Strategy

Decide what to build, in what order, and why.

A plan for data and AI that your finance team can fund, your engineers can build, and your leadership can hold to account.

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The problem

Most organizations have more data and AI ideas than they can fund. Roadmaps get written around technology instead of business outcomes. Pilots get approved but never reach production. Leadership is asked to back a plan that nobody can connect to revenue, cost, or risk.

What we do

We start with the business decisions you need to make better. We work backward from those to the data, systems, and skills required. The result is a sequenced plan with a business case for each step, and a clear view of what to stop doing.

What we deliver

What you get.

The outcome

A funded plan where every initiative is tied to a business outcome.

  • Data and AI strategy and multi-year roadmap
  • Use-case identification, prioritization, and business cases
  • Target architecture and build, buy, or partner decisions
  • Operating model, roles, and ownership for data and AI
  • Briefings for executives and boards on AI readiness and risk
When to call us

Signs this is the right service.

  • You have more data and AI ideas than budget, and no agreed way to choose between them.
  • Pilots get approved but rarely reach production.
  • Leadership or the board is asking what the AI plan is.
  • Nobody can connect current data spending to a business result.
Accelerators

What we bring to this work.

Templates, code, tests, and documents we adapt to your data and systems, so the work starts on your problem. What we adapt for you is yours to keep.

Data Readiness Assessment

Check whether your data can support a decision before you fund the work.

  • Profiling and lineage review of the sources in scope
  • A draft Decision Brief for the use case
  • A list of gaps, ranked by effort and by effect on the decision
  • A plan for the first build increment
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AI Governance Starter

Policies, templates, and workflows to govern how your organization uses AI.

  • AI policy and acceptable-use standards
  • Risk assessment workflow and model and agent inventory
  • Evaluation Card and Control Register templates
  • Evidence packs for auditors, customers, and security questionnaires
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How it starts

The first step.

We start with a working session with the leaders who own the decisions that matter most. We list the candidate uses of data and AI, check the data behind the most promising ones, and come back with a sequenced plan and a business case for the first step.

Every engagement runs on GIST: Ground, Iterate, Ship, Trust.

How we work

See what the first step would be.

Tell us the business decision you want to improve. We will tell you what the first step would be and whether we are the right fit.

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