Design the exception path before you automate the easy one

Automation projects tend to begin with the most common case: a complete referral, a clean claim, a form with every field filled in. That case is the easiest to build and the easiest to demonstrate.

The cases that fall out are where the work goes wrong. If an exception lands in a shared inbox with no context, staff spend their time working out what the system did, and soon begin checking everything by hand.

Start by mapping what goes wrong

Before building, sit with the people who do the work today and list the ways a case goes off track: missing data, conflicting records, a payer rule that changed, a system that did not respond. Each one needs an owner and a next step.

What a good exception path has

• A clear reason, stated in plain words, for why the case stopped.
• The context needed to resolve it on one screen, without searching other systems.
• A named queue or owner, with a time by which someone should act.
• A way back into the automated flow once the problem is fixed.

Build for repeat attempts

Systems time out and messages arrive twice. A step that runs again must not create a second order or claim, which engineers call being idempotent. Without that property, automatic retries can cause more harm than the original failure.

Leave a record

Every automated decision should record what it saw, which rule or model version it applied and what it did. That record supports compliance reviews, and it is also how a team finds which rule to improve next.

Decide what stays with people

Some decisions should keep a person in the loop even when automation could technically make them, especially those that affect care or coverage. Set that boundary with the clinical and compliance teams at the start, and review it as confidence grows.