What actually goes into an AI strategy

What an AI strategy does

Your AI strategy connects a business goal to practical choices: which work to improve, who owns it, what to invest and how to judge the result. It also says what will wait. Start with one page, then build on what you learn.

Choose a business goal

Choose a result that matters now: faster customer onboarding, fewer mistakes, more capacity or a new service. For this guide, imagine a small agency whose owner wants new projects to start sooner without spending every evening chasing details.

Ask the owner and anyone involved to walk through a recent case. What starts the work? Which emails, documents and tools do they use? Where do they wait, copy information or make a judgement? Include an awkward case, not just the easy one.

The agency example

AI might turn scattered customer emails into an onboarding checklist and a draft request for missing details. A standard form or an existing software feature might solve part of it more simply. Compare those options first.

Choose what to work on

What AI work is already happening? Ask your team about tools, experiments and everyday use. Put these alongside new ideas in one shared list.

For each idea, note the recurring task, who does it, how often it happens, the expected benefit, likely cost and next decision date.

Keep what works and combine duplicate efforts. If an existing workflow already has reliable evidence of benefit, assess expansion rather than repeating its pilot. Give promising experiments a clear test; stop work that no longer helps.

Choose what comes first

Ask two questions: Would this make a worthwhile difference (impact)? Do we have what we need to try it (Readiness)?

Impact: a worthwhile difference to a current goal, such as time, quality, capacity or growth.

Readiness: usable information, a clear measurable process, a willing accountable owner, permissions and the ability to run and support the solution.

Cheap does not always mean ready. Label estimates, then place each idea in the grid:

• Prepare first: High impact, not ready. Fix the gaps first.
• Start here: High impact, ready. Test it on a small scale.
• Set aside: Low impact, not ready. Focus elsewhere.
• Small improvements: Low impact, ready. Keep it quick and low-cost.

Among meaningful, ready projects, choose the first by likelihood of success, then expected return. Look for a willing user, clear task, few dependencies and manageable consequences. The agency owner's checklist is easier to test safely than sending promises to customers. A useful early result builds confidence for harder work.

Run inexpensive small improvements alongside the main priority, such as an approved tool's meeting summary or reusable email template. Check accuracy and usefulness, then keep or drop it. Track these small benefits separately; they do not prove progress against a strategic business target.

Name the owner and limits

Name the person accountable for the result and the person who will use it. They may both be the owner. Budget for setup, software, checking, training and ongoing support, including the team's time.

Agree which information AI may see, where it is processed and stored, and who can access it. Use fictional examples until permissions are ready. In the agency example, AI drafts the checklist with links to the source emails; the owner checks it before anything reaches the customer.

Test what changes

Choose measures that match the purpose of your test:

Learn. Resolve one uncertainty within a fixed time and budget. Can AI identify missing onboarding information from the emails? Test ordinary cases and incomplete or contradictory ones.

Improve existing work. Measure today's preparation time, then compare it with AI-assisted work, including checking and corrections. Track missed details and how often the owner actually uses the result.

Grow the business. If the aim is more sales, retention or profit, measure that outcome. Plan a fair comparison, such as similar customers with and without the change. Faster preparation alone does not prove revenue growth.

Agree the decision before the test

Set the test period, cost limit and thresholds before seeing the results:

• Continue if the benefit and quality thresholds pass.
• Revise once if a specific, affordable fix is likely to close the gap.
• Stop if a critical safety check fails or the benefit remains too small.

The agency example · illustrative numbers

Today: 30 minutes of preparation per task.

Target: 20 minutes or less, including review, with no critical details missed in the test cases.

Possible result: 15 minutes at 20 tasks a month frees five hours.

Include tool and support costs, decide where those hours go and measure actual use. Freed time is not automatically a payroll saving.

Decide what comes next

Review results, costs and actual use. Ask what caused the improvement; keep useful process changes too.

Apply the agreed continue, revise or stop decision. Any revision gets one clear change, a fixed budget and a new deadline. If it still misses the thresholds, stop or choose a simpler approach.

Check whether the benefit lasts

A four-week Sprint provides early evidence. Name a benefits verifier, such as the owner or finance lead, to check actual use, net time saved, quality and operating costs.

Check weekly during the test, then 30, 60 and 90 days after launch. Wait for at least a quarter in production before estimating annual returns, and still account for seasonality and changing volume.

Eight checks before daily use

The business owner and delivery lead should be able to confirm all eight:

1. Value: The measured benefit justifies the full cost.
2. Process: The steps, exceptions and quality checks are understood.
3. Data: Required information is available, usable and approved for this purpose.
4. Support: Someone can deploy, monitor and fix it, with a pause and fallback process.
5. Users: The people using it are willing, trained and know how to correct results.
6. Capacity: The team has time to change its working habits.
7. Accountability: A named business owner approves the result and next decisions.
8. Controls: Relevant legal, privacy and security requirements, access limits and human approvals are in place.

A controlled pilot may explore an unresolved value or process question, while permissions and safety controls remain in place. Daily production use needs all eight checks. Test difficult cases and repeat the checks whenever you expand the workflow or give it more autonomy.

Review the whole plan

Update priorities with what you learn and redirect resources from stopped projects. Reuse working connections, checks and training. Fix shared blockers, such as access or the owner's ability to supervise AI, when they unlock several useful ideas, even if their own return is hard to isolate.

Write your one page plan

Your 15 minute exercise

Work with the person closest to the task. Complete the five prompts below in plain language. Mark anything you still need to find out.

1. Goal: We want [business result]. Today, [starting point] gets in the way.
2. First workflow: We will test [task] using [existing tools]. We will postpone [other work].
3. People and limits: [Name] owns the result. Our budget is [amount and time]. A person must approve [actions].
4. Test: Success means [measurable improvement] with [quality and safety thresholds]. We will allow one revision if [condition], and stop if [condition].
5. Next decision: On [date], [name] decides whether to continue, change or stop. [Benefits verifier] checks [measures] every [interval] after launch.

Put it into practice

At techwaves, our four-week AI Sprint starts with the owner or decision-maker and a recurring task close to their daily work. Together, we identify opportunities, map the steps and systems, and choose a focused starting point.

We prototype with approved data in your existing environment, test the results with you and prioritise what should go live first. The roadmap makes the expected value, assumptions and next steps clear.

Taking a workflow live depends on agreed quality, access and support checks. You learn to use and supervise it, then decide where to go next. The aim is a useful first improvement and evidence for your next investment.