Intelligent Automation: RPA, Process Mining & AI Agents for Operations
Automating a bad process does not fix it — it produces bad outcomes faster, at scale, with nobody watching. The organisations winning with automation share one discipline: they understand the process before they automate it — this programme teaches that discipline.
Format
Classroom · Virtual
Upcoming sessions
Pick a session to applyADMISSIONS OPENThe programme
Every operations leader faces the board question: what are we automating, and why is it taking so long? This three-day programme equips participants to answer credibly, tied to no vendor. Serious automation begins with candidate selection: criteria separate processes worth automating from those needing redesign first, and process mining reveals from system logs how work flows — variants and rework. The programme maps the technology landscape honestly: where RPA earns its keep, when an API integration beats a robot, what AI agents add — and the failure modes and hallucination risks making governance non-negotiable. Participants build a business case with defensible benefits and design human-in-the-loop controls: which decisions stay human, how exceptions escalate, how automation is monitored, audited, switched off. It pairs with a business process improvement course and runs best in-house, where a leadership and operations group leaves with a prioritised automation pipeline for its organisation. Delivered in English and French across the Middle East and Africa — Dubai, Riyadh, Nairobi, Johannesburg, Cairo — and live online.
What you will do
Who attends
Operations, shared-services and back-office leaders weighing automation investments; process excellence and continuous improvement professionals extending their toolkit into automation; transformation, digital and innovation managers who must arbitrate between vendors’ claims; finance, HR and supply-chain managers whose processes are automation targets; and IT business partners who translate between operations and engineering. The programme is strictly vendor-neutral and no coding is involved — it is about deciding, governing and sequencing, and it works particularly well for an in-house cross-functional group building a shared automation pipeline.
Programme agenda
Built for the decisions no textbook prepares you for
I.The automation landscape, honestly drawn
- RPA, API integration, workflow and AI agents: what each is, costs and breaks
- What the last decade of RPA taught the industry — and the mistakes now repeating with AI
- Reading vendor claims: the questions that separate capability from demo
II.Selecting what to automate
- Candidate criteria: volume, stability, rule-clarity, data quality and exception rates
- Redesign first or automate first: the decision that determines the return
- Building and scoring a candidate pipeline your stakeholders trust
III.Process mining: the truth from the logs
- How process mining works: event logs, variants and the process as it actually runs
- Reading the spaghetti: rework loops, deviations and conformance gaps
- From insight to action: turning mining output into automation and improvement decisions
IV.AI agents in operations
- What agents genuinely add beyond RPA: judgement-shaped tasks, language and unstructured work
- Failure modes: hallucination, drift and the confident wrong answer at scale
- Where agents belong today — and the deployments that should wait
V.The business case
- Benefit logic that survives finance: hours, error cost, cycle time and capacity released
- Full costing: licences, build, maintenance, exceptions and the run team
- Benefits realisation: measuring what was promised after go-live, not before
VI.Human-in-the-loop governance & the roadmap
- Decision rights: what stays human, what escalates and who owns the automated process
- Monitoring, audit trails and the controlled off-switch every automation needs
- Your automation roadmap: sequencing, capability building and the operating model
Frequently asked
Is the programme tied to a specific automation vendor or platform?
No — it is strictly vendor-neutral. The programme maps the technology landscape on merit: where RPA earns its keep, when an API integration beats a robot, and what AI agents genuinely add. It also teaches you to read vendor claims — the questions that separate real capability from a polished demo.
Do I need a technical background — is there any coding?
No coding is involved. The programme is about deciding, governing and sequencing automation, not building it: selecting candidates with discipline, reading process-mining output, constructing the business case and designing human-in-the-loop controls. It is written for operations, transformation, finance, HR and supply-chain leaders as much as for IT business partners.
Does it cover AI agents as well as RPA and process mining?
Yes. A dedicated module examines what agents genuinely add beyond RPA — judgement-shaped tasks, language and unstructured work — alongside their failure modes: hallucination, drift and the confident wrong answer at scale. You learn where agents belong today, which deployments should wait, and the governance every agent needs.
Can it be delivered in-house for a cross-functional group?
Yes — that is where it works best. A private edition is tailored to your institution, and a leadership and operations group leaves with a prioritised automation pipeline for its own organisation. Delivery is in English and French on a rolling calendar; dates and fees are provided on enquiry.
Who teaches this
Practitioners, not presenters.
Led by practitioners who have run operations, projects and transformation programmes at enterprise scale, including former and serving chief operating officers and heads of programme delivery, and who advise on operating models between cohorts. They teach execution as they have practised it: cadence, cost and the front line.
What the bench brings
- Integrated quality, safety and environmental systems
- Structured problem-solving and root-cause analysis
- Process design and operating-model decisions
- Execution cadence: metrics and reviews that move behaviour
- Enterprise-wide digital transformation in banking
- Core-banking transformation and programme delivery
Where they have practised
Current and former practitioners — people who hold the seat today alongside those who have held it.
Sectors: Banking & financial services · Technology & fintech · Oil & gas · Manufacturing & industry
Regions: Africa · the Middle East · Europe · Asia · the Americas
How they teach
- Case studies of real programmes and operating models
- Scenario exercises and group problem-solving
- Role plays of steering and stakeholder sessions
- Templates, tools and knowledge checks
- A personal action plan
Cohorts are kept small so every exercise is worked on the participants’ own situations — in person or live virtual.
The faculty profile for your cohort is sent with the full agenda and the next dates when you enquire.Request brochure →
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One request — the full agenda, the faculty and the next cohort dates, sent personally by the admissions team.