Align AI with business strategy and prioritize high-value initiatives
This course introduces the fundamentals of artificial intelligence strategy in business. It helps participants identify opportunities for AI implementation, assess organizational challenges, and plan AI projects aligned with business objectives.
Is it for you ?
Executives, project managers, and innovation and transformation leaders.
Prerequisites
No technical prerequisites; familiarity with the company’s challenges and culture.
What You'll Walk Away With
- ✓ Analyze AI’s strategic positioning within the organization to guide decision-making
- ✓ Evaluate the return on investment of AI initiatives to support prioritization
- ✓ Identify differentiation opportunities enabled by AI adoption
- ✓ Prioritize AI projects based on business value and feasibility
- ✓ Build a clear AI roadmap with defined resource requirements
Training content
1 Vision, Positioning, and Value Creation
- Introduction to the 2026 technological landscape: Demystifying the AI landscape for executives, including the transition to Agentic AI models (autonomous systems).
- Strategic AI positioning analysis: Mapping your organization's value chain to identify areas for optimization.
- Data Governance and Security: Integrating critical concepts of Sovereign AI and local architectures to ensure compliance and protect strategic corporate information.
- AI Return on Investment (ROI): Establishing metrics and key performance indicators to evaluate short and medium-term profitability.
- Competitive differentiation: Using new technologies as a massive lever for differentiation in your market.
2 Planning, Deployment, and Implementation
- Prioritizing AI projects: Using decision matrices and recognized assessment frameworks (inspired by GenAIBIZ-type standards) to isolate high-value initiatives.
- Identifying necessary resources: Assessing precise infrastructure needs, auditing internal skills for development, and targeting the right external technology partners.
- Drafting a strategic roadmap: Structuring a sequenced and actionable action plan to deploy your initial use cases.
- Change management: Anticipating organizational roadblocks and preparing teams for this systemic transformation.
- Prioritizing AI projects, drafting a roadmap, identifying necessary resources.
Keep in Mind
Outils : Matrices de décision, frameworks d’évaluation, outils de planification stratégique.
📌 Practical information
Our training sessions are offered in Montreal or Quebec City, in person or in a virtual classroom. Dates and locations are specified when you select your session below. If you have any questions, check out our FAQ.
