Course Outline
Prerequisites
No technical background 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: human factors, not tools
- Trust calibration: under-reliance vs over-reliance (automation bias)
- Accountability: “AI can assist, humans remain responsible”
1. Calibrated Reliance (Safe Use in Daily Work)
- Use-case boundaries: what is appropriate for AI, what is not
- 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- Red flags: hallucinations, outdated facts, missing sources, sensitive content
- “Second source” and traceability basics (what to log)
3. Accountability and Decision Hygiene
- Ownership: who validates, who decides, who signs off
- Escalation triggers and decision thresholds
- Decision log: minimum evidence and documentation
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
- Typical fears: replacement, loss of competence, loss of status
- Manager scripts: how to talk about AI without hype or panic
- Conflict patterns: “pro-AI” vs “anti-AI” and how to de-polarize
6. Light Incident Response (AI Mistakes and Near-Misses)
- Classify incidents: low/medium/high impact
- Contain and communicate (internally and with customers when needed)
- Learning loop: update agreements, templates, and rituals
7. 30-Day Adoption Plan
- Team rituals: weekly check-in, prompt review, incident review, decision review
- Metrics that matter: adoption quality, rework, escalations, trust indicators
- Next steps and follow-up plan
Requirements
- Basic familiarity with everyday workplace workflows (email, docs, meetings).
- Helpful (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
Testimonials (4)
The connection with the trainer and the people.
Cristiana Dragoescu - Ness
Course - Stress Management and Prevention
Body scan
Piotr Chwiedziewicz - Grupa OLX
Course - Mindfulness for Business Professionals
It was nice to know more about EQ
Itzel Hernandez Diaz
Course - Emotional Intelligence (EQ)
SMART Goal session was the most enjoyable part of the training that helped me manage my time properly. it helps me set my goal clearer and i could really see that setting SMART Goal can relate to almost everything such as Finance, Social Life, Career and Personal Growth.