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AI training · Responsible adoption

Build AI Capability Your Teams Can Actually Use.

Practical AI training, responsible adoption and evidence-based learning for modern organizations.

Request Corporate TrainingExplore AI Transparency Review

English & Turkish · For organizations in Turkey and Europe

Who we help

For people building AI capability across an organization.

  • HR & learning leaders

    Plan learning around roles, team needs and observable progress.

  • Managers & business teams

    Explore useful workflows with clear boundaries for safe use and human judgement.

  • SaaS & product teams

    Build shared language around AI output quality, evaluation and transparency.

  • Training organizations

    Explore bilingual workshops, instructor-led programs and curriculum collaboration.

Corporate training

Start with the work your team needs to do.

Three proposed program directions, scoped with you before delivery. Advanced technical topics depend on suitable specialists or partners.

  1. Enterprise AI Literacy & Safe Use

    Understand common AI capabilities and limitations; recognise sensitive information and situations requiring human judgement.

    Proposed · scoped on request

  2. Applied AI for Business Teams

    Break tasks into clear steps, practise prompting and build repeatable checks around AI-assisted work.

    Proposed · scoped on request

  3. LLM Evaluation & Responsible AI Foundations

    Understand evaluation questions, small test sets and the limits of model-generated answers; connect responsible use to practical review habits.

    Proposed · specialist/partner delivery to be confirmed

Explore programs & learning outcomes →

Evidence-based learning

A practical path from needs to next steps.

  1. Define

    Agree audience, tasks, current knowledge and a small set of learning objectives.

  2. Practise

    Work through guided examples using public or fictional material.

  3. Reflect

    Use short exercises and output reviews to discuss what participants can now do.

  4. Take forward

    Leave with agreed resources, workflow notes and an action plan.

Specialized technical service

AI transparency, with a clearly defined scope.

Alongside training, our Article 50 review records what a chat assistant shows on one public page in a desktop browser. Evidence is reviewed by a person before release.

  • One public page, loaded once in an isolated desktop browser
  • A supported chat widget’s first visible message, header and launcher
  • Masked evidence and a report in English and Turkish, after human approval

Explore the review →Article 50 service pricing →

This is a technical readiness review, not legal advice.

Illustrative exampletrn_01

Chat assistant on the homepage

Example Retail (fictional) · one public page · desktop

  • AI assistant likelyYes
  • AI disclosure in the first messageAbsent
  • Obvious to the visitorNo
  • Chat widgetIntercom
Illustrative example with fictional data. See the full sample report.

Collaboration

Bring practical AI learning to your community.

We welcome conversations with training providers, accelerators, technology teams and enterprise education collaborators. Joint delivery is agreed case by case.

Explore collaboration models

What should your team be able to do with AI?

Tell us about your audience, learning needs and preferred language. We will discuss a suitable scope and proposal.

Request Corporate TrainingDiscuss a partnership

Or email barbaros@actevidence.tech