babymore87
MyBoerse.bz Pro Member
Agentic AI for Business Analysts Build & Govern AI Agents
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 7h 17m | Size: 2 GB
Go beyond ChatGPT prompts: specify, build and govern AI agents - 6 no-code agent projects for the modern BA role
What you'll learn
Tell a genuine AI agent apart from a chatbot, an RPA bot and a rules workflow, and pick the right one for the job
Run an agent discovery workshop and screen candidate processes with a six-question suitability test
Write an agent specification covering purpose, scope boundary, tools, decision rights, escalation and failure
Write acceptance criteria for output that varies between runs, using property-based and banded tolerance methods
Build six working AI agents with no-code tools, from a requirements assistant to a three-agent capstone
Design escalation paths and human-in-the-loop decision rights that hold up under real workload
Build a test set and evaluate agent quality with rubric scoring, pairwise comparison and model-graded checks
Red-team your own agent to find the prompts that make it break its own rules
Set up monitoring that catches drift, cost run-away and quality decay after go-live
Answer privacy, bias and accountability questions in a design review with specific, defensible positions
Assemble the evidence pack and rollback trigger a steering committee needs before approving go-live
Present agent work on your CV and in interview with evidence rather than tool names
Requirements
No coding experience required. No code is taught and none is needed for any of the six projects.
Some experience of business analysis, process work or requirements gathering will help you get more from it.
A free ChatGPT, Copilot or equivalent account to follow the build sections along with me.
A process you know well from your own work. You will use it throughout and leave with a specification for it.
Curiosity about how these systems fail. Half of this course is about failure, on purpose.
Description
This course contains the use of artificial intelligence.
AI is used to reframe the words, fixing spelling mistakes and grammatical mistakes and audio conversion.
Most AI courses for business analysts teach you to write user stories faster with ChatGPT. Useful for about six months. Then everyone can do it, and it stops being a skill worth paying for.This course teaches the work that replaced it. Software is filling up with agents that decide things - which claim to fast-track, which refund to approve, which credit file needs a human. Somebody has to work out where those agents belong, write down what they may and may not do, define what a wrong answer is, test something that gives a different answer each time, and stay accountable for it in production. That somebody is a business analyst. Almost nobody is teaching it.
You will start with what an agent actually is and how it works, in plain language and without code. Then the discovery skill: how to look at a process and tell whether an agent belongs there, including the four situations where the honest answer is no. Then the centre of the course - nine lectures on writing agent requirements, because 'the system shall' stops working the moment the system decides for itself. You will write boundaries, decision rights, escalation paths, failure definitions and acceptance criteria for output that varies every run. Then you build. Six working agents, no coding: a requirements assistant, a process discovery agent, a stakeholder update agent, a data quality agent, a traceability agent, and a three-agent capstone that takes a request from intake to backlog with a human approval gate. Each one ships with its specification, its prompt pack and its test set, so you leave with artefacts rather than notes.
The last three sections are the ones that keep you employed: testing something that does not repeat, red-teaming your own agent, and governing it after go-live - accountability, monitoring, drift, privacy, bias and where the rules are heading. I have spent twenty years on the receiving end of requirements documents, running automation programmes across manufacturing, pharma and e-commerce, finding out at go-live what the document left out. That is the perspective I teach from. You will hear what went wrong as often as what worked, including in the projects I built for this course.
No coding is required and none is taught. Bring a process you know well and you will leave with a specification for it. Start with Section 1.
Who this course is for
Business analysts, systems analysts and product owners whose organisations are starting agent projects
Business analysts worried their document-writing work is being automated and wanting the role that replaces it
Process analysts, business process owners and continuous improvement staff moving into AI delivery
Project managers and delivery leads who have to scope, govern or sign off agent work
IT business partners and solution consultants translating between business teams and AI build teams
Anyone who has been handed an agentic AI initiative and has no idea what to write down first
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