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
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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.
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