Corporate AI training that actually moves
the needle.
What challenges is your company facing today?
What our clients and partners say about us?
01 FUNDAMENTALS
Foundational AI training — every company needs this
Compliance, safe-use standards, and a skills baseline.
FUNDAMENTALS 1.1
„AI Act regulations require training for employees using AI systems. Your organization needs a documented compliance process."
Completion certificate
FUNDAMENTALS 1.2
„People say they use AI — but most don't know you can upload a PDF and extract structured data from it."
Participants:
FUNDAMENTALS 1.3
„Training ends and people forget. There's no space for practice and continuous AI skill development."
02 AI IN BUSINESS PROCESSES
Department-specific AI workshops — hands-on support
PROCESSES 2.1
"Preparing proposals takes hours, follow-ups get lost, and client conversation context gets scattered."
What you'll learn:
8 participants
PROCESSES 2.2
"Content creation is too slow, brand voice is inconsistent, and personalization requires too much manual effort."
PROCESSES 2.3
Manual reporting, copy-pasting from multiple sources, preparing board materials takes days.
Operations, finance, administration
PROCESSES 2.4
Developers don't leverage AI coding assistants, debugging takes too long."
What you'll learn:
Effective use of GitHub Copilot / Cursor / Claude Code
Dev and IT teams
Looking for training for another department?
03 | TOOLS
AI tool adoption — ROI from your existing licenses
TOOLS 3.1
"We bought Copilot licenses, but most of the team doesn't know how to use it in their daily work."
What you'll learn:
Full Copilot capabilities in M365
"We've been paying for this for 6 months and were using maybe 20% of its capabilities."
15 participants
TOOLS 3.2
"We have a corporate ChatGPT license, but people still use the free version."
TOOLS 3.3
"We have Google Workspace but don't use Gemini."
Google Workspace integrations (Docs, Sheets, Gmail)
Google Workspace users
TOOLS 3.4
"We've deployed Claude, but teams don't understand how it differs from ChatGPT."
Users with Claude access
TOOLS 3.5
“We built our own AI tool, but teams still rely on old workflows.”
"The tool had been ready for months — what was missing was training that shows people why it's worth using."
Internal tool users
04 | AI LAB ACCELERATOR
An intensive cross-functional program: opportunity identification -> prototypes -> business cases -> Demo Day.
OUR FLAGSHIP PROGRAM
AI Lab Accelerator — from ideas to working prototypes.
How it works:
"We walked in with AI ideas.
We walked out with working prototypes and business cases the board approved within a week."
Participants:
Format:
05 | STRATEGY & TRANSFORMATION
Leadership Training — Driving AI Transformation
A unified AI vision for the entire organization.
Roadmap, governance, decision criteria — so AI doesn't end at the pilot stage.
TRANSFORMATION
AI Transformation in your organization
"The board wants AI implemented, but there's no coherent plan."
What you'll learn:
Organizational readiness assessment
Implementation area prioritization
AI governance model
Participants:
C-suite, directors, transformation leaders
Format:
1-2 days
Min. group:
3 participants
Why companies choose our AI training
We meet the Training & Development Services Standard — certified quality of processes and methodology.
Follow-up sessions and consulting after workshops. We don't leave teams with just theory.
Ready-to-use workflow recipes
Prompt library, quality checklists, and templates for immediate implementation.
We measure results: reaction → knowledge → behavior → business outcome.
Hands-on experience from Data & AI projects at firms like Accenture and PwC.
How we work together
1
Conversation
No sponsor on the business side.
2
Matching
The goal is to "check the box" without measuring outcomes.
3
Delivery
The training doesn't address a specific business problem.
4
Measuring results
No time to apply knowledge after training — training alone isn't enough.
When we don't engage
Together, we'll identify what skills your team needs and match the right format to your situation.
Frequently Asked Questions About AI Training for Companies
1. Which training should we pick if we're just getting started with AI?
Start with the Fundamentals: AI Act Compliance training (mandatory for companies using AI systems), AI Working Standards workshops (safe usage, prompting best practices, working with documents), and access to the Hi_AI platform as a foundation for ongoing development. This gives your organization a solid baseline — compliance, data security, and core competencies — before you start scaling AI across business processes. Minimum group: 20 participants. Format: e-learning (compliance) + webinars or on-site workshops.
2. Do you measure training outcomes?
Yes. We use a 4-level results framework: (1) reaction — NPS and workshop evaluation, (2) knowledge — quiz and competency test, (3) behavior — measuring AI tool adoption in daily work, (4) business outcome — impact on process KPIs. After every program, we deliver an Impact Report with measurable training results. We operate in accordance with the Training & Development Services Standard (SUS 3.0) — certified quality of processes and training methodology.
3. How does WeAreFuture AI training differ from typical courses?
We don't deliver generic AI courses. Every program is designed around a specific business problem — and we measure whether it was solved. Our differentiator is deep change management and adoption expertise: we know that transferring knowledge alone isn't enough if you don't change habits and processes. That's why every program includes elements that embed knowledge into daily practice.
4. What does the training engagement process look like?
The process is straightforward with no unnecessary steps: (1) Conversation — we learn your organizational context, AI maturity, challenges, and goals. (2) Matching — we select the right training, format, and schedule for your situation. (3) Delivery — we run workshops with exercises based on real cases. (4) Measuring results — Impact Report with outcomes: knowledge, adoption, process impact. The entire process from first conversation to launch typically takes about 3 weeks. No forms or surveys required before the first call.
5. Do you offer AI training tailored to specific industries?
Yes — we deliver custom training, but only when we see a real path to ROI. Before preparing a proposal, we understand the business problem and validate whether training is the right solution. We have experience across industries: pharma (AI adoption programs for medical teams), FMCG (AI in marketing and sales), manufacturing (AI in operations), finance and insurance, retail. We've worked with AbbVie, Henkel, Medicover, Versuni, LPP, PZU, and E.Wedel, among others. Tell us about your challenge — we'll match the right approach.
6. Can training be co-funded?
Some of our programs qualify for co-funding through Polish development programs (SUS/BUR). Contact us for details and help with documentation.
7. What is an AI adoption program and how does it differ from standard training?
An AI adoption program is a comprehensive approach to building AI capabilities in an organization that goes beyond knowledge transfer. In addition to workshops, it includes: diagnosis of work processes and habits, embedding AI tools into the team's daily workflows, post-training support (follow-up sessions, consulting), change management — changing habits and processes, not just skills, and measuring real AI usage at work (not just quiz scores). At WeAreFuture, we specialize in adoption programs. Result at a pharma client: daily AI usage grew from 12% to 90% within 6 months.
A structured approach to AI across your organization
When AI outgrows individual projects and starts impacting multiple areas simultaneously, you need a holistic approach. AI SYSTEM is our operating model that brings structure to AI across the organization — from strategic decisions and prioritization, through implementation, to adoption.