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Training

Training is part of AI adoption, not a separate awareness campaign. It helps employees understand where AI is useful, how to use approved tools safely, and how to turn ideas into managed initiatives.

Goal

AudienceExpected outcome
All employeesUnderstand basic AI capabilities, limits, safe-use rules, and how to submit ideas
Leaders and process ownersCan find scenarios with measurable impact and assign owners
AI office and adjacent functionsUse one language for initiatives, products, risks, gates, and artifacts

Program path

1. AI literacy

  • what modern AI tools can and cannot do;
  • prompt, draft, recommendation, and automatic action;
  • hallucinations, errors, and data leakage;
  • how to check AI output.

2. Safe usage

  • data classes and restrictions;
  • personal, commercial, and critical data;
  • approved internal and external tools;
  • when a human must remain in the loop;
  • what must be logged for audit.

3. Scenario discovery

  • how to find manual work, delays, repeated decisions, and knowledge bottlenecks;
  • how to describe a problem through a process and metric;
  • how to use idea mining sessions.

4. From idea to initiative

  • initiative card;
  • business owner and impact owner;
  • impact hypothesis;
  • duplicate check;
  • AI product selection;
  • transition to assessment.

5. Working in the operating model

  • business funnel;
  • AI product delivery tracks;
  • stage gates;
  • artifacts;
  • portfolio metrics;
  • impact confirmation.

Formats

FormatWhen to useOutput
Intro webinarProgram launch or onboarding a new unitShared rules and route
Practical workshopDiscover initiatives in a specific processIdea package and initial triage
Role sessionLeaders, security, architecture, data, financeRole-specific decisions and checklists
Office hoursAfter training, when real questions appearImproved cards and removed blockers
Self-service materialsScaling to a broad audienceShared examples and rules

Metrics

  • training coverage by audience;
  • number of ideas after workshops;
  • share of ideas converted into quality initiative cards;
  • reduction of initiatives without owner, impact, or data;
  • safe-use incidents;
  • adoption of approved tools.