Business Impact with AI

Empower professionals to lead with agentic and generative AI, unlock cross-functional value, and drive ethical transformation across your organisation. Developed with Imperial, supported by Microsoft, built to deliver ROI from day one.
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Turn AI’s potential into business impact

AI is the future of competitive advantage. Business Impact with AI equips ambitious professionals to implement real-world, ROI-driving AI strategies, bridging the gap between technical possibility and business transformation. Learn hands-on with agentic and generative AI tools from Microsoft. 

Business impact This programme will:

Build and scale high-impact

AI initiatives with measurable ROI

Lead ethical AI adoption

with strong governance frameworks

Embed AI into decision-making

across functions and teams

Drive innovation to

reduce inefficiencies, and improve strategic outcomes

Programme summary

  • Duration: 13 months + End Point Assessment (EPA)
  • Delivery: Online workshops, business projects, coaching + Microsoft badges
  • Who it’s for: Experienced professionals in non-technical roles: managers, analysts, strategists, directors
  • Accreditation: Delivered in collaboration with Imperial College London and supported by Microsoft
  • Facilitators: Industry-leading experts in AI, change leadership, and business transformation 
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Programme curriculum

Unit 1: Business transformation in the AI Era

Develop a strategic understanding of AI’s role in modern business transformation. Learn to identify high-value AI opportunities that align with organisational goals while mastering both generative and agentic AI fundamentals. This unit builds the essential foundation for effective AI implementation, equipping you to articulate how AI creates tangible business value across functions.

Unit 2: Ethical AI decision-making

Master frameworks for implementing AI responsibly across your organisation. Explore ethical considerations including data governance, bias mitigation, and regulatory compliance while developing practical approaches for appropriate human oversight of AI systems. This unit ensures you can confidently address the critical ethical dimensions that underpin successful AI adoption.

Unit 3: Data literacy for AI-enabled innovation

Build the essential data capabilities needed to drive successful AI initiatives. From foundational data concepts to machine learning basics for non-technical professionals, you’ll develop the skills to effectively collaborate with data specialists and evaluate AI solutions. Learn to assess data quality, understand data flows in intelligent systems, and communicate insights effectively.

Unit 4: Stakeholder engagement for AI change

Develop strategies for building trust and securing buy-in for AI transformation. Learn to identify and analyse key stakeholders, communicate AI benefits effectively, and address resistance to adoption. This unit equips you with techniques for facilitating productive AI-focused workshops and designing human-agent interactions that build confidence and engagement.

Unit 5: Requirements definition for AI solutions

Master specialised techniques for gathering, documenting and validating requirements for AI projects. Learn to balance technical feasibility with business needs while defining clear boundaries for AI autonomy and human oversight. This unit ensures your AI initiatives deliver solutions that truly address organisational challenges while maintaining appropriate control.

Unit 6: Business process transformation with AI

Identify and implement high-impact process improvements using AI technologies. Learn business process modelling techniques, discover automation opportunities, and develop frameworks for measuring AI’s impact on efficiency and effectiveness. This unit provides practical approaches to redesigning workflows with AI integration for maximum business value.

Unit 7: Solution assessment and value realisation

Develop robust frameworks for evaluating AI solutions and measuring their business impact. Learn to conduct comprehensive cost-benefit analyses, establish meaningful success metrics, and implement continuous improvement cycles for AI initiatives. This unit ensures you can demonstrate clear ROI and maintain stakeholder confidence throughout implementation.

Unit 8: Leading change for AI transformation

Build the leadership capabilities needed to drive successful AI adoption across your organisation. Learn to address AI-specific change challenges, develop appropriate capability-building strategies, and create a culture that embraces intelligent technologies. This unit provides practical approaches for scaling adoption and managing transitions to more autonomous operations.

Unit 9: Project management for AI implementation

Master specialised project management approaches for AI initiatives. Compare agile and waterfall methodologies for AI delivery, develop effective planning and risk management strategies, and implement appropriate governance frameworks. This unit ensures you can successfully navigate the unique challenges of AI project delivery while maintaining quality and compliance.

Unit 10: Strategic AI implementation and business value

Align AI initiatives with organisational strategy to maximise competitive advantage. Learn to develop compelling business cases, build comprehensive AI roadmaps, and measure strategic impact effectively. This unit brings together all previous learning to ensure you can lead transformative AI adoption that delivers sustainable business value.

End point assessment

Final assessment of knowledge, skills, and behaviours developed throughout the programme. Learners will complete their portfolio, project report, and professional discussion. 

Expert-led AI coaching Delivered by experts – is at the heart of the Corndel experience

Throughout the programme, learners are supported by Professional Development Experts (PDEs) – specialist coaches in AI, business transformation, and behaviour change. With high-touch support and real-world experience, they help learners unlock confidence, build capability, and embed AI in their roles from day one. 

Dr. Peter Baksh

Dr Peter Baksh, who holds a PhD in Physics and PGCE in Education, brings industry-leading machine learning expertise from both government and private defence sectors, along with AWS and Microsoft certifications in AI and ML. As Data PDE, he leads global analytics programs while bringing proven expertise in scaling AI solutions. In addition to his education work at Corndel, he develops AI solutions, combining theoretical depth with practical implementation expertise.
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Joe Watkins

Joe Watkins has PhD in Mathematics, BSc in Mathematics. Joe has 10 years lecturing and mentoring experience in Mathematics, and running Outreach programmes and sessions in STEM subjects. Joe has experience in the charitable and health sectors as a systems architect and data analyst.

Built for impact. Focused on people.

Human-first, tech-powered: We combine advanced tech with coaching to spark mindset shifts. 

Real outcomes: Learners complete real AI implementation projects with proven ROI. 

World-class partners: Imperial College London and Microsoft. 

Adoption that sticks: High-touch support ensures ethical, confident, lasting transformation. 

Data-driven: We build data literacy alongside AI to ensure responsible implementation. 

Career-accelerating: 86% of learners progress in their career or life goals post-programme 

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Dr. Peter Baksh

Dr Peter Baksh, who holds a PhD in Physics and PGCE in Education, brings industry-leading machine learning expertise from both government and private defence sectors, along with AWS and Microsoft certifications in AI and ML. As Data PDE, he leads global analytics programs while bringing proven expertise in scaling AI solutions. In addition to his education work at Corndel, he develops AI solutions, combining theoretical depth with practical implementation expertise.