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Your organisation knows it needs to do something with AI—but where can it genuinely add value, and how will you know whether it’s working?
In this course, you’ll learn to identify which workplace tasks are suited to AI, recognise where the risks are too high and determine when human judgement must remain central. You’ll then assess whether an AI opportunity can improve productivity, quality, cost or other meaningful business outcomes—not simply increase activity.
You’ll finish with an AI Opportunity Analysis and an AI Business Value Analysis, both based on a real process from your own workplace.
This TSIBA course is delivered in partnership with Alwin Education Ltd. Alwin Education is a UK based digitally native network of locally accredited higher-education institutions that focus on expanding access, strengthening quality, and aligning every programme to labour-market demand. This course is aimed at giving working professionals a practical, career-focused learning experience underpinned by rigorous academic standards.
An AI Opportunity Analysis setting out the problem, the intended outcome, where AI could help, what it should not touch and where human judgement stays essential — and an AI Business Value Analysis carrying measures, current and intended state, an estimated impact and a clear recommendation. Both are built against a template and rubric, and both are yours to keep.
You work through the features that decide it — repetition, data quality, risk, judgement, how often the task changes — and whether the information involved can appropriately be shared with the tool you actually have access to, so you can say why a task fits or does not.
Common limitations such as inaccuracy, bias, missing context and overconfidence, and how to sort the situations that need review, oversight and accountability from the ones that do not.
Choosing measures that show whether work outcomes actually improved, separating productivity gains from broader business value, comparing current state against intended state, and estimating impact with the assumptions and limitations stated.
You know AI is a business priority, but you need a practical way to identify where it could genuinely improve a workplace process—and where it would add little value or too much risk.
You need to assess a proposed tool or use case and explain its potential value in credible business terms, including its likely impact on productivity, quality, cost or revenue.
AI adoption may be growing, but you cannot yet show whether it is improving the work. You need meaningful measures, appropriate boundaries and a clear recommendation on what to continue, change or stop.
Orientation module + 2 modules. Each module runs one week at 2-4 hours.
You start with what AI is actually used for in workplace processes — drafting, summarising, organising information, searching, spotting patterns — then move to the harder question of fit: which tasks suit it, which are a partial fit, and which are a poor or high-risk candidate. You work through where human judgement has to remain central because of ethics, quality, accountability or impact on other people, and what information can and cannot appropriately be entered into the tool available to you, including the difference between a personal account and one your organisation manages.
Output: a structured AI Opportunity Analysis for a workplace process.
This half is about proof. You learn to choose measures that show whether work outcomes genuinely improved rather than measures that are simply easy to count, and to separate a productivity gain from broader business value in quality, cost, revenue or capability. You then map a process as it runs today against the state you intend, estimate the direction and size of the change for one or two measures, and check whether the evidence and assumptions behind that estimate are strong enough to support a recommendation.
Output: an AI Business Value Analysis with measures, expected impact and a recommendation
An AI Opportunity Analysis and an AI Business Value Analysis, both built on a process from your own workplace
| Item | Detail |
|---|---|
| Total course fee | R990 |
| Included | All course materials |
| Group / employer enrolment | Price determined by group size |
Build on the foundations of the two-week course with a deeper, six-week programme. Assess the risks, create a verification plan and develop a complete, evidence-based AI Business Case—ready to support a decision to proceed, revise or stop a real AI application.
This course is launching soon. Leave your details and we'll let you know as soon as it's open for enrolment.
By submitting this form, you consent to TSIBA processing your information in accordance with POPIA and our Privacy Policy.Most organisations are carrying the same unmeasured risk from two directions. AI is being used in places nobody has assessed, on information nobody has checked, and it is not being used where it would actually help — because there is no shared way of deciding which is which. The cost shows up late, either as a mistake that traces back to an unverified output or as a year of spend with nothing to show for it.
Talk to Us About CohortsEach participant produces an AI Opportunity Analysis and Business Value Analysis for a real process, showing where AI fits, where human judgement remains essential and the evidence behind their recommendation.
2 to 4 hours a week, fully online, across two weeks. No travel, no days out of the business, no cover to arrange.
Build a shared approach to assessing AI opportunities, managing information safely and measuring real business value—turning scattered experiments into governable decisions.
Anytime - this is a self-paced micro course with no fixed intake dates. Enrol and begin your orientation module whenever suits you.
2-4 hours a week across 2 weeks, plus an orientation module. Fully online.
Yes - cohorts can be enrolled for a team. Group pricing determined by group size.
