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Course Outline

Prerequisites

No technical background is required. Beneficial (not mandatory): basic familiarity with AI tools such as ChatGPT or Microsoft Copilot.

Audience

  • Team Leaders and Middle Managers
  • Project / Product Managers
  • Heads of Functions (Operations, Customer Service, Sales)
  • HR Business Partners (optional)

Introduction (Human Factors in AI Adoption)

  • Why AI adoption fails in real teams: human factors outweigh tool capabilities
  • Trust calibration: balancing under-reliance vs. over-reliance (automation bias)
  • Accountability: "AI can assist, but humans remain responsible"

1. Calibrated Reliance (Safe Use in Daily Work)

  • Use-case boundaries: distinguishing appropriate from inappropriate AI usage
  • Stop rules: when to pause, verify, or escalate
  • Common failure patterns and early warning signs

2. Verification Standards (Quality Without Slowdowns)

  • Practical verification levels (light, standard, strict)
  • Red flags: hallucinations, outdated facts, missing sources, sensitive content
  • The "Second source" principle and traceability basics (what to document)

3. Accountability and Decision Hygiene

  • Ownership: defining who validates, decides, and signs off
  • Escalation triggers and decision thresholds
  • Decision log: minimum evidence requirements and documentation standards

4. Team Agreements Workshop (Core Deliverable)

  • Working agreement structure: trigger, action, evidence, owner, consequence
  • Examples for common workflows (emails, analysis, customer communications, internal documents)
  • Aligning agreements with company policy and confidentiality rules

5. Trust and Psychological Safety

  • Common fears: replacement, loss of competence, loss of status
  • Manager scripts: discussing AI without hype or panic
  • Conflict patterns: managing "pro-AI" vs. "anti-AI" dynamics and de-polarizing discussions

6. Light Incident Response (AI Mistakes and Near-Misses)

  • Classifying incidents: low, medium, or high impact
  • Containment and communication strategies (internally and with customers when necessary)
  • Learning loop: updating agreements, templates, and rituals based on lessons learned

7. 30-Day Adoption Plan

  • Team rituals: weekly check-ins, prompt reviews, incident reviews, and decision reviews
  • Key metrics: adoption quality, rework rates, escalations, and trust indicators
  • Next steps and follow-up plan

Requirements

  • Basic familiarity with everyday workplace workflows (email, documents, meetings).
  • Beneficial (not mandatory): prior exposure to AI tools such as ChatGPT or Microsoft Copilot

Audience

  • Team Leaders and Middle Managers
  • Project / Product Managers
  • Heads of Functions (Operations, Customer Service, Sales)
  • HR Business Partners
 7 Hours

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