Course Objective & Scope
Automating a broken, inconsistent process only produces errors faster. This course teaches how to make the current process (AS-IS) visible, strip out redundant approvals and rework, clarify decision rules and design an automation-ready target workflow (TO-BE) before writing a single workflow node.
Participants map a real process from their organisation using SIPOC and swimlane diagrams, decide which steps belong to deterministic rules, LLM inference or human review, and produce a Process Design Document (PDD) ready for implementation.
Who Should Attend?
- Business analysts, process improvement and operational excellence specialists
- Department managers leading automation and digital transformation initiatives
- PMO, quality and organisational development teams
- Citizen developers and automation builders
Key Takeaways
- Map AS-IS processes completely across systems, roles, inputs and exceptions
- Eliminate waiting, rework and unnecessary handoffs before automating
- Classify decision points into deterministic rules, AI inference and human approvals
- Score and prioritise candidate processes by volume, time saved, error risk and integration effort
- Deliver a TO-BE workflow and Process Design Document ready for build
Curriculum
Process Discovery and AS-IS Mapping
- Building SIPOC tables and swimlane process diagrams
- Surfacing hidden manual steps, spreadsheet workarounds and tribal rules
Bottleneck Analysis and Lean Simplification
- Removing wait states, duplicate data entry and redundant approval loops
- Input standardisation and error-proofing forms
Separating Rules, AI Steps and Human Decisions
- Deterministic rules for structured data versus LLM steps for unstructured inputs
- Exception taxonomy and escalation thresholds
Automation Readiness and ROI Prioritisation Matrix
- Scoring transaction volume, cycle time, error cost and system/API readiness
- Building a backlog of quick wins and strategic initiatives
TO-BE Design and the Process Design Document (PDD)
- Target workflow diagram, data dictionary and acceptance criteria
- Joint sign-off checklist for operations and technical teams
Other Courses in This Category
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Combine deterministic workflow automation with LLM steps for classification, extraction and summarisation to process unstructured emails, PDFs and free text reliably.
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Design multi-step, context-aware enterprise workflows using LLM APIs, prompt chaining, routers, evaluator-optimizer loops and tool calling patterns.
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Extract structured data from invoices, contracts, delivery notes and scanned PDFs using OCR and vision-language models, validate it against business rules and push it into ERP or finance systems.
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Triage shared inboxes, support tickets and contact forms with LLMs by intent, category, urgency and sentiment, extract key fields, route to the right team and generate draft replies.
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Accelerate the marketing and sales funnel with automated lead enrichment, scoring, personalised outreach, pre-meeting account briefs, CRM updates and proposal/follow-up workflows.
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Automate recruiting coordination, onboarding/offboarding checklists, employee policy Q&A, leave/expense/procurement approvals and internal service requests with human checkpoints.
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