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Business Automation

The Exceptions Are the Project

Why exception handling decides whether an automation succeeds, how we find them, and how we design the human-in-the-loop boundary.

Updated 2 min readBy SpiderHunts Technologies

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Quick answer — TL;DR

The happy path is 10% of the work. We hunt exceptions during discovery, price them explicitly, and design a review boundary based on confidence, value, external consequence and reversibility — so most records flow through and the dangerous ones get checked.

Every rescued project had a thin exception list

We are regularly asked to finish or replace an automation somebody else built. The build is usually competent. What is missing is the answer to “what happens when the order arrives as a photograph”.

A flow that handles 80% of cases and dumps the rest on a person with no context has moved the work rather than removed it.

How we find them

  1. Ask what happened last week that was unusual, then last month
  2. Watch someone handle a case they describe as annoying
  3. Look at the actual data for the records that break the pattern
  4. Ask what the workaround is — there is always a workaround
  5. Ask the newest member of staff what confused them
The newest person is the best source. They still remember which parts made no sense, and they have not yet normalised the exception into invisible routine.

Where we put the human boundary

Four triggers send a record to a person rather than through: low confidence, high value, external consequence, and anything irreversible.

  • Low confidence — extraction below a threshold, an ambiguous match
  • High value — above an amount you set, regardless of confidence
  • External consequence — sends a message, moves money, commits you to a third party
  • Irreversible — anything that cannot be undone in a click

We make review fast, or nobody does it

A review interface that takes ten seconds per item makes a 20% review rate workable. One that takes two minutes means the queue grows until people start approving without looking.

So: source document beside the extracted values, cursor on the uncertain field, keyboard-only completion, and corrections captured so the same case is never queried twice.

And a stop button

Somebody in your business should be able to pause the automation in seconds, without calling us. When something is going wrong at volume, that matters more than any feature.

We build it in and we make sure the people who would need it know where it is.

FAQ

Frequently asked questions

The questions readers ask us after this guide.

Still have a question?

Ask us directly — a senior engineer will get back to you.

Ask about your project

What review rate should we expect?

For document-heavy work, 10–30% initially, falling as thresholds are tuned and corrections feed back. We report it monthly so you can see it moving.

What if we do not know our exceptions?

That is normal and it is what discovery is for. We will find them by watching the work rather than by asking you to list them from memory.

Can the thresholds be changed later?

Yes, by someone in your business rather than by us. They will need tuning once you see where the real errors are.

What happens to a record that fails entirely?

It goes to a quarantine queue with the error and the original data, someone is alerted, and it can be reprocessed once the cause is fixed. It is never silently dropped.

Keep reading

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