Course Outline
Prerequisites
No technical background is required. Desirable but not mandatory: basic familiarity with AI tools such as ChatGPT or Microsoft Copilot.
Target Audience
- Team Leaders and Middle Managers
- Project / Product Managers
- Department Heads (Operations, Customer Service, Sales)
- HR Business Partners (optional)
Introduction (Human Factors in AI Adoption)
- Reasons for AI adoption failure in real-world teams: human dynamics, not tool limitations.
- Trust calibration: balancing under-reliance versus over-reliance (automation bias).
- Accountability principle: "AI assists; humans remain responsible."
1. Calibrated Reliance (Safe Integration into Daily Work)
- Use-case boundaries: distinguishing appropriate from inappropriate AI usage.
- Stop rules: identifying when to pause, verify, or escalate.
- Common failure patterns and early warning signs.
2. Verification Standards (Maintaining Quality Without Slowing Down)
- Practical verification levels (light, standard, strict).
- Red flags: hallucinations, outdated facts, missing sources, sensitive content.
- Implementing the "second source" approach and understanding traceability basics (logging requirements).
3. Accountability and Decision Hygiene
- Ownership clarity: who validates, who decides, and who provides final sign-off.
- Escalation triggers and decision thresholds.
- Decision log requirements: minimum evidence standards and documentation.
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 regulations.
5. Trust and Psychological Safety
- Addressing common fears: job replacement, loss of competence, loss of status.
- Manager scripts: discussing AI effectively without hype or panic.
- Managing conflict patterns: bridging the gap between "pro-AI" and "anti-AI" factions to reduce polarization.
6. Light Incident Response (Handling AI Mistakes and Near-Misses)
- Classifying incidents by impact level (low/medium/high).
- Containment and communication strategies (internal teams and customers as necessary).
- The learning loop: updating agreements, templates, and rituals.
7. 30-Day Adoption Plan
- Establishing 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 planning.
Requirements
- Basic understanding of standard workplace workflows (email, documents, meetings).
- Desirable but not mandatory: prior experience with AI tools like ChatGPT or Microsoft Copilot.
Target Audience
- Team Leaders and Middle Managers
- Project / Product Managers
- Department Heads (Operations, Customer Service, Sales)
- HR Business Partners
Testimonials (4)
Meeting efficiency is something that's fairly "basic", but not thought about a lot and with really large implications on people/company time. Understanding these best practices and keeping them top-of-mind will be of immediate help.
Dan Moffatt - Chris Courtemanche
Course - Personal Efficiency and Managing Meetings
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
I especially appreciated the instructor’s ability to give thorough, well-explained answers to questions specific to my personal situation.
HASAN TAHA URLU - Huber Turkiye
Course - Assertiveness
the exercises and the way the trainer was explaining
