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Course Outline

Prerequisites

No technical background is required. Helpful (not required): 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: the role of human factors, not just tools.
  • Trust calibration: navigating 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: determining what is appropriate for AI and what is not.
  • Stop rules: knowing 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  • Red flags: identifying hallucinations, outdated facts, missing sources, and sensitive content.
  • "Second source" checks and traceability basics (what to log).

3. Accountability and Decision Hygiene

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

4. Team Agreements Workshop (Core Deliverable)

  • Structure of working agreements: 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

  • Addressing typical fears: replacement, loss of competence, loss of status.
  • Manager scripts: how to discuss AI without hype or panic.
  • Navigating conflict patterns: bridging "pro-AI" vs. "anti-AI" divides and reducing polarization.

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

  • Classifying incidents by impact (low, medium, high).
  • Containment and communication strategies (internally and with customers when necessary).
  • The learning loop: updating agreements, templates, and rituals.

7. 30-Day Adoption Plan

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

Requirements

  • Basic familiarity with everyday workplace workflows (email, documents, meetings).
  • Beneficial (not required): 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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