A two-day, hands-on programme for business analysts, product owners and requirements engineers. Apply AI to requirements elicitation, specification, process and data modelling, stakeholder communication and insight generation, then build and evaluate a requirements agent in a pre-configured lab. Every delegate leaves with a working requirements agent, a business analysis prompt library and a ninety-day plan for their role.
"Duplicates, conflicts, vague asks. Sorting the backlog is an agent waiting to be built. Putting the hard question to the stakeholder is still the analyst's job."
This two-day programme is built for business analysts and the product, requirements and delivery professionals who work on the same change. Business analysis produces the written record of that change: interview notes, requirement lists, user stories, process maps, data models, business cases and the summaries that keep stakeholders aligned. Generative AI drafts, structures, compares and summarises that record well, and an AI agent goes one step further: given a goal, it reads a raw backlog, applies the analysis rules, flags duplicates, conflicts and ambiguity, drafts the first user stories and hands the result to the analyst for review. The decisions that follow sit with the analyst: which work is handed over, under which rules, and on what evidence the result can be trusted in front of a stakeholder.
Day one establishes how generative AI works, takes every participant through structured prompting on their own analysis tasks, and applies AI across the business analysis lifecycle: elicitation and stakeholder communication, requirements specification and process documentation, and data modelling, analysis and insight generation. Day two moves from assistants to agents. Participants design and build a requirements analysis and user story agent on a customer portal backlog carrying realistic ambiguity and planted edge cases, instrument it and read its traces, metrics and costs, then set the rules under which AI-assisted analysis is acceptable in their organisation. The ninety-day plan closes the programme.
Every lab runs in a pre-configured cloud environment opened from a browser, with no software to install. Participants choose a visual build track or a coding-agent track, and each lab is verified against fixed acceptance criteria. Participants leave with a working requirements agent, a business analysis prompt library, an evidence pack of traces and metrics, governance starting points for AI in analysis work, and a ninety-day plan for their role. The programme finishes on where the field is heading: agentic AI, where an agent is given an analysis goal and plans and executes the work under the analyst's supervision, with context engineering, loop and graph engineering, agentic retrieval-augmented generation, the Model Context Protocol and multi-agent patterns.
This programme is designed for business analysis, product and delivery professionals across all industries:
By the end of this programme, participants will be able to:
Each module follows the TEA™ framework, twenty percent theory, twenty percent examples, sixty percent hands-on application on your own analysis work. Day one applies AI across the business analysis lifecycle; day two builds, evaluates and governs a requirements agent.
Whatever programme you choose, it follows three proven instructional frameworks, from design to delivery to evaluation.
Our signature approach structures every module into three phases for maximum retention and practical application.
The industry-standard model for course design and learning alignment.
The globally recognised four-level framework for measuring training effectiveness, from initial reaction to long-lasting post-training effects.
Private cohorts for business analysis and delivery teams, live online or on site. Schedule a TNA call and receive a custom proposal within 48 hours.
No vendor lock-in, no paywalled materials. Every delegate leaves with the working files, the templates, and the post-programme support to actually use them.
8 – 12 tested prompts built during the session on your actual work scenarios.
Dashboards, workflow templates, and evaluation frameworks ready to use.
Full soft copy of all session materials, handouts, and reference guides.
Certificate of Completion plus a guided pathway to the Google AI certificate.
Post-programme Q&A availability and implementation guidance.
Access to updated prompt libraries and resources as AI tools evolve.
Delivered at your offices or venue. Maximum engagement for teams of 8 – 25 participants. All exercises use your team's actual work scenarios.
Real-time delivery via Zoom, Meet, or Teams. Interactive breakout rooms, same content depth as in-person. Ideal for distributed teams.
Combine in-person and virtual sessions. Flexible scheduling across time zones. Pre-work materials and follow-up resources included.
104 courses in nine families, overview level, methodology up front.
Book a private programme for your analysis and delivery teams. Custom proposal within 48 hours. Delivery live online or on site.