A structured diagnostic for technology leaders who need an honest read of whether the organization is set up to run AI at scale — before committing to a direction – built by advisors who’ve implemented AI in enterprise environments, not sold it.
Every executive team is pushing the same question forward: what’s our AI strategy? The pressure to commit is already here. The board wants direction. Vendors are circling with platforms that solve problems you haven’t scoped yet.
Most maturity models assume consistency. The real story is usually in the imbalances. Strong data function with weak governance is a different problem than a flat mid-band profile.
What you will receive
A structured read across nine dimensions: strategy, data, talent, governance, infrastructure, use case selection, operating model, risk, and adoption. Where you can move now. Where you’re emerging. Where you’re behind.
The dimension pairs that don’t add up. A strong data function with weak governance is a different problem than a flat mid-band profile. We name which imbalances will block your roadmap and what each costs.
The capabilities your current AI plan assumes, mapped against what’s actually in place. Where the plan is supported. Where it isn’t.
We launch an AI Readiness Diagnostic. The output is a clear picture of where you are, where your peers are, and where investment creates the highest leverage.
We identify 50–100 AI use cases across your organization and score each one by business value, implementation feasibility, and risk. Quick wins are separated from strategic bets. The use cases that look exciting but can’t be supported by your current data or talent infrastructure get flagged before they consume budget.
Governance framework design. Operating model recommendations. Technology architecture gap analysis. Talent and skill planning. Change management approach. This is the structural work that determines whether AI initiatives scale or stall — and it’s the part most organizations skip on the way to their next pilot.
A phased 12–18 month implementation plan. Investment business case. Board-ready narrative. Success metrics definition. Governance playbook. Everything your board needs to approve and track the AI agenda — in their language, not yours.
Our advisors are former CISOs and senior security operators. They’ve made the same calls you’re being asked to make now.
Most conversations start with the same question — “We’re doing AI, but we can’t tell you if it’s actually working.” If that sounds familiar, a 20-minute conversation with one of our advisors will give you a clear sense of whether a structured assessment would change the trajectory. No pitch. No vendor agenda. Just an honest read from someone who’s built AI programs inside organizations like yours.
