AI for teams
We teach on the tools you work with:
Microsoft Copilot
From the first useful task to a lasting change in how your team works. We build skills through practice, with the tools and materials your company uses.
Client stories
approx. PLN 47kper month
the value of the time employees, by their own estimates, saved thanks to AI (survey estimate). A manufacturing company, adoption programme running since December 2025.
Survey 05.2026, self-reported data: 24 people estimated their combined savings at 136 hours per week.
See the case study10% → 87%
adoption of an internal AI assistant at a pharmaceutical company.
See the case studyProgram levels
A shared foundation for everyone, practice for teams and process work for their leaders. Choose a starting point that matches the organisation’s readiness.
Our Hi_AI e-learning platform for the whole company: shared principles for working with AI, short lessons and exercises that help people start using the chosen tool.
See what it includesTeams work with a trainer on real tasks. Tested approaches become reusable Skills and everyday habits.
See what it includesLeaders and teams redesign selected processes from scratch, with AI at the core. They test ideas on demonstrators and prepare material for a board decision.
See what it includesFormat
A one-day workshop gives inspiration but rarely changes how people work. That is why we run programmes in which people work with AI on their own tasks for several weeks. An adoption programme is change management, not just training. We change the habits and the way teams work, not only how they use a tool.
Tools
Our adoption programmes were designed by experts who work in Microsoft Copilot and Claude every day.
Microsoft CopilotWe start with the documents, email and meetings the team already works with. Adoption connects useful applications with information access rules.
We choose tasks that need analysis, synthesis or new materials. We organise the sources, instructions and criteria that make the result useful.
How the program works
In the programme we write down proven ways of working: where to get the data, what to do with it, who receives the result and how to tell it is good. Other people and AI tools use these instructions.
When we build an AI Engine, these instructions become part of it. See how AI Engine works →
Measuring results
Before we start, we agree on the baseline and the measures with you. At level 1 we measure completions and knowledge, at level 2 the calculated effect per participant, and at level 3 initiatives with an initial return estimate and the board's decision.
A survey and conversations with teams show who uses AI and how, and how much time selected tasks take. Together we agree how we will recognise the effect.
We check how many people use the tool regularly, in the usage reports of the admin panel. Example: at a pharmaceutical company, adoption of the AI assistant grew from 10% to 87%.
A survey shows the time recovered and its value, and the results register shows working use cases and saved Skills. Example: approx. PLN 47k per month at a manufacturing company (self-reported data).
The report shows the change against the baseline and the next steps. Confirmed value counts towards our goal.
After the programme
AI practitioners and AI First end with a register of use cases and a list of tasks worth improving. Based on it, the board decides what comes next.
The programme extends to other departments, and power users from the first group support their colleagues.
Explore the solutionRepetitive tasks identified in the programme can become candidates for an agent. We start with one process.
Explore the solutionWhen data from several systems is the bottleneck, we bring it together in a shared company context.
Explore the solutionTestimonials
“I value the team’s depth of expertise, practical approach and commitment to developing the skills of leaders and teams.”
Magda Gajownik de VriesInnovation Development Department, Polish Development Fund (PFR)“Thanks to the hands-on part, I can use the tools on my own, both at work and in everyday life.”
Paulina HysRegional Dental Manager, MedicoverPartners and certificates
Funding
WeAreFuture is a registered provider in Poland’s Development Services Database (BUR), so our programs can be financed from public funds. We also hold the SUS 3.0 certificate, which makes applying easier. This applies to the programmes with a trainer (AI practitioners, AI First); the Hi_AI e-learning course cannot be funded through BUR. For a specific call, we prepare a separate quote.
Covers up to 70% of training costs. The employer applies at the local labour office.
Programs for companies run by PARP operators, for example in automation and AI. Conditions and funding levels follow the rules of each call.
Regional funding systems co-finance development services. The level of support depends on the region.
Questions
In a programme that works on your tasks and tools. We run three levels: the Hi_AI e-learning platform for the whole company, the AI practitioners programme for power users and the AI First: processes redesigned programme for leaders. We teach in Microsoft Copilot or Claude.
On the Hi_AI platform, lessons take 4–8 minutes and the core takes 60–90 minutes spread over 2–3 weeks. AI practitioners takes 8 weeks and 11 sessions with a trainer for a group of up to 30 people. AI First takes about 6 weeks in the calendar, including about 4 weeks of team work, and covers 3 to 6 teams.
Not as a standalone service. Workshops are part of the programme, because a single day rarely changes how people work. In the programme, people work with AI on their own tasks for several weeks, and the trainer comes back to them in the following sessions.
Microsoft Copilot and Claude. If your company has not chosen a tool yet, we help with the choice and the purchase.
Yes. We are listed in Poland’s Development Services Database (BUR), so programmes can be financed, among others, from the National Training Fund (up to 70% of training costs) or from PARP projects. This applies to the programmes with a trainer; the Hi_AI e-learning course cannot be funded through BUR. For a specific call, we prepare a separate quote.
Before the start we agree on the baseline and the measures. During the programme we check how many people use the tool regularly, and afterwards a survey measures the time recovered and its value. The board report shows the change against the baseline.
Written-down ways of working and Skills, a results register and people who support their colleagues. On this basis we choose the next step, more teams, the first agent or a data foundation.
Book a conversation with Marcin, who leads the WeAreFuture Academy and our AI adoption programmes. We start with your tools, tasks and team experience, choose a programme and agree how to evaluate its effect.
Book a callOr write to: hello@wearefuture.ai
