By Gerard Pietrykiewicz and Achim Klor
Achim is a fractional CMO who helps B2B GTM teams with brand-building and AI adoption. Gerard is a seasoned project manager and executive coach helping teams deliver software that actually works.
If your AI plan does not start with a real business problem, it’s a hobby.
Write one page that says:
Then turn it into an OKR, so it survives meetings, churn, and Q2 priorities.
Someone says, “We need an AI strategy.”
Two weeks later you have:
That’s a common pattern.
This article is a follow-up to One-Page AI Strategy Template: Replace Roadmaps With Clarity, where we argued that your AI strategy should fit on one page.
This article shows you how to write it, then turn it into an OKR, then run it for 12 months without it turning into another forgotten “playbook” in your drawer.
Open a doc and answer the following four questions.
A strategy has to earn its keep.
Prompt:
Example:
If your diagnosis starts with “We want to use AI,” you’re already off course. AI is not a replacement plan. It’s an outsourcing plan for the first draft.
This section stops chaos.
You need two things:
AI helps you solve the problem. It does not solve it for you. It does not own the decision.
If you want a practical risk anchor, OWASP’s LLM Top 10 maps well to what breaks in real deployments (prompt injection, insecure integrations, unsafe output handling).
And if leadership wants a governance reference, NIST AI RMF and the GenAI profile give you a credible backbone without turning this into a policy manual.
Pick one metric that proves the policy worked.
Target:
Example:
Now add no-cheating metrics:
If those get worse, your “wins” are fake.
List the next 2–3 actions for the next 90 days.
Example:
If your first step is “create a committee,” you’re writing a plan to feel safe, not to get results.
This is where it becomes operational.
Google’s OKR guidance keeps it simple:
Objective
Your Primary focus becomes the Objective. Human. Clear. Directional. For example: “Use AI to reduce support load so our agents can solve customers’ hardest problems.”
Key Results
Your Target becomes the KR. Numeric. Time-bound. Auditable. For example: “Resolve 50% of incoming support tickets via approved AI by end of Q3, with 90% CSAT.”
Now each team can set supporting KRs that fit their world, but everyone works against the same top-level definition of success.
Here’s a 12-month timeline with five swimlanes. This cadence keeps your AI outsourcing plan alive after kickoff.
AI adoption fails because of a lack of planning and discipline.
People can’t connect it to a problem they actually own.
As we already covered in the previous article, one page fixes that.
An OKR keeps it alive.
A calendar makes it stick.
AI does not replace accountability. It exposes whether you have any.
If you like this co-authored content, here are some more ways we can help:
Cheers!
This article is AC-A and published on LinkedIn. Join the conversation!
