and should not - be applied, sequencing initiatives realistically, and aligning them to business priorities. -
AI solution and agent design
Designing and, when appropriate, building custom bots, GPTs, and decision-support tools to test concepts, prove feasibility, or support leadership workflows. -
Governance, policy, and risk guidance
Establishing guardrails around security, privacy, data use, and responsible deployment before problems surface. -
Organizational and process-level capability assessment
Evaluating readiness across teams, roles, and workflows, including how AI changes expectations in areas like recruiting and talent assessment. -
Adoption and change impact evaluation
Identifying where AI will create friction, require new skills, or alter decision rights so that adoption becomes deliberate rather than accidental. -
Ongoing executive advisory
Supporting leadership teams through AI advisory councils, decision reviews, and evolving governance as AI use matures.
This is not vendor-led implementation or tool-first experimentation. It is senior judgment applied across strategy, risk, systems, and people.
What This Is Not
AI Advisory is not delivery-for-you.
We are not here to quietly build something in the background.
We are here to help you:
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Decide what should exist
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Understand the implications of those decisions
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Equip your organization to move forward deliberately
Execution typically follows either internally, with partners, or through our other services.
When Organizations Use AI Advisory
Organizations engage us when:
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AI questions are starting to surface at the leadership level
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There is pressure to “do something,” but no shared clarity on what
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Teams are experimenting without a coherent direction
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Risk, governance, or long-term impact are becoming real concerns
This work prevents false starts, wasted effort, and downstream cleanup.