Design the integration points between return on AI investment and the systems already in production.
Strategies for Realising Return on Artificial Intelligence Investment
An applied course in return on AI investment built around the decisions practitioners actually face.
📍 Tunis🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
The constraint on return on AI investment is rarely the model or the platform — it is the data and the operating discipline behind it. The distance between a working prototype of AI investment and a system the business can depend on is where most budgets disappear. Sessions alternate between guided analysis of the wider digital and data-driven work agenda and supervised application. The outcome is a practitioner who can hold a position on return on AI investment and revise it on evidence. It is pitched for practitioners with responsibility for this area of digital and data-driven work, not for observers of it. Teams frequently over-invest in documenting AI investment and under-invest in testing it. It concentrates on the parts of return on AI investment that determine outcomes and treats the rest proportionately. Mature organisations treat AI investment as a standing capability rather than a project that finishes. The final session converts the week's work on this part of digital and data-driven work into commitments with owners and dates.
Expected Learning Outcomes
Plan the migration path for AI investment without an extended outage or a parallel-running trap.
Structure records of return on AI investment so that they answer the questions an auditor will actually ask.
Specify the data AI investment depends on, where it originates and who is accountable for its quality.
Select indicators that show whether return on AI investment is improving, and reject those that only look useful.
Establish monitoring that detects model or service degradation in AI investment before users report it.
Distinguish the parts of return on AI investment that must be standardised from those that require judgement.
Who Should Attend
Public sector digital leads applying return on AI investment under procurement and privacy rules.
Vendor and contract managers overseeing suppliers involved in AI investment.
Chief information officers accountable for the investment in return on AI investment.
Solution architects designing how AI investment fits the existing estate.
Project and programme managers whose delivery depends on return on AI investment.
Managers with direct responsibility for AI investment within the transformation programme.
Course Modules
Return on AI investment: vendor selection and avoiding lock-in
2 sessions · 8 pointsSession 1The governance return on AI investment needs and the governance it does not
- Set the metrics that will show whether return on AI investment is drifting from its intended behaviour.
- Classify the data in AI investment and apply access controls that match the classification.
- Test the procedure for return on AI investment against a realistic scenario.
- Anticipate the objections AI investment will raise and prepare the answers.
Session 2Who answers for AI investment, and to whom
- Assess the regulatory obligations return on AI investment triggers in each jurisdiction.
- Remove steps in AI investment that add effort without adding assurance.
- Arrange the handover of return on AI investment so capability survives staff changes.
- Establish what evidence demonstrates AI investment is under control.
AI investment: governance, ethics and explainability
2 sessions · 8 pointsSession 1What to measure in AI investment and what to ignore
- Map the handovers in return on AI investment between functions and secure them.
- Plan how AI investment is versioned and how a bad release is rolled back.
- Measure the current quality of the data feeding return on AI investment before assuming it is usable.
- Prepare the response for the most likely failure in AI investment.
Session 2Where AI investment touches systems nobody wants to change
- Record what was learned when return on AI investment did not go as planned.
- Plan the sequence in which improvements to AI investment will be introduced.
- Review whether return on AI investment is aligned with the objectives of the transformation programme.
- Distinguish symptoms from causes when AI investment underperforms.
AI investment: people, skills and the change that follows
2 sessions · 8 pointsSession 1Choosing a supplier for AI investment without being captured
- Prepare the summary of return on AI investment that senior management will read.
- Agree the smallest change to AI investment that would be visibly useful.
- Identify the skills the team lacks to operate return on AI investment independently.
- Set the review interval for AI investment and who attends.
Session 2Escalation and decision rights in return on AI investment
- Record the rationale for each significant choice made about return on AI investment.
- Identify every system AI investment must read from or write to.
- Confirm the retention and deletion rules applied to data inside return on AI investment.
- Define the exit route from the supplier supporting AI investment.
AI investment: measuring benefit and retiring what it replaces
2 sessions · 8 pointsSession 1What breaks first when AI investment meets real volume
- List the data sources return on AI investment consumes and confirm each has a named owner.
- Agree who is on call for AI investment outside working hours.
- Design the pilot for return on AI investment so that a negative result is still useful.
- Define the service level AI investment must meet and what happens when it is missed.
Session 2Proving AI investment paid for itself
- Decide which legacy process return on AI investment retires, and set the date.
- Build the user briefing that explains what AI investment does and does not decide.
- Build the internal briefing that explains return on AI investment to those affected.
- Test AI investment against edge cases drawn from real historical records.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
We will contact you within one business day to confirm.