Are you really ready for enterprise AI?
A hard-hitting look at AI readiness (and a self-diagnostic to prove it)
Jonathan Chen
Managing Director, AI Strategy
Why enterprise AI readiness is the conversation everyone is avoiding
We asked the group at one of our recent executive dinners: “How many of you had board pressure last year to explore AI?” Every single hand went up.
Then we asked: “How many feel your board would be happy with the progress you’ve made in AI so far?” All but two hands dropped.
That 60-second interaction says everything about where enterprise AI stands today: the ambition is sky-high, but actual readiness is lagging dangerously behind.
Your board and the business are setting bold expectations. Tech teams are doing their best to make sense of the noise amidst a mountain of tech and process debt. Meanwhile, security, compliance, risk, and governance are just trying to keep up without appropriate executive attention.
The pattern we see: Enterprise AI unreadiness
Across industries, we’re seeing a common pattern: AI energy is high, but the org isn’t aligned enough to actually capture value.
This is how it most commonly shows up:
- You either don’t have a strategy, or you’re learning that it’s incomplete; you thought you had a strategy but you keep running into things you hadn’t thought about
- The couple of pilots you did manage to launch feel severely anticlimactic; everyone’s busy, but why isn’t anybody using it? Why aren’t we getting that multiplicative ROI that we were sold?
- You got excited about pushing forward with a transformative new technology, but you feel your old friends data quality, risk / legal, and security are creeping back in to “slow you down”
And it all gets tangled in a complex web of old roadmaps, risk assessments, security reviews, and stakeholder sign-offs.
To be clear, these aren’t tech problems, governance problems, or business problems. We call this enterprise AI unreadiness.
AI Strategy webinar
AI Readiness Self-Diagnostic: 8 signals you’re not ready to scale AI (yet)
Use this quick diagnostic to take stock of your enterprise readiness. If 4 or more sound painfully familiar, it’s time for a strategic intervention:
1. “We have 100+ AI things to work on, but we don’t have enough conviction about where to spend our time and budget”
2. “The pilot took weeks with great results, but for some reason it’s been months without a launch yet”
3. “The expected impact of this use case wasn’t clear when it was scoped, and now I’m not sure how to measure value”
4. “We’re building something… and just found another internal team trying to buy the same thing from a vendor”
5. “We’re excited about this AI program, but our roadmap and backlog were already locked-in last May”
6. “It feels like it crosses hundreds of hands – legal, compliance, risk, and security – before anything gets launched”
7. “Our talent desperately wants AI tools, but there are too many vendors promising too many things and we’re not sure how to navigate the vendor jungle”
8. “There’s too much data migration and cleanup work ahead of us – AI feels out of reach right now”
If you nodded at four or more of these, your organization is not as ready as you think for enterprise AI movement, but you’re by far not alone. It just may be time for an honest look at what’s real and how to move forward.
Why you need a strategic AI readiness review
Our suggestion is to dedicate the time and attention for a focused look at AI readiness at the exec level:
- What AI work is already happening across the org (officially and unofficially)?
- Where are you truly running into friction?
- What is worth working on, investing in, and scaling, for AI to give the returns you were sold?
This exercise creates shared language, defuses internal tension, and clears the path for smart bets with all the critical stakeholders that need to work together for enterprise AI momentum.
Check out our related guide on barriers to scaling enterprise AI or watch the webinar on Executing AI Strategy
AI Readiness Sprint for executive teams
We’ve developed a focused AI Readiness Diagnostic Sprint, designed for enterprise leadership teams wrestling with how to move forward confidently.
It’s a strategic deep-dive across your people, data, governance, decision rights, and delivery muscle.
We’ve helped Fortune 500 companies:
- Pressure test assumptions
- Align roadmaps
- Accelerate go/no-go clarity on AI investments
If you’re wrestling with what AI means for your org and what’s actually worth doing, let’s talk.
AI Readiness Sprint for exec teams
Pressure test assumptions, align AI roadmaps, and accelerate go/no-go clarity on AI investments.
Managing Director, AI Strategy
Jon brings a unique trifecta of experience in enterprise, startup, and consulting, paired with a sharp strategic mind and the grit to execute. Jon leads our AI strategy practice in the US with a clear mission to help leading businesses turn AI ambition into real, scalable capability and getting to outcomes that you can hang your hat on. With a track record of shaping and driving AI transformation at companies like Cigna and Northwestern Mutual, Jon knows what it takes to scale AI.
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