Intelligence Inside a System You Already Run

Three things that fit most applications

1. Classification — routing, categorising, prioritising incoming work
2. Extraction — turning documents and free text into structured fields
3. Drafting — replies, summaries and descriptions for a person to review

All three produce output a person can check in seconds, which is what makes them safe additions to a system people already depend on.

Call it from a queue, not from a request

Model calls are slow and occasionally fail. Making one during a web request means a user waiting and a request that sometimes times out.

• Queue the work, process it, store the result
• The interface shows a pending state, then the result
• Retries handled by the queue, not by the user
• A provider outage delays rather than breaks

Store the output as data

The model's output should land in your database as structured fields with a confidence indicator, not be regenerated each time it is displayed.

That makes it queryable, auditable, correctable and cheap. Regenerating on every view is slow, expensive and produces different answers over time.

Always keep the human path

1. A review queue for anything uncertain
2. In-place correction, captured as data
3. A switch that disables the AI step and falls back to manual
4. The original input preserved alongside the output

Costs and controls