IIBA Endorsed Certificate in AI Enabled Innovation
- Identify AI innovation opportunities by analysing processes, customer journeys and pain points.
- Frame an AI opportunity as a clear problem statement with measurable desired outcomes.
- Assess data availability, quality and feasibility for a proposed AI solution.
- Define requirements and acceptance criteria for an AI solution including accuracy thresholds and human oversight.
- Build a value realization plan that tracks benefits after the solution is deployed.
- Business Analysis and AI Innovation
- The evolving role of the business analyst
- BABOK Guide knowledge areas applied to AI
- Types of AI-enabled innovation
- Opportunity Discovery
- Design thinking and journey mapping
- Process analysis for AI opportunities
- Opportunity canvases and prioritization
- Problem Framing and Feasibility
- Writing AI-ready problem statements
- Data readiness assessment
- Technical and organizational feasibility
- Requirements for AI Solutions
- Functional and non-functional requirements
- Accuracy thresholds and acceptance criteria
- Explainability and human oversight requirements
- Prototyping and Validation
- Rapid prototyping with AI tools
- Experiment design and pilot evaluation
- Stakeholder feedback and iteration
- Value, Risk and Change
- Benefit measurement and value realization
- Ethical and regulatory risk assessment
- Communicating trade-offs to decision makers
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Program Professional Framework
IIBA Endorsed Certificate in AI Enabled Innovation
Program Overview
Business analysts are increasingly expected to identify where AI can create new value, not only to document requirements for existing systems. This program applies business analysis practice, in line with the BABOK Guide knowledge areas, to AI-enabled innovation: discovering opportunities through design thinking and process analysis, framing problems AI can address, assessing data readiness and feasibility, defining requirements and acceptance criteria for AI solutions, and measuring realized value. Participants also learn to elicit needs from stakeholders who are new to AI and to communicate trade-offs around accuracy, risk and ethics.
Learning Outcomes
- ✓Identify AI innovation opportunities by analysing processes, customer journeys and pain points.
- ✓Frame an AI opportunity as a clear problem statement with measurable desired outcomes.
- ✓Assess data availability, quality and feasibility for a proposed AI solution.
- ✓Define requirements and acceptance criteria for an AI solution including accuracy thresholds and human oversight.
- ✓Build a value realization plan that tracks benefits after the solution is deployed.
Target Audience
- Business analysts and business architects
- Product owners and innovation managers
- Process improvement specialists
- Digital transformation consultants
Detailed Program Modules
01Business Analysis and AI Innovation
- The evolving role of the business analyst
- BABOK Guide knowledge areas applied to AI
- Types of AI-enabled innovation
02Opportunity Discovery
- Design thinking and journey mapping
- Process analysis for AI opportunities
- Opportunity canvases and prioritization
03Problem Framing and Feasibility
- Writing AI-ready problem statements
- Data readiness assessment
- Technical and organizational feasibility
04Requirements for AI Solutions
- Functional and non-functional requirements
- Accuracy thresholds and acceptance criteria
- Explainability and human oversight requirements
05Prototyping and Validation
- Rapid prototyping with AI tools
- Experiment design and pilot evaluation
- Stakeholder feedback and iteration
06Value, Risk and Change
- Benefit measurement and value realization
- Ethical and regulatory risk assessment
- Communicating trade-offs to decision makers
Training Methodology
Applied Project & Assessment
Applied Project
Participants develop an AI innovation proposal for a business area: opportunity analysis, problem statement, feasibility and data assessment, key requirements with acceptance criteria and a value realization plan.
Assessment
Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.


