AI in production and workflow handoffs
These case patterns show practical uses of knowledge assistants, document extraction, enquiry routing and workflow automation. Each example separates the operating problem, solution direction, human handoff and intended outcome so AI is assessed as part of a real process rather than a standalone demo.
Problem
Repetitive course enquiries consuming significant staff time.
Direction
Deploy a knowledge base to handle FAQs, integrated with website and WhatsApp.
Outcome
Reduced frontline enquiry volume, improved response consistency.
Problem
Enquiry information scattered across email, forms and phone records.
Direction
Consolidate enquiries into a unified workflow with status tracking.
Outcome
Better tracking, faster response times, clearer team handover.
Problem
Manual document handling with repetitive data entry across departments.
Direction
AI-assisted document intake, classification and routing.
Outcome
Reduced manual work, improved accuracy and traceability.
Focus
Use RAG knowledge assistant to handle common enquiries and route complex cases to staff
Scope
AI Knowledge Assistant / Website / WhatsApp / CRM / ticket handoff
Deliverables
Knowledge source organisation / Enquiry classification logic / Referral workflow / Enquiry analytics
Outcome
Improve enquiry efficiency, consolidate internal knowledge, reduce repetitive frontline responses while maintaining human service quality.
Focus
Stabilise the workflow from document collection to routing for invoices, forms and supporting documents
Scope
OCR / Document extraction / Workflow Automation / Integration
Deliverables
Document upload portal / Field extraction rules / Review workstation / Downstream system handoff
Outcome
Shorten document processing time, reduce duplicate entry, and let teams focus on exception cases first.
FAQ
How to interpret the use cases, controls and outcomes.
