Get in Touch

Course Outline

Prerequisites

No technical background is required. Helpful but 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: focusing on human factors rather than tools.
  • Trust calibration: balancing under-reliance and over-reliance (automation bias).
  • Accountability: "AI assists, but humans remain responsible."

1. Calibrated Reliance (Safe Use in Daily Work)

  • Use-case boundaries: distinguishing appropriate vs. inappropriate AI applications.
  • 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  • Red flags: hallucinations, outdated facts, missing sources, sensitive content.
  • "Second source" and traceability basics (what to log).

3. Accountability and Decision Hygiene

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

4. Team Agreements Workshop (Core Deliverable)

  • Working agreement structure: trigger, action, evidence, owner, consequence.
  • Examples for common workflows (emails, analysis, customer comms, internal docs).
  • 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: discussing AI without hype or panic.
  • Conflict patterns: "pro-AI" vs. "anti-AI" dynamics and de-polarization strategies.

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

  • Classifying incidents: low/medium/high impact.
  • Containment and communication (internally and with customers when necessary).
  • 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 plan.

Requirements

  • Basic familiarity with daily workplace workflows (email, documents, meetings).
  • Helpful but not required: Prior exposure to AI tools like 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