The gap between an impressive AI demo and a system that survives Monday morning is process design. The use cases below earn their keep because they attach to a measurable operational cost, not to a novelty.
Document and invoice extraction
Purchase orders, invoices, bills of lading, and claim forms arrive as PDFs and photos. Extraction models pull structured data with a confidence score; anything below threshold routes to a human queue. Typical result: 70–90% of documents processed untouched, with a clear audit trail on the rest.
Demand and inventory forecasting
Forecasting models that combine sales history, seasonality, promotions, and lead times consistently beat manual reorder points. The value shows up as reduced stockouts and lower working capital rather than as headcount savings.
Support triage and drafted replies
Classify, prioritise, and draft, but keep a human on the send button for anything involving money, contracts, or safety. Deflection of repetitive questions is the reliable win; full autonomy on complex tickets is not.
Vision-based quality inspection
On production and packing lines, vision models catch defects and mislabels at speeds humans cannot sustain across a shift. Success depends less on the model than on lighting, camera placement, and a clean set of labelled defect examples.
The guardrails that keep it safe
Every production deployment needs confidence thresholds, human escalation paths, logging of inputs and outputs, and a monitored drift metric. Without those four, an AI feature is a liability waiting for its first bad month.
The takeaway
Attach AI to a process with a measurable cost, keep humans on the exceptions, and monitor drift. Everything else is a demo.
Frequently asked questions
- Do we need our own data to start?
- For extraction and support triage, general-purpose models plus your documents are usually enough. Forecasting and vision inspection need your historical data and labelled examples to be worth deploying.
- How do we stop AI making things up?
- Ground responses in your own records, require citations to source documents, set confidence thresholds, and route anything uncertain to a person. Never let a model take an irreversible action unattended.