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How-to

How to build an AI strategy step by step

An eight-step method that turns business goals into a ranked list of AI projects, with owners, a first pilot and a one-page plan you can share.

Updated 5 min read

The short answer

To build an AI strategy, start from business goals, then list your processes and put a cost on each one. Rank them by payback, cover data and governance basics, name owners, pick one first project and decide how you will measure it.

Key points

  • Start from goals, not from tools
  • Rank processes by what they cost you
  • Settle data and governance early
  • Name an owner for every project
  • Fit the whole plan on one page

Step by step

Eight steps from goals to roadmap

Each step produces something you can write down and review.

  1. Set the business goals

    Write two or three targets the plan must serve, such as lower cost per order or faster response times.

  2. Inventory your processes with costs

    List the repetitive work in each team. Record the hours it takes and what those hours cost per year.

  3. Rank projects by payback

    Score each process on yearly cost and effort to fix it. Keep the top few and park the rest.

  4. Check your data

    Confirm the data each top project needs exists, is reachable and is clean enough to use.

  5. Set governance basics

    Decide who approves AI use, what data is off limits and what a person must review every time.

  6. Assign owners

    Give each project one business owner who answers for the result, not only a technical lead.

  7. Launch one first project

    Pick the top-ranked process and build it on your current tools, with a clear before and after.

  8. Measure and update the roadmap

    Compare results with the baseline, then reorder the list and fund the next project.

Side by side

One page strategy outline

Use this as a template for your own page.

CriterionWhat to writeWho owns it
GoalsTwo or three targets with a numberLeadership
Project rankingProcess, yearly cost, effortOperations
Data and governanceSources, limits, review rulesData and risk lead
First projectScope, metric, dateNamed business owner

Why most AI plans stall

Plans that stall

  • Many scattered pilots
  • Tools picked first
  • No owner for results

Plans that ship

  • A few focused projects
  • Goals picked first
  • One owner each

A plan fails less often on technology than on focus. Researchers at MIT's Project NANDA found that only 5% of the enterprise tools they studied reached production.

Boston Consulting Group describes a common cause: companies spread effort across scores of workflows instead of finishing a few end to end.

A strategy fixes this by choosing where to start and where not to.

Start from goals and costs

  1. 01

    Name the goal

    One target the plan must move.

  2. 02

    List processes

    Every repetitive task, by team.

  3. 03

    Cost each one

    Hours times hourly cost.

  4. 04

    Rank by payback

    Biggest saving, smallest effort first.

If you wonder how to develop an AI strategy that leaders will back, tie it to numbers. BCG found that companies getting value set ambitious cost and revenue targets from top management.

Your process inventory gives those targets a base. Hours multiplied by hourly cost shows what each process costs you every year.

BCG also reports that about 70% of AI's potential value sits in core functions such as sales, supply chain and pricing, so look there first.

Cover data and governance early

  • Govern

    Set rules and who approves.

  • Map

    Describe each system and its risks.

  • Measure

    Track accuracy and errors.

  • Manage

    Act on what the tracking shows.

Data comes up in nearly every failed project. A PEX survey of more than 200 professionals found 52% named data quality and availability as their biggest AI adoption challenge.

Governance is the other gap. IBM's study of CEOs found 75% say trusted AI needs effective governance, yet only 39% report good generative AI governance today.

NIST's AI Risk Management Framework offers four plain verbs to start with: govern, map, measure and manage.

Plan for people as well as tools

Plan for

  • A business owner per project
  • Team input before launch
  • Training time in the budget

Avoid

  • Rollouts staff were not told about
  • Projects owned by no one
  • Training left for later

In IBM's study, 64% of leaders said generative AI success hinges more on people adopting it than on the technology.

Name an owner for each project and involve the team that does the work. Pushing a rollout faster than staff are comfortable with is a risk IBM's respondents flagged themselves.

A short training plan belongs in the strategy, next to the budget.

Pick a first project that proves value

First project checklist
  1. Clear yearly cost
  2. Data is reachable
  3. Owner named
  4. Before and after metric

Ready to build

Choose the top-ranked process and keep the scope narrow. A frequent, rules-based task with a clear cost is ideal.

Build it on the tools you already use. The BCG report on AI value also notes that agents already make up 17% of AI value and are expected to reach 29% by 2028.

If you want help turning the ranking into a plan, our AI strategy consulting work covers exactly this.

Turn it into a one-page outline

A strategy people read fits on one page. Keep each block short enough to scan in a minute.

Share it with the owners, then review it every quarter as results come in. For a deeper look at the concepts, see our AI strategy guide.

  • Goals and the metric for each
  • Ranked projects with yearly cost
  • Data and governance rules
  • Owner and next step per project

Our data

What AI answers when buyers ask

We asked ChatGPT, Gemini and Perplexity 10 buyer questions about AI strategy consulting. They named 87 companies, and 80% appeared in only one of the three.

CriterionChatGPTGeminiPerplexity
Companies named392843
Sites cited mostpwc.com (5 of 10)effectivesoft.com and reddit.com (4 of 10)opinosis-analytics.com and improving.com (4 of 10)

Nexum measurement, October 20, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 6 companies appeared in all three. Google showed an AI Overview for 9 of the 10 questions.

FAQ

Questions about building an AI strategy

  • Goals, a costed process list, a payback ranking, data and governance rules, owners, a first project and the metrics to track. Keep it to one page.

  • Follow the same steps, but add a governance group and a shared way to score projects across teams. BCG reports that scattered, disconnected initiatives waste resources, so central ranking matters more as you grow.

  • Rules-based automation handles stable steps, and AI covers steps that need reading or writing. Together they cover more of a process end to end. Our comparison of AI and intelligent automation explains the difference.

  • An intelligent automation strategy lists which processes to automate, in what order, with what tools and controls, and how results are measured. It follows the same ranking by payback as an AI plan.

  • Check four things: clear goals, accessible data, someone to own the result and a process worth fixing. Gaps in data are the most common blocker, so test that first.

  • Plan in detail for the first project and sketch the next two or three. Review the whole list every quarter, because results change the ranking.

  • RAND reports estimates that more than 80% of AI projects fail, about twice the rate of other IT projects. Common causes are unclear goals, poor data and no owner. A focused first project lowers the risk.

  • Record the baseline hours and cost before you build, then compare after launch. Use the savings to fund the next project. Our guide on automation ROI shows how to calculate it.

Related

Keep reading

Final step

Pick a time. Let's talk.

You leave knowing which processes to automate first and what each one costs you today, whether we work together or not.

You can keep paying for manual work, or find out this week exactly what it costs you.

What happens on the call

  1. Before

    You answer 3 quick questions when you book, so we come prepared.

  2. On the call

    We find the manual work that costs you most and put a number on it, live.

  3. Decide

    An honest read on whether we're the right fit. If we're not, you'll hear it on the call.

Once you book, we look at your site and tools before the call, so the 30 minutes go to your numbers, not introductions.

Prefer to write first? Email us directly: contact@nexumautomations.com

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