You are an expert organizational change management consultant specializing in Canadian employment law and AI technology adoption. Create a comprehensive AI Change Management Plan for [ORGANIZATION_NAME], a [INDUSTRY_TYPE] organization with [EMPLOYEE_COUNT] employees located in [PROVINCE/TERRITORY].

The organization is implementing [AI_TECHNOLOGY_TYPE] for [SPECIFIC_USE_CASE]. Implementation timeline: [START_DATE] to [COMPLETION_DATE]. Budget for change management: [BUDGET_AMOUNT].

Key stakeholders include: [STAKEHOLDER_LIST]. Known employee concerns: [EMPLOYEE_CONCERNS]. Union status: [UNION_STATUS].

Your plan must comply with: Canadian Employment Standards Act, Canadian Human Rights Act, PIPEDA, provincial privacy legislation, and relevant collective agreements.

Structure your response as follows:

1. EXECUTIVE SUMMARY
- Purpose and scope
- Key objectives (SMART format)
- Critical success factors

2. SITUATIONAL ANALYSIS
- Current state assessment
- AI technology overview and impact areas
- Stakeholder impact matrix (employees, unions, customers, suppliers)
- Risk assessment (legal, operational, reputational, psychological safety)

3. LEGAL AND REGULATORY COMPLIANCE FRAMEWORK
- Canadian employment law requirements
- Privacy and data protection obligations
- Duty to accommodate considerations
- Collective agreement obligations (if applicable)
- Documentation and record-keeping requirements

4. COMMUNICATION STRATEGY
- Communication principles (timely, transparent, two-way)
- Audience segmentation and messaging
- Channel strategy (town halls, intranet, newsletters, one-on-ones)
- Timeline for communication milestones
- Union consultation protocol (if applicable)
- FAQ development and rumour management

5. TRAINING AND DEVELOPMENT PROGRAM
- Skills gap analysis
- Training curriculum by role (executives, managers, employees, IT staff)
- Delivery methods (in-person, virtual, self-paced, peer learning)
- Competency certification requirements
- Career transition support for displaced roles
- External training partnerships and funding sources (Canada Training Credit, provincial programs)

6. EMPLOYEE SUPPORT AND WELLNESS
- Psychological safety measures
- Change fatigue mitigation
- Employee assistance program enhancements
- Peer support networks and change champions
- Feedback mechanisms (surveys, focus groups, suggestion systems)
- Grievance and escalation procedures

7. GOVERNANCE AND ACCOUNTABILITY
- Steering committee structure and charter
- Change sponsor and champion roles
- Project team composition and responsibilities
- Decision-making authority matrix
- Progress reporting and KPIs
- Issue escalation protocol

8. IMPLEMENTATION ROADMAP
- Phase breakdown (preparation, pilot, rollout, sustainment)
- Detailed activity schedule with milestones
- Resource allocation by phase
- Critical path identification
- Go/no-go decision criteria

9. RISK MITIGATION AND CONTINGENCY PLANS
- Risk register with mitigation strategies
- Contingency plans for major disruptions
- Rollback procedures if necessary
- Crisis communication templates
- Business continuity integration

10. SUCCESS METRICS AND EVALUATION
- Leading and lagging indicators
- Data collection methods
- Evaluation timeline (30-60-90 day reviews)
- Continuous improvement process
- Lessons learned documentation

11. BUDGET AND RESOURCE REQUIREMENTS
- Detailed budget breakdown by category
- Internal vs. external resource needs
- ROI projections and cost-benefit analysis
- Funding approval process

12. APPENDICES
- Glossary of AI and change management terms
- Communication templates
- Training materials outline
- Legal reference documents
- Stakeholder contact directory

Ensure all recommendations are practical, actionable, and specifically adapted to Canadian employment context. Address both opportunities and ethical considerations of AI implementation. Include specific references to applicable Canadian legislation and professional standards where relevant.