AI Strategy Service The team

AI Strategy and stack

Your AI spend keeps going up. What do you have to show for it?

An independent review of how your team actually uses AI —
scored against a curated standard of what works,
turned into a prioritized plan.

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  • A scored five-pillar assessment, with detailed gap identification and recommendations.
  • A clear view of what’s in use now, what it costs, and what value you’re getting from it.
  • A prioritized plan to increase impact against your selected goals — including build, buy, fix, or keep strategies tailored to your team and use case.

Already have an internal owner for your AI agenda? Great! They’ll be a key stakeholder for us to work with.
Internal AI owners often sit within a specific department or need support across the breadth of experience required to drive these efforts organization-wide.

The five pillars we assess

Organizations that get real value from AI are strong across five principles. For every pillar, we score performance and identify gaps, leveraging your data against industry references. We show the supporting evidence and provide traceable, verifiable explanations, followed by practical recommendations for what to do next.

01 — Business intent, use cases & desirable outcomes

AI initiatives are tied to real business needs, clear owners, and measurable outcomes. We assess how use cases are selected, prioritized, and revisited to verify that they are solving the right problem and creating value.

What the Review gives you

An evidence-backed answer on how your AI is paying off, and a suggested plan for how to improve and stay on track.

The Review includes the assessment and recommendations. Implementation is optional and priced separately.

Part 1 — the anchor

The Review

The fullest picture your data allows, assessed against the five pillars and backed by evidence you can verify — including the tools no one approved.

Part 2 Included in the Review

The Recommendations

Every gap ranked and marked build, buy, fix, or keep — with the scores and a three-year cost comparison where it matters, plus a recommended owner and cadence so the plan sticks.

The findings and recommendations are yours to act on with your team, a partner you choose, or us.

Part 3 — optional

The Fix

When you want support carrying the plan through, we lead the implementation — whether that means deploying a selected tool, building internally, or consolidating what you already run — with one accountable delivery lead from decision to rollout.

Independent by design

We provide the truth about your AI strategy and stack. This is what guides our work, with four principles designed to keep it that way.

Pricing

A known fee, agreed before the work begins

Set upfront based on scope, regardless of the recommendations made. Never a cut of what you spend or save.

Referral fees

Our vendor arrangements don't pick your tools

We maintain transparent referral and partnership agreements. None are exclusive, and some partners compete with one another. A recommendation may include a partner or a provider we have no arrangement with; we disclose any relevant relationship before you decide.

The honest answers

"Keep what you have" and "build it yourself" are real outcomes

We recommend both often.

Market vetting

We've vetted the market hands-on

Every tool on our shortlist we've evaluated hands-on. Where it matters, we'll run a proof of concept together with you before you commit. We track the market continuously.

Review scores are neutral and client-verifiable. Tool recommendations are a separate, clearly marked part of the work.

Who you’ll be working with

Two complementary perspectives on the same challenge: what your AI ecosystem needs,
and how to turn it into measurable organizational value.

Inbal Gilead
Inbal Gilead LinkedIn

Product Strategy & Organizational Execution

Helps leadership teams turn ambiguous AI initiatives into clear goals, focused priorities, and measurable value — then leads the practical, cross-functional workflow changes needed to make them stick.

Mor Nitzan
Mor Nitzan LinkedIn

Data & AI Ecosystem Expertise

Helps leadership teams navigate the evolving data and AI landscape — evaluating tools, strengthening organizational practices, and leading fit-for-purpose solutions from assessment through implementation.

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Ready to get more value from AI?

Tell us what is already in motion, where the uncertainty sits, and what outcomes matter. We’ll review the context and invite you to a focused working session to explore what a Review could cover, who should be involved, and what working together might look like.

Share a little context so we can make the first conversation useful.

We’ll use this information only to review your request and suggest a useful next step.