Your team may already be using AI. Some people are getting useful results, others are still finding their feet and you want to understand what it should mean for the business.
The leadership decisions go beyond choosing a tool. Where could AI improve what you deliver? Which changes deserve investment? What needs to be in place for your people to use it well?
An AI strategy connects those decisions: what your business wants to achieve, where AI can contribute, the foundations it requires and how you'll decide whether the investment is working.
This guide gives you a starting point for those decisions. Use it with your leadership team, then complete the AI Strategy Worksheet with the person who owns your first area of work. The four-page PDF is designed to print or annotate. No signup required.
What AI-First Means for Your Business
We use AI-first to describe a business that considers AI when deciding how work should happen. Your people can use it with the business context, knowledge and data they need, within clear responsibilities and review.
That can change the service you offer as well as how efficiently you deliver it. A team might respond to a customer with a supported recommendation while the conversation is still current. A new colleague might complete work that previously required repeated guidance from a senior person.
AI-first doesn't mean automating every decision or replacing every system. It means making deliberate choices about where AI contributes and building ways of working your business can maintain.
The ambition can be broad. Your first commitment should be specific enough to evaluate.
Start With the Business You Want to Build
Choose an outcome that matters commercially. You might want to serve more customers with the team you have, offer a more responsive service or make expertise available across several sites.
Then identify the work that limits that outcome. If quotes arrive too late, examine how the team gathers requirements, checks pricing and handles exceptions. Generating the final document may be only a small part of the delay.
Talk with the people doing the work. Ask them to walk through a recent example, including the checking and conversations that happen outside the main system.
Write your ambition in one sentence: “We want our business to be able to…” Follow it with the specific workflow that needs to improve.
Choose Where to Invest First
Compare a small number of opportunities before committing to one. Avoid letting a convincing demonstration become the business case.
| Decision | What to Establish |
|---|---|
| Business Value | The result you want and why it matters to customers or the business |
| Current Effort | Frequency, preparation, review, rework and delays |
| Feasibility | Available knowledge and data, permissions and required connections |
| Risk | What an incorrect result could affect and how someone would catch it |
| Ownership | The person accountable for the work and the team who will use it |
| Full Cost | Setup, integration, licences, training, review and ongoing maintenance |
A good first opportunity has a clear owner and an outcome you can check. Your team can access the required information and keep mistakes from affecting customers or operations during the test.
If the sources are contradictory or nobody owns the process, address that before extending AI's responsibility. If a simpler process change would solve the problem, make that change.
Set a spending limit and a review point. Decide in advance what would justify continuing, revising or stopping.
Build the Foundations Around Your People
ELab AI's approach starts with people, process, knowledge and data, then technology. Each part affects whether the capability becomes useful in the working day.
People: Involve the person doing the work and the person approving it. Give them time to test and learn. Name someone they can ask when the output is wrong or unclear.
Process: Document what starts the work, what happens next and who makes each decision. Separate preparing a draft from approving it or taking action.
Knowledge and Data: Gather the relevant business context and approved sources. Identify their owners, resolve conflicting versions and preserve access restrictions.
Technology: Choose tools and connections that fit those requirements. Check what information they can access, what actions they can take and how the workflow behaves when something fails.
You don't need to reorganise every document in the business before starting. Prepare what the first workflow requires, with ownership that will hold as you expand.
Make Your Business Context Reusable
An experienced employee brings context to a task: the customer's priorities, the standard you work to and the exceptions that matter. Write that context down so colleagues can use it consistently with AI.
Start with a short brief explaining the business, the intended audience and the requirements for this work. Add approved examples and the relevant knowledge and data.
Keep the brief in an approved shared location with a named owner. Review it when the business changes. Reusing the same brief can also make comparisons between AI tools more meaningful, although each tool's access and capabilities still need checking.
Use only information you're authorised to use in the chosen environment. An initial test can use fictional material while you establish the appropriate access and security arrangements.
Judge the Finished Work
Evaluate the result your team can approve, including the effort needed to reach it.
Track preparation, corrections and review alongside the time AI takes. Check whether the output supports its claims with the right sources. Include difficult examples and missing information, so you can see where the workflow needs human judgement.
Suppose a fictional team prepares a weekly customer update. It gives AI delivery notes, an approved schedule and the previous update. When two documents disagree about a date, the expected behaviour is to flag the conflict for the account manager. A fluent draft with an invented date is a failed test.
The measure is whether the team can produce an accurate, useful update with less total effort. Repeat the test across representative work before deciding whether to expand. A small successful trial isn't proof that a capability is safe for every use.
Separate Capacity From Cash Savings
If AI reduces time spent on a workflow, record that as potential capacity first. Decide how the team will use it: serving more customers, improving response times or completing work that currently waits.
Calculate the time change using the full workflow, including review:
Potential Capacity per Period = Number of Tasks × Time Saved per Approved Task
Then consider adoption and the ongoing cost of running the capability. Cash savings need a separate explanation of which expenditure actually changes. Additional revenue also needs evidence of demand and the team's ability to serve it.
This distinction gives you a more useful investment decision than multiplying every saved hour by a billing rate.
Give the Improvement an Owner
Before wider use, agree who maintains the instructions, sources and access. Document the review rules and what the team should do if the capability is unavailable or produces an unreliable result.
Ask a colleague to use the workflow without the original builder explaining each step. Their experience will show what still depends on one person's memory.
Review performance after changes to the model, source material or business process. Your next investment should build on evidence from the first, with its own requirements and checks.
Put Your Starting Point on One Page
Use the AI Strategy Worksheet to capture your ambition, compare opportunities and agree your first test. It's designed for a discussion between a business leader and the people who know the work.
The immediate output is a decision: what to explore, who owns it and what evidence you'll need before investing further.
For examples of implementation, explore our industrial maintenance case study or investment operations case study. You can also read how ELab AI works.
If you'd like to talk through your starting point, tell us a little about your business using the enquiry below. You don't need a project brief or a meeting booked.
