
How Many Employees Should Join Your First AI Pilot Program?
TL;DR
- •Identify three priority tasks that consume the most working hours and set them as the primary goals for the first pilot program.
- •The optimal pilot group size is 6 to 12 people. This allows for sufficient feedback while reserving resources for future scaling.
- •Employees whose tasks aren't among the top three, or those requiring deep specialization, should be reserved for the second phase, after initial results are achieved.
As a founder or CEO, you're likely asking: how many people should I involve in the initial AI pilot program to ensure effective learning without overstretching the budget or causing team resistance? Too many participants can lead to superficial engagement, while too few might result in missed automation opportunities. This guide offers concrete recommendations to strike the right balance and plan your subsequent AI adoption phases.
What Criteria Determine Who Joins the First Pilot Program?
Start by analyzing which tasks consume the most time within your company. Compile a list of the five most time-consuming operations using the "5 Tasks That Consume the Most Working Hours" questionnaire. Then, with your department heads, select three tasks that have the greatest impact on productivity and can be described without deep technical details. The first pilot program should include employees who directly perform these tasks and can articulate the logic in their own words. This is crucial, as the AI writes the code, not the people.
What's the Optimal Size for an AI Pilot Group?
Experience shows that a group of 6 to 12 participants provides enough role diversity to test various scenarios without overwhelming the trainer or making the training feel impersonal. With fewer than 5 participants, the risk of a one-sided outcome increases. With more than 12, coordination time grows, and individual attention diminishes. Therefore, plan for a maximum of 20 people (this is the upper limit for our corporate program), but start with a core of 6-12. The remaining can join a second wave after the first is successfully completed.
Checklist: Are You Ready to Launch Your Pilot Group?
✅ Three priority tasks with clear success criteria have been defined. ✅ Task descriptions are prepared in the format "I do X to achieve Y." ✅ Access to necessary data (test or anonymized) is secured. ✅ A coordinator has been assigned to collect feedback after each session. ✅ The schedule is approved: 4 meetings, 2 hours each, over two weeks.
How to Prepare Your Org Chart and Select Priority Tasks?
The first step is to build an organizational chart to identify where routine tasks are concentrated. You can do this quickly with a free tool that visualizes departments, typical tasks, and the potential hours that could be offloaded to AI agents. Once the org chart is ready, highlight the sections where your chosen three tasks are performed. This helps visually confirm your selection and explain to the team why these specific workflows are being addressed first.
Founders often use our AI literacy team training guide to quickly get all participants on the same page.
Which Roles Should You Reserve for the Second Phase and Why?
Employees whose work requires deep specialized knowledge (e.g., architectural design, complex financial auditing, or legal expertise) are best reserved for the second pilot program. They often require custom model tuning or work with confidential data, which in early stages might necessitate additional NDAs or special test datasets. Also, consider delaying those whose work involves vast amounts of unstructured data (audio, video, scanned documents) until a reliable preprocessing approach has been established.
Comparison Table: First Wave vs. Later Waves
| Criteria | First Pilot Wave | Second Pilot Wave |
|---|---|---|
| Time on task (per questionnaire) |
| < 2 hours/week |
| Need for specialized knowledge | Lower | Higher |
| Availability of test data | Yes (anonymized) | Requires real or confidential |
| Ability to describe logic in words | Yes | Often no |
| Expected automation impact | Fast, visible | Complex, requires integration |
How to Transition from the First Pilot to Scaling?
After the 4 sessions, evaluate the results: were at least 3 working automations achieved? Were participants satisfied? Were any blocking factors identified? If successful, initiate your scaling plan:
Week 1-2 – Share the results across the company, showcasing concrete automations and time savings. Week 3-4 – Formulate a new list of tasks for the next wave, based on feedback from the first group. Week 5-6 – Recruit the second group (you can expand to 15-20 people) and repeat the cycle, using the technical task templates already created. Week 7-8 – Implement process improvements based on the insights from the first wave, starting with the most effective automations.
This iterative approach allows you to learn from your experiences, maintain budget control, and demonstrate clear benefits before involving the entire workforce.
How this works on our side: Our corporate program format includes 4 live sessions, 2 hours each, over 2 weeks, plus a recorded video course for every participant. One group includes up to 20 company employees for a single fixed price. The program's outcome is a minimum of 3 working automations for tasks the company itself identifies as priorities, with a money-back guarantee. https://course.aiadvisoryboard.me/corporate?utm_source=blog&utm_medium=article_body&utm_campaign=corporate
Definitions
Definition: Pilot Group – The initial set of employees undergoing structured AI automation training with the goal of achieving a minimum of three functional solutions for predefined priority tasks. Definition: Priority Task – An operation that, according to the questionnaire, consumes the largest portion of working time and has a clearly described outcome, suitable for automation without extensive infrastructure changes. Definition: Org Chart – A schematic structure of a company showing relationships between departments, roles, and typical tasks, used to identify routines that can be delegated to AI agents.
FAQ
Do I need a technical background to participate in the pilot group? No. Participants describe the logic in their own words, and the AI generates the code. Only the ability to clearly articulate the steps of your work is required.
What if we have fewer than 6 people? You can start with a smaller group, but it's important to get feedback after each session and expand the group in the next phase when more resources become available.
Can we include managers in the first pilot? Yes, if their tasks fall within the top 3 most time-consuming. However, it's often better to start with operational employees and add managers to the second wave to confirm strategic impact.
What if automations don't work after the first pilot? Most likely, the problem lies in an unclear task description or an insufficient test set. Revisit the questionnaire, clarify the steps, and try again with a smaller dataset.
How do we measure the success of a pilot group? By the number of working automations (minimum 3), time saved on each task (comparing before and after), and participant satisfaction (short surveys).
Conclusion: The size of your first AI pilot program depends on clearly defined priority tasks and your team's ability to articulate their work processes. Start with a core of 6-12 people, achieve a minimum of three working automations, and then expand the group using the templates and lessons learned. Take the first step tomorrow: map out your company's org chart with a free tool and complete the "5 Tasks That Consume the Most Working Hours" questionnaire.
Frequently Asked Questions
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Read the article https://aiadvisoryboard.me/blog/skilky-spivrobotnikiv-v-pershyi-ai-potik.md and summarize the key points. Then ask me about my company (industry, team size, what takes the most time) and explain which ideas from the article apply to us and where to start.
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Map the three top time-consuming tasks from the questionnaire, then assign 6-12 employees who perform them to the pilot. Track weekly hours saved per task pre- and post-automation using simple time logs. After four 2-hour sessions, verify at least three working automations and calculate immediate labor cost reduction from reclaimed hours.
This week, start by using a free org chart tool to map your departments and typical tasks. Then, with department heads, run the '5 Tasks That Consume the Most Working Hours' questionnaire to list the top five time-consuming operations. From these, jointly select three priority tasks that have high productivity impact and can be described in plain language by the employees who perform them. Draft each as 'I do X to achieve Y' and secure access to test or anonymized data for those tasks.
Map the top three time-consuming tasks using the questionnaire, then confirm with department heads which employees perform them and can describe their workflows in plain language—this ensures the pilot targets real pain points with participants who can effectively collaborate with AI to build working automations.

Implements AI agents in companies and teaches founders and their teams to work with them — through courses and corporate programs.
This article was prepared with AI assistance, based on Yaroslav Maxymovych's methodology and materials. Spotted an inaccuracy — let us know via the form below.
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