AI training & implementation

Your team already uses AI. The only question is: how.

AI training for employees in medium and larger companies: the team learns to use ChatGPT, Claude and Gemini on its own real tasks, with clear rules about what may — and what must not — go into public AI tools. From assessment to continuous support: in groups, by department or individually, however it suits your company.

Book a free consultation What the research says
  • +14–40%productivity with properly used AI (Stanford/MIT, BCG)
  • 5 stepsfrom assessing the company to continuous support
  • 1–2 daysper group for the core programme, on your tasks

The problem is not AI. The problem is wrong usage.

In most companies AI is already in use — just unorganised. Part of the team will not touch it ("not for me"), part is pasting confidential data into it, and part is handing in results nobody checked. The effect: zero system, real risk.

  • The team does not use AI: tasks that take an hour still take an hour, while the competition finishes them in ten minutes.
  • The team uses AI wrongly: generic output, invented data in quotes, a copied tone that sounds nothing like the company.
  • Nobody set the rules: client data ends up in public tools with no control at all.
  • A tool was bought, not knowledge: licences are paid for and three people use them. McKinsey: nearly half of employees ask for formal training.

The training programme: 4 modules.

Everything on examples from your company. The team does not watch demonstrations — it finishes its own tasks. On-site or online, in groups.

all employees, in groups

Foundations for the whole team

  • ChatGPT, Claude and Gemini: what each is good at and when to use which
  • Writing prompts that produce usable results
  • Emails, quotes, reports and analyses with AI, on concrete tasks from your company
  • Where AI goes wrong: hallucinations, verification and the limits of trust
management + IT

Security and rules

  • What may and may not go into public AI tools (company data, client data, contracts)
  • An internal AI policy: who uses what and how. A document the company keeps
  • GDPR aspects of using AI tools with personal data
  • Business accounts and settings that protect your data
teams, workshops

AI by department

  • Sales: meeting preparation, quotes, follow-up communication
  • Marketing: content, campaigns, competitor analysis
  • Operations and finance: reports, spreadsheets, documentation
  • HR and support: job ads, onboarding materials, knowledge base
power users + management

Advanced level and systems

  • AI agents and automation: what is worth building (and what we build)
  • Working with internal data: safe ways for AI to know your company
  • Measuring the effect: how to track savings in hours per department
  • A rollout plan for the next 6 months, concrete and step by step

We usually combine the training with automation and AI agents. A team that understands the tools adopts the systems we build much faster.

How do we bring AI into your company?

Training is part of a wider process. From the first assessment to a team that uses AI every day, each step adapts to your processes, systems and people.

  1. Assessment of the company

    Before any training we map how your company actually works: which processes and systems you have, whether there is IT support, how much AI is already used and the technical level of the staff. Without the assessment there is no tailored programme.

  2. Goals with management

    Together we set the goals: what the company wants to speed up, where the most time is lost and how success will be measured. The programme is built from the goals, not the other way round.

  3. Core AI training

    The team goes through the programme module by module, on its own real tasks. In groups, by department or individually for key people. On-site or online, at a pace that fits the business.

  4. Tools, procedures and systems

    We choose tools the team will actually use, set up business accounts and security settings, and put procedures and systems in place. The knowledge does not stay in the classroom — it enters everyday work.

  5. Continuous training and support

    We continue as needed: new employees, new tools, advanced levels. Format, scope and timeframe fully adaptable to your company.

What does official research say?

Not our claims — independent studies by leading institutions on teams working with and without AI tools. Sources named in full.

+35% productivity of less experienced employees with AI

Stanford & MIT (Brynjolfsson, Li, Raymond) (2023–2025)

A study of more than 5,000 support agents: generative AI raised productivity by 14% on average, and by around 35% for less experienced employees. New employees with the AI tool reached in 2 months the performance that took colleagues without it 8 months.

Research source →
+40% quality of consultants' work with properly used AI

Harvard / Wharton / MIT × BCG ("Jagged Frontier") (2023)

An experiment with hundreds of BCG consultants: with AI they completed tasks 25% faster, did 12% more tasks and achieved 40% higher quality. The biggest jump came from below-average performers. The key finding: the result depends on whether the user KNOWS what AI may and may not be used for.

Research source →
-40% time per writing task with AI

MIT (Noy & Zhang, published in Science) (2023)

A controlled experiment with professionals on writing tasks (emails, reports, analyses): ChatGPT cut production time by 40%, while the rated quality of the output rose by 18%. The biggest gain: employees stop doing drafts and start doing review and decisions.

Research source →
88% of organisations already use AI — the question is only how well

McKinsey: The State of AI (2025)

88% of organisations use AI in at least one business function, but only a third have scaled the use — and the biggest financial effect comes from redesigning workflows, not from buying tools. Nearly half of employees say formal training is the best way to raise AI adoption, and more than a fifth receive almost no support.

Research source →

The common finding across all studies: the biggest jump does not come from the tools, but from trained people. The teams that gain the most are precisely those using AI the least today.

The questions management asks.

Duration, security, team resistance, price. Directly.

Who is the AI training for?

For medium and larger companies that want their team to use AI daily and properly: from group training for all employees, through workshops by department, to programmes for management. We also run individual training for key people (power users) who later carry the knowledge through the company.

What does introducing AI into a company look like from start to finish?

Five steps: first we assess the state of the company (processes, systems, IT support, how much AI is already used and the technical level of the staff), then we set goals with management, then the team goes through core AI training on its own tasks. After the training we choose and configure tools, procedures and systems, and continue with ongoing training and support as needed. Every step is adaptable: groups or individuals, on-site or online, at the company's pace.

What does the team actually learn?

To complete its real tasks with AI: emails, quotes, reports, analyses and communication — on examples from your company, not generic demonstrations. Along with that, the team gets clear rules about what may go into AI tools and what must not, for data protection.

How long does the training take?

The core programme takes 1 to 2 days per group, while the complete programme (foundations + departments + security + advanced level) is spread over 2 to 6 weeks so the knowledge can be applied between sessions. Duration, format and schedule are fully adaptable: group, individual or combined. You get the exact plan after a free consultation.

Does the training cover ChatGPT, Claude and Gemini?

Yes — we teach the team to use all three leading tools and to know which is best for which task. If the company already has business licences (e.g. Microsoft Copilot or ChatGPT Team/Enterprise), we adapt the training to the tools you pay for.

What if part of the team resists AI tools?

That is normal and we plan for it: the training starts from the tasks those people already do, so AI is presented as help, not a threat. Research (Stanford/MIT, BCG) shows that the biggest jump comes precisely from the less experienced and the sceptical, once they get structure and permission to use the tool.

Is there a risk to company data when using AI tools?

There is — if the tools are used without rules, which is why security is a separate training module. The team gets a clear policy: which data may go into which tools, which settings are used on business accounts and how client data is handled in line with GDPR.

How much does AI training for companies cost?

The price depends on the number of employees, the number of modules and whether it is delivered on-site or online. On a free consultation you get a programme proposal with a price per group — and training is also included in every AI system we implement.

The competition is not waiting for your team
to figure it out alone.

Free consultation: we assess where your team is today and propose a training programme with a price, by groups and departments.

Book a free consultation