AI Training That Sticks to Real Work
Corporate AI training teaches specific roles to use AI tools in their daily workflows — from coding assistants for engineers to prompt-driven productivity for business users — with measurable before/after skill assessment.
Every company is adopting AI tools; almost none trains people systematically. Employees pick things up chaotically, results vary from impressive to risky, and nobody can say what the tools actually changed. AI is also where knowledge ages fastest — tools change every few months, which is exactly why an operator model beats a one-off course: programs stay current, practice runs on your scenarios, and effect is measured.
Tracks are role-based, not generic “intro to AI” lectures. Each one is assembled like a custom course: your tools, your data policies, your use cases. Skill measurement before and after runs on the Evolve platform — the same one behind our skills management service.
What chaotic AI adoption looks like
- A few enthusiasts fly; the rest quietly ignore the tools the company pays for.
- Sensitive data ends up in public chatbots because nobody set rules or taught safe patterns.
- Engineering uses AI assistants at 20% of their potential — autocomplete instead of workflow change.
- Leadership approves AI budgets without a shared view of where AI pays off and what the risks are.
Five tracks, one per audience
AI for IT teams
Coding assistants in development and operations, AIOps, working with LLM APIs, agent systems, MLOps basics — hands-on, in your stack.
AI for business users
Productivity with ChatGPT, Claude and Copilot 365; prompting that works; concrete scenarios per department and role.
AI for sales & marketing
Content and creative generation, personalization, campaign analytics, funnel automation — measured against your current numbers.
AI for leadership
AI literacy for management: where AI delivers ROI, how to run adoption, what can go wrong and how to govern it.
AI governance & EU AI Act
Usage policies, data protection, compliance duties under the EU AI Act — critical for European organizations.
Before/after measurement
Skill assessment on the Evolve platform shows what actually changed — reporting your CFO will accept.
How a track is delivered
- Step 1
Scoping
Which roles, which tools, which policies. We map 3–5 concrete workflows per audience where AI should save time.
- Step 2
Baseline
Short skills assessment before training — so improvement is measurable, not anecdotal.
- Step 3
Hands-on sessions
Live workshops on your real scenarios and approved tools. No slideware marathons — participants leave with working habits.
- Step 4
Follow-up
Post-assessment, adoption metrics and a refresh plan — because the tools will change again in six months.
Who this is for
- Companies of any vertical — law firms to manufacturing. AI training is the service that makes any business our client, not just IT organizations.
- IT teams that want assistants and agents embedded in real engineering workflows.
- Leadership teams preparing an AI adoption decision — or cleaning up after an unmanaged one.
- European organizations that need EU AI Act awareness across staff — see also delivery schemes for rollout at scale.
Frequently asked questions
Is this generic AI awareness training or hands-on?
Hands-on. Each track is built on your approved tools and 3–5 real workflows per role. Participants practice on scenarios from their own job, and skill change is measured before and after the program.
Which AI tools do you cover?
Whatever your company actually uses or plans to adopt: ChatGPT, Claude, Microsoft Copilot 365, GitHub Copilot and coding assistants, plus LLM APIs and agent frameworks for engineering teams. Programs are tool-agnostic and updated as tools change.
How do you handle data security during training?
Training scenarios use synthetic or sanitized data, and safe-usage patterns are part of every track. The governance track goes further: usage policies, data protection rules and EU AI Act obligations for your context.
Can non-IT staff follow the training?
Yes — that is the point of role-based tracks. Business users, sales and leadership tracks assume no technical background and focus on daily workflows, not technology internals.
How often should AI training be refreshed?
Tools change every few months, so we recommend a light refresh every 6 months and a baseline re-assessment yearly. As an operator we keep the program current — you do not re-buy a static course.
Request 2–3 training options — quotes within 5 business days
No commitment — describe the task and we come back with concrete options, dates and prices.