Are you actually ready for AI?
A focused one-week review of your data, infrastructure, security posture, and organizational readiness — ending in a scorecard across five dimensions, a gap list rated by severity and effort, and a remediation plan. An honest answer, before you spend on the wrong thing.
“We need AI” is a goal. Readiness is the question.
Most failed AI projects didn't fail at the model. They failed because the data wasn't accessible, the infrastructure couldn't serve it, the security posture couldn't hold it, or no one owned the outcome — and nobody checked first. The AI Readiness Assessment is one focused week that answers the question honestly: where are you ready, where are the gaps, and what's the highest-value, lowest-risk first move? You leave with a scorecard a board can read and a remediation plan your team can act on — not another deck about why AI matters.
Before you commit to AI, check the ground.
A one-week assessment for the decision that's about to get expensive.
- 01
The board is asking "are we ready for AI?"
A scorecard across five dimensions — a clear answer, not a feeling.
- 02
A previous AI pilot quietly failed
We separate the fixable from the fundamental, so the next attempt lands.
- 03
You're about to buy or build AI
An honest readiness check before the budget is committed.
- 04
Nobody's sure if the data is good enough
A real audit of data, infra, and security — with the gaps named.
Four artifacts you can act on.
Written to be used — by your engineers, your leadership, and your board.
- 01
Readiness scorecard
A rating across five dimensions — data, infrastructure, security, organization, use-case clarity — with the reasoning behind each.
- 02
Gap list (severity + effort)
Every gap that stands between you and a successful AI project, rated so you know what to fix first and what it costs.
- 03
Remediation plan
A prioritized, practical plan to close the gaps — sequenced by impact, written for your team to execute.
- 04
Leadership presentation
A clear walkthrough that turns the findings into a decision the board and the budget-holder can both act on.
Five dimensions decide whether AI works for you.
Data
Is it accessible, clean, connected, and rich enough for the use cases you care about?
Infrastructure
Can your systems run, serve, and scale models — and integrate them where the work happens?
Security
Can you handle the data AI would touch, with the access controls and compliance to match?
Organization
Are the skills, ownership, and appetite there to adopt and sustain what gets built?
Use cases
Are the candidate projects clear, valuable, and feasible — or vague and over-scoped?
Strong in some, weak in others — almost everyone is. The value is knowing exactly which, so effort goes where it actually unblocks AI.
An honest read, not a sales pitch.
Where you're ready, where you're not, and what to fix first.
One week, start to clear answer.
Interviews
We talk to the people who own the data, run the infrastructure, hold security, and would sponsor an AI initiative.
Data & infra audit
We assess what your data and systems can actually support — accessibility, quality, integration, and the security posture around them.
Gap analysis
We score the five dimensions, rate every gap by severity and effort, and shape the remediation plan.
Presentation
We walk leadership through the scorecard, the gaps, and the recommended first move — and hand everything over.
An assessment that always says “yes” isn't one.
Vendor-neutral
The only job is the truth about your readiness — not steering you into a build we'd sell.
Evidence-based
Grounded in interviews and a real audit of your data, systems, and security — not assumptions.
Willing to say "not yet"
If the foundation isn't there, we say so — and tell you exactly what to fix first.
Actionable
Every finding maps to a gap, a severity, an effort, and a next step your team can take.
When “are we ready?” needs a real answer.
Boards asking "are we ready for AI?"
You need a clear, defensible answer across data, infra, security, and organization — not optimism.
Teams burned by a failed AI pilot
Something went wrong last time; this finds out what, and whether the next attempt can succeed.
Companies preparing an AI procurement
Before you sign, know whether you can actually run, secure, and adopt what you're about to buy.
The things leaders ask first.
Know where you stand before you build.
Tell us whether AI is a board question, a stalled pilot, or an upcoming purchase. In one week we'll assess your data, infrastructure, security, and organization, and hand you a scorecard, a gap list, and a plan you can act on.