The British Academy for Training and Development offers the Build and Execute an Organisational AI Strategy training course. The course provides understanding of defining AI strategy goals according to business objectives and assessing the state of readiness for AI in an organisation. It will develop an AI implementation roadmap with a focus on project timelines, governance and success metrics. The training investigates how to evaluate AI use cases, which ones being the highest impact areas across departments such as operations, marketing, and customer service.

Attendees will gain insights into data infrastructure and governance in terms of data quality, security and compliance for success in AI. The course also centres on how to create cross-functional AI teams, leading through change and fostering a culture of innovation that relies on continuous adoption of AI.

Attendees will study AI risks and ethical considerations, learning to mitigate biases, ensure transparency, and align with regulations. Finally, the course will guide managers on how to measure AI performance and ROI, ensuring continued strategic alignment and scalability.

Managers will have the authority to create and implement a scalable, moral, and business-aligned AI strategy, turning their businesses into AI-driven.

Objectives:

By the end of the course, attendees will be able to:

• To train managers to design and implement a practical AI strategy consistent with the aims of their company.

• Help attendees to understand the potential, hazards, and ethical systems for artificial intelligence inside a business setting.

• To give professionals skills to assess applications of artificial intelligence, calculate return on investment, and promote widespread use.

• Cross Functional teams, data governance systems, and implementation roadmaps will help companies to be directed.

• To help teams and divisions develop change management and AI leadership skills.

Who Should Attend?
This course is perfect for:

• Managers from mid-level to senior level searching to direct or enable artificial intelligence transformation.

• Officials looking for planned implementation of artificial intelligence strategies and invention.

• Project managers and business experts working on artificial intelligence integration initiatives.

• CIOs, data officers, and digital transformation leaders trying to match artificial intelligence projects with business strategy.

• Professionals in operations, marketing, human resources, finance, or customer service considering AIdriven enhancements.

How Will Attendees Benefit?
At the end of the course attendees will gain many benefits:

• Strategic thinking: Attendees will get a strong basis in creating and executing AI plans straight geared with organisational objectives, therefore giving them a competitive edge in digital transformation initiatives.

• Practical framework: Attendees will depart with ready-to-use tools and defined frameworks for spotting AI opportunities, assessing hazards, and developing unique implementation plans.

• Cross-Functional Collaboration: Attendees will learn how to collaborate across departments bridging technical, operational, and executive teams to promote the successful use of artificial intelligence.

• Leading and Change Management: With assurance, managers will be empowered to lead AI projects and shepherd their staff through the cultural and practical transitions of AI.

• Ethics and Governance Awareness: The course will sharpen awareness of critical AI ethics, bias reduction, and regulatory compliance so that AI is responsibly deployed in practical contexts.

• Focus on Better ROI: Attendees will be able to gauge the success of artificial intelligence initiatives, monitor ROI, and what works transforming projects into complete organisational strategies.

• Confidence in Decision-Making: Attendees will be better equipped to make more informed, data-driven decisions within their leadership positions by appreciating the hazards, capabilities, and business impact of artificial intelligence.

1. Introduction to Organisational AI Strategy

• What is an AI strategy and why it matters

• Strategic alignment with business vision

• Key components of a successful AI strategy

2. Defining AI Goals and Business Objectives

• Setting measurable AI objectives

• Aligning AI initiatives with long-term business priorities

• Identifying KPIs and success factors

3. Organisational AI Readiness Assessment

• Evaluating current infrastructure, culture, and skillsets

• Maturity models and readiness checklists

• Identifying gaps and opportunities

4. Identifying and Evaluating AI Use Cases

• Use case discovery methods

• High-impact functions and departments

• Prioritising based on value and feasibility

5. Data Strategy and Governance

• Role of data in AI success

• Data availability, quality, and integration

• Governance, compliance, and ethical data use

6. Designing the AI Implementation Roadmap

• Project planning and resource allocation

• Building timelines and governance structures

• Change management and stakeholder engagement

7. Building AI Teams and Culture

• Structuring AI teams (technical and business roles)

• Recruiting and reskilling talent

• Fostering innovation and AI adoption culture

8. Risk Management and AI Ethics

• Addressing bias, transparency, and accountability

• Regulatory considerations and compliance

• Creating ethical AI frameworks

9. Measuring ROI and Scaling AI Initiatives

• Defining and tracking key metrics

• Tools for measuring AI impact

• Scaling pilot projects into enterprise-wide strategies

10. Case Studies and Practical Application

• Real-world examples of AI strategies in business

• Successes, failures, and lessons learned

• Group exercises and action planning for your organisation