Get in Touch

Course Outline

Prerequisites

No technical background is required. Helpful (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)

  • Understanding why AI adoption fails in real teams: it is about human factors, not just tools.
  • 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: identifying what is appropriate for AI and what is not.
  • Stop rules: knowing when to pause, verify, or escalate.
  • Recognizing common failure patterns and early warning signs.

2. Verification Standards (Quality Without Slowdowns)

  • Practical verification levels: light, standard, and strict.
  • Identifying red flags: hallucinations, outdated facts, missing sources, and sensitive content.
  • “Second source” principles and traceability basics (what to log).

3. Accountability and Decision Hygiene

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

4. Team Agreements Workshop (Core Deliverable)

  • Structure of a working agreement: 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, and loss of status.
  • Manager scripts: how to discuss AI without hype or panic.
  • Managing conflict patterns: navigating “pro-AI” vs. “anti-AI” dynamics and de-polarizing.

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).
  • The learning loop: updating agreements, templates, and rituals.

7. 30-Day Adoption Plan

  • Establishing team rituals: weekly check-ins, prompt reviews, incident reviews, decision reviews.
  • Identifying metrics that matter: adoption quality, rework rates, escalations, and trust indicators.
  • Next steps and the follow-up plan.

Requirements

  • Basic familiarity with everyday workplace workflows (e.g., email, documents, meetings).
  • Desirable (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

Number of participants


Price per participant

Testimonials (4)

Upcoming Courses

Related Categories