Course Outline
Prerequisites
No technical background is necessary. It is helpful (but not required) to have basic familiarity with AI tools such as ChatGPT or Microsoft Copilot.
Target Audience
- Team Leaders and Middle Managers.
- Project and Product Managers.
- Heads of Departments (Operations, Customer Service, Sales).
- HR Business Partners (optional).
Introduction (Human Factors in AI Adoption)
- Why AI adoption often fails in real-world teams: it is about human factors, not just tools.
- Calibrating trust: avoiding under-reliance and over-reliance (addressing automation bias).
- Accountability: reinforcing that "AI can assist, but humans remain responsible."
1. Calibrated Reliance (Safe Usage in Daily Operations)
- Use-case boundaries: identifying what is suitable 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 Assurance Without Delays)
- Practical verification levels (light, standard, strict).
- Red flags: detecting hallucinations, outdated facts, missing sources, or sensitive content.
- Basics of "second source" verification and traceability (what to document).
3. Accountability and Decision Hygiene
- Ownership: clarifying who validates, who decides, and who signs off.
- Escalation triggers and decision thresholds.
- Decision logs: requirements for minimum evidence and documentation.
4. Team Agreements Workshop (Key Deliverable)
- Structure of working agreements: trigger, action, evidence, owner, and consequence.
- Examples for common workflows (emails, analysis, customer communications, internal documentation).
- Aligning agreements with corporate policy and confidentiality rules.
5. Trust and Psychological Safety
- Addressing common fears: job replacement, loss of competence, or loss of status.
- Managerial scripts: how to discuss AI without hype or causing panic.
- Navigating conflict patterns: managing "pro-AI" vs. "anti-AI" sentiments and de-polarizing the team.
6. Light Incident Response (AI Errors and Near-Misses)
- Categorizing incidents: low, medium, and high impact.
- Containing and communicating (internally and with customers as necessary).
- Continuous learning loop: updating agreements, templates, and rituals.
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 strategy.
Requirements
- A basic understanding of standard workplace workflows (email, documentation, meetings).
- Beneficial (but not mandatory): Previous experience with AI tools such as ChatGPT or Microsoft Copilot.
Target Audience
- Team Leaders and Middle Managers.
- Project and Product Managers.
- Heads of Departments (Operations, Customer Service, Sales).
- HR Business Partners.
Testimonials (3)
Provided and explained very clearly a lot of foundational concepts, which fit well with the team's level of learning. The exercises were very engaging and I believe my team were comfortable and participated very well. Coordinating with the trainer as well was very seamless.
Christlan Tolentino - Canadian Blood Services
Course - Critical Thinking
the exercises and the way the trainer was explaining
Sorana Haiduc - Ness
Course - Stress Management and Prevention
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.
