ENTRY ENGAGEMENT

ENTRY ENGAGEMENT

Data & Applied AI Readiness Assessment

Data & Applied AI Readiness Assessment

Get clarity before investing in data platforms or applied AI.

Get clarity before investing in data platforms or applied AI.

2–3 weeks • Fixed Scope · Senior-led

2–3 Weeks • Fixed Scope · Senior-led

2–3 Weeks • Fixed Scope · Senior-led

Why Teams Start Here

We're often called in after an AI initiative has stalled. The issue is almost never the model — it's that nobody trusts the data underneath.

If leadership can't explain how a number was produced, they won't act on it. Doesn't matter how sophisticated the model is.

This isn't an AI sales pitch or platform recommendation. It's diagnostic work. The goal is knowing where you actually stand.

When this makes sense

Leadership doesn't trust the reports they're seeing

Data exists across multiple systems with no single source of truth

AI is being discussed but nobody's sure if you're ready

Compliance or governance concerns need sorting before you scale

Leadership doesn't trust the reports they're seeing

Data exists across multiple systems with no single source of truth

AI is being discussed but nobody's sure if you're ready

Compliance or governance concerns need sorting before you scale

Leadership doesn't trust the reports they're seeing

Data exists across multiple systems with no single source of truth

AI is being discussed but nobody's sure if you're ready

Compliance or governance concerns need sorting before you scale

When We’ll Tell You Not to Do AI

When We’ll Tell You Not to Do AI

When We’ll Tell You Not to Do AI

If governance isn't clear, if nobody owns the data, or if incentives aren't aligned — AI will cause more problems than it solves.

AI built on bad data doesn't give you bad insights. It gives you confident bad insights. That's worse.

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What We Dig Into

What We Dig Into

Data architecture and whether it actually supports decision-making

Data architecture and whether it actually supports decision-making

Governance maturity — who owns what, how decisions get made

Governance maturity — who owns what, how decisions get made

Why people aren't trusting the dashboards

Why people aren't trusting the dashboards

AI readiness — not "can we build it" but "should we, and will it stick?"

AI readiness — not "can we build it" but "should we, and will it stick?"

How it Works

How it Works

2-3 Weeks Duration

2-3 Weeks Duration

Fixed Scope

Fixed Scope

Senior Led Delivery

Senior Led Delivery

What you get

Data maturity scorecard

Data maturity scorecard

Data maturity scorecard

Where you actually stand, not where you think

Prioritized AI opportunities

Prioritized AI opportunities

Prioritized AI opportunities

With business context, not just technical feasibility

Implementation roadmap

Implementation roadmap

Implementation roadmap

Where you need to get

In regulated teams, trust usually breaks before data quality does. We've learned to look for both.

In regulated teams, trust usually breaks before data quality does. We've learned to look for both.

In regulated teams, trust usually breaks before data quality does. We've learned to look for both.

This Probably isn’t right if...

You've committed to a platform and need implementation help

You've committed to a platform and need implementation help

You've committed to a platform and need implementation help

The bottleneck is data engineering capacity, not strategy

The bottleneck is data engineering capacity, not strategy

The bottleneck is data engineering capacity, not strategy

You want a proof-of-concept build — this is diagnostic, not delivery

You want a proof-of-concept build — this is diagnostic, not delivery

You want a proof-of-concept build — this is diagnostic, not delivery

We'd rather figure this out in a 30-minute call than halfway through.