The demonstration convinced the management committee. The assistant gave correct answers, the dashboard impressed everyone, and each person left wanting to go further. A few months later, the pilot is still running on a project manager’s workstation, and no department uses it day to day.
This scenario does not reveal a technical failure. It signals the absence of an AI roadmap: a short document that specifies which use cases you tackle, in what order, with what resources, and under what conditions a trial becomes a working tool. Here is how to build one.
Why so many pilots stop at the demonstration
A pilot, or proof of concept, checks that an idea works on a narrow scope. Production means real use: many users, the data of the day, a service that must hold every morning. Between the two, the requirements change in nature.
A pilot tolerates data cleaned by hand, a motivated user and a few errors. Production requires automatic data flows, access rights, supervision and someone who answers when the system gets it wrong. If nobody plans this work from the start, the project stops at the border.
Three causes come up often:
- the pilot answers a technical curiosity, not a problem carried by a business director;
- nobody set in advance the result that triggers the next step;
- the budget covers the build, but neither integration nor operation.
Building your AI roadmap in six steps
A useful roadmap fits on a few pages. It is written with the business departments, not only with IT. You can build it in-house or with a partner specialised in artificial intelligence and BI integration, BI meaning the analysis of your management data.
- Start from business pain points. Ask each department which tasks consume time without creating value: re-keying, reminders, document searches, forecasts done by hand.
- Sort the use cases. Score each idea on two axes: expected gain and feasibility, meaning available data, integration complexity and the seriousness of an error.
- Check the data. For each selected case, identify the source, its owner and its state. An incomplete history or one scattered across personal files postpones the use case; it does not cancel it.
- Set the criteria for moving on. Before the pilot, write down what it must prove: quality level, time saved, user adoption.
- Plan integration and operation. List the connections to build with your ERP (integrated management software), your CRM (customer relationship management tool) or your website, then name the person who will supervise the tool once live.
- Sequence the work. Start with a simple, visible case. Then move on to more ambitious cases that reuse the same data and components.
The sorting in step two produces four families. High-gain, easy cases open the roadmap. High-gain but difficult cases become structuring projects to prepare. Easy, low-gain cases serve as exercises for the teams. You drop the rest.
Five questions before opening the tool to everyone
At the end of the pilot, gather the business sponsor, meaning the director who carries the project, IT and a user representative. The move to production is decided on precise answers, not on a general impression.
- Quality: on real cases, does the system reach the level set at the start?
- Data: do the flows arrive automatically, without manual reprocessing?
- Security: who accesses what, and where does the data go?
- Accountability: who corrects an error, who decides in case of doubt, who handles maintenance?
- Cost: do you know the monthly running cost at full load?
A “no” does not condemn the project. It identifies the work to finish before deployment. Conversely, five “yes” answers are not enough without prepared users: plan a training period and a channel for reporting anomalies.
The mistakes that cost the most
- Running several pilots in parallel. Each team tests its own tool, nobody arbitrates, and efforts scatter.
- Choosing the most spectacular case. A writing assistant impresses, but an automatic invoice matching sometimes brings in more.
- Not measuring the starting point. Without processing time or initial error rate, you cannot prove any gain.
- Confusing licences with a project. Buying access to an AI assistant does not change a process.
- Keeping users out of the design. They know the exceptions that make an overly theoretical tool fail.
Keeping the roadmap alive over time
A roadmap is not a fixed plan. Appoint an owner, hold a small committee at a regular pace, and track three steering indicators per use case: real usage, quality of results, and measured gain against the starting point.
Also accept stopping. A case that does not meet its criteria after a reasonable period frees budget for the next one. This discipline reassures the finance department and protects the credibility of the whole programme.
Finally, revise the order of priorities when your context changes: a new management tool, a reorganisation or a regulatory constraint may bring back a use case you had set aside.
What changes by sector
- Wholesale distribution: the first cases often concern order forecasting and processing delivery notes. The roadmap then depends on the quality of the sales history.
- Automotive components: quality control and scheduling interest the workshop first. Moving to production requires connecting the tool to machines and existing tracking systems.
- Private clinics: appointment booking and document management offer quick gains. Health data requires strict access rules from the pilot stage.
Structuring the approach with AISYSNEXT
AISYSNEXT, a digital agency and software publisher in Tunis, supports companies in their artificial intelligence and BI projects, from choosing use cases to integration into management tools. When your data lives in an ERP such as AROVA ERP, which centralises sales, purchasing, inventory and finance, the roadmap rests on a common foundation.
Want to scope a first use case or restart a stalled pilot? Describe your context to our team from the contact page.
Frequently asked questions
How many use cases should a first roadmap include?
Few. Select one case to start and two or three in reserve, ranked by priority. A short list forces trade-offs and keeps the teams focused.
Who should steer the AI roadmap?
A member of management with authority over the business functions and a direct link to IT. In an SME, the owner or the operations director often fills this role. IT alone is not enough, because gains are made in processes.
Do you need perfect data before starting?
No. Choose a first case whose data already exists in a reasonable state, and clean the other sources in parallel. The roadmap is precisely what sets the order of this work.
