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KeenSight Analytics

Executive AI Advisory

Make the AI decisions that deserve leadership attention

Get an independent perspective on AI ambition, investment, ownership, and pace. KeenSight helps leaders frame consequential questions and connect their decisions to the technology, people, and operating changes required to act.

You may be preparing for a board discussion, evaluating a major investment, or deciding what AI should mean for the business. Advisory creates space to examine the alternatives, understand the implications, and establish a direction your leadership team can explain and support.

The starting point is the decision in front of you. We bring business, technical, and implementation considerations into that conversation so the direction remains connected to what the organization can do next.

When an independent perspective helps

An executive team can receive several reasonable recommendations that point in different directions. A vendor emphasizes its platform. A functional leader sees an immediate opportunity. Technology teams consider the existing estate. Finance asks where value will appear and what commitment is justified.

The leadership task is to connect those perspectives. Which question is strategic? Which commitment could constrain later choices? What should be decided now, and what can be learned through a smaller initiative?

An independent view is useful when the team needs to examine those questions without starting from a preferred technology or a predetermined program. It can also help when an existing initiative has progressed far enough that its business purpose, ownership, or next investment needs to be reconsidered.

The work may begin around an executive offsite, a planning cycle, an acquisition-related question, or a proposed vendor agreement. In each case, the discussion should produce greater clarity about the decision, the information that matters, and the responsibilities that follow.

Questions worth bringing to the table

Where should AI change the business?

Identify the outcomes that deserve executive attention. That might be a stronger customer proposition, more effective commercial decisions, better use of capacity, or a different way to deliver a service. Describe what would change and why the change matters to the business.

Which advantages should we strengthen?

Consider where proprietary knowledge, customer relationships, data, distribution, and operating experience could become more valuable with AI. Examine which capabilities need to be owned and which can be obtained through existing tools or partners.

What level of commitment is justified?

Separate the investment required to learn from the investment required to scale. Decide what information would support further commitment and which assumptions need to be tested before a larger decision.

Who will own the outcome?

Sponsorship should connect to the people responsible for the work after it changes. Identify the business owner, the technology contribution, and the managers who will support adoption and ongoing performance.

Which decisions must remain with people?

Clarify where the organization needs human judgment, approval, or escalation. The answer influences the operating model, the system design, and the experience of the people using it.

How quickly should we move?

Consider the opportunity, the cost of waiting, and the organization’s capacity to act. A useful pace allows learning to influence investment while keeping attention on the business objective.

What should leadership review over time?

Decide how progress will be discussed. A review should connect changes in the work to operational or financial measures, important assumptions, and the next decision leadership needs to make.

Connect the business question to implementation

A strategic recommendation becomes more useful when its implications are understood. Choosing a new customer experience may require access to information held across systems. Expanding an employee assistant may introduce new review practices. A decision to build a capability may create operating responsibilities that continue long after the initial implementation.

KeenSight brings those implications into executive discussion. We consider how a business objective translates into a workflow, what technology would need to support it, and how the organization would use and manage the result.

That perspective helps distinguish different kinds of uncertainty. Some questions need better information about the market or available capabilities. Others require agreement on ownership, priorities, or acceptable tradeoffs. Still others can be answered through a bounded piece of implementation work.

The discussion should make those differences explicit. Leadership can then decide which questions require executive judgment, which belong with specialists, and which should become a practical test. This creates a clearer relationship between the decision made in the room and the work that follows it.

An agenda for leadership decisions

Our Executive AI Decision Agenda organizes the conversation around six domains. It is a working framework for leadership judgment, adapted to the decisions your organization is facing.

Scroll horizontally to see all columns.

Domain Information leadership needs Decision to establish
Enterprise value Intended outcome, value mechanism, baseline, and investment assumptions What deserves sponsorship and further commitment
Competitive position Customer needs, existing advantages, and plausible changes in the market Where to defend, extend, or develop an advantage
Technology posture Sourcing options, data requirements, integration, and switching implications Which commitments belong in the strategic direction
Organization Business ownership, capability, incentives, and work affected Who will lead and support the change
Accountability Human authority, review responsibilities, and operating expectations How decisions and outcomes will be governed
Execution pace Dependencies, available capacity, and the questions that need testing What happens next and what leadership reviews

Capital allocation belongs in the value discussion. A major vendor commitment belongs in the technology discussion. Both should be considered alongside the organizational and operating implications they create.

The agenda can also expose where a question is being discussed at the wrong level. Leadership may need to authorize a direction while a specialist team compares platform options. Making that boundary explicit helps each group contribute where its judgment is most useful.

Advisory shaped around the decision

Executive and board briefings

A briefing establishes a shared perspective on a defined set of AI questions. It can support an upcoming discussion, introduce the implications of a changing capability, or help leaders distinguish strategic choices from implementation detail.

The emphasis is on relevance to the business: what the development could change, which questions deserve attention, and what further information would improve the decision. A briefing can stand on its own or establish the basis for more focused work.

Focused strategy engagements

Some decisions require a closer examination of alternatives. A major investment, a strategic workflow, or a platform commitment may involve business, technical, and organizational considerations that need to be considered together.

Focused strategy work creates a structure for that examination. The scope follows the question: clarify the business objective, assess the important options, identify dependencies, and establish the decision and ownership required to proceed.

Ongoing advisory

An ongoing relationship provides continuity as an AI agenda develops. New information can change priorities. Implementation can reveal a different opportunity. Leadership may need an independent perspective on whether to expand, adjust, or pause a commitment.

The value of continuity is a shared understanding of the organization’s direction and previous decisions. Each discussion can build on that context while remaining responsive to what the work is revealing.

Across these formats, the objective is a useful decision and a clear connection to action. The engagement should fit the question, the people involved, and the information available.

A leadership choice in practice

Walmart’s account of Trend-to-Product connects an identified business opportunity with a named executive sponsor and a workflow used by designers and merchants. The company identifies Andrea Albright as the earliest executive sponsor. It provides a concrete example of leadership attention connecting to how work is performed. Walmart’s April 2025 account.

For your organization, the useful question is which business opportunity deserves that kind of connection: a clear purpose, accountable sponsorship, and an operating path. The answer depends on your circumstances rather than another company’s scale or investment level.

A strategic initiative already under consideration?

Bring the situation and the decision you need to make. You might be evaluating a significant AI investment, considering a vendor commitment, examining an acquisition-related opportunity, or preparing to redesign an important workflow.

Helpful context includes the business objective, the alternatives already considered, the people involved, and any deadline influencing the decision. If the team disagrees about the objective or does not yet have enough information, that is useful context too.

The conversation can help distinguish what is known, what remains uncertain, and which questions warrant deeper work. It should also identify the implications of proceeding, including the specialist or implementation decisions that follow.

You do not need a finished strategy document to begin. A consequential question and an honest description of the situation are a practical starting point.

Bring the question forward

What does your leadership team need to understand or decide about AI? Bring the issue, the alternatives you are weighing, and the outcome you want the discussion to support.

We can begin with the decision itself and connect it to the information, people, and practical work needed to move forward.