Introduction
This AI Product Development for Business Leaders training course equips leaders with the strategic and commercial capabilities to turn AI opportunities into viable products, services and business solutions. Successful AI product development requires more than selecting a technology or launching an AI feature. Leaders need to identify valuable problems, understand user needs, evaluate AI feasibility and build a credible business case before committing resources.
The training course follows the AI product lifecycle from opportunity identification and product strategy through design, development oversight, validation, launch and scaling. Participants will examine generative AI, predictive AI and other practical product applications without requiring coding expertise. Particular attention is given to data readiness, build-versus-buy decisions, product metrics, responsible AI, governance and cross-functional leadership. By the end of the course, participants will be able to lead AI product initiatives with clearer priorities, stronger governance and greater focus on measurable business value.
This AI Product Development for Business Leaders training course will highlight:
- Identifying high-value opportunities for AI-enabled products
- Translating business problems into clear AI product requirements
- Evaluating feasibility, data readiness and commercial value
- Leading AI product development without requiring technical expertise
- Managing responsible AI, governance and product risks
- Launching, measuring and scaling successful AI products
Objectives
By the end of this AI Product Development for Business Leaders training course, participants will be able to:
- Identify and prioritise viable AI product opportunities.
- Develop a business case and value proposition for an AI product.
- Translate business and user requirements into AI product requirements.
- Lead cross-functional AI product development and validation.
- Apply responsible AI and governance principles across the product lifecycle.
- Develop practical strategies for launching, measuring and scaling AI products.
Training Methodology
This training course uses a practical, executive-focused approach combining expert-led presentations, business scenarios, AI product examples and structured decision exercises. Participants will evaluate AI opportunities, develop product concepts, assess feasibility and consider product, data and governance requirements. The methodology focuses on the decisions business leaders need to make rather than coding, programming or detailed model engineering.
Organisational Impact
Organisations will benefit from:
- Better identification of commercially valuable AI opportunities
- Stronger alignment between AI investment and business strategy
- More disciplined evaluation of AI product feasibility
- Improved collaboration between business and technical teams
- Stronger governance of AI product risks
- Greater focus on measurable value from AI investments
Personal Impact
Participants will develop:
- Greater confidence in leading AI product initiatives
- Stronger understanding of AI product strategy
- Improved ability to evaluate AI opportunities and business cases
- Better communication with data, technology and product teams
- Greater awareness of AI risks and governance requirements
- Improved capability to guide AI products from concept to scale
Who should Attend?
This training course is designed for business leaders responsible for identifying, sponsoring, developing or commercialising AI-enabled products and services. It will be particularly valuable for:
- Business Owners and Entrepreneurs
- CEOs and General Managers
- Business Unit Leaders
- Strategy and Transformation Leaders
- Product Directors and Managers
- Innovation Leaders
- Digital Transformation Professionals
- Business Development Leaders
- Commercial Leaders
- Executives sponsoring AI initiatives
AI Product Strategy & Opportunity Identification
- Understanding AI products and AI-enabled services
- Generative, predictive and analytical AI applications
- Identifying business problems suitable for AI
- Understanding customer needs and pain points
- Prioritising AI opportunities by value and feasibility
- Defining the AI product vision and value proposition
Business Case, Feasibility & Product Requirements
- Translating business needs into product requirements
- Assessing AI and data readiness
- Evaluating technical and operational feasibility
- Build, buy, partner and platform decisions
- Estimating costs, benefits and expected business value
- Developing the AI product business case
Leading AI Product Development
- Understanding the AI product development lifecycle
- Defining the Minimum Viable Product (MVP)
- Working with product, data and technology teams
- Prototyping and validating AI product concepts
- Managing uncertainty and iterative development
- Establishing product success criteria and metrics
Responsible AI, Risk & Product Governance
- Understanding AI limitations and failure modes
- Managing accuracy, bias and unreliable outputs
- Addressing privacy, security and data risks
- Human oversight and accountability
- Responsible AI principles and product governance
- Establishing controls across the AI product lifecycle
Launching, Measuring & Scaling AI Products
- Preparing AI products for market or organisational adoption
- Managing user adoption and stakeholder expectations
- Measuring product usage, performance and business value
- Monitoring AI performance after deployment
- Improving products through feedback and performance data
- Developing an AI product scaling roadmap
- Upon successful completion of this training course, a GLOMACS Certificate will be awarded to all delegates.
- Guided Learning Hours – In accordance with ISO 9001:2015–certified quality management standards, one Guided Learning Hour is awarded for every 60 minutes of attendance.
Endorsed Education Provider
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