Your automation works. It’s the ten percent that costs you.
Most processes are already automated for the normal case. What eats the time is the exception queue — the missing reference, the invoice that doesn’t match, the request that fits no category. A workflow agent sits over the existing process and clears that queue.
In short: we leave your working automation alone and add an agent above it that handles what falls out. It reads the stuck item, works out what’s wrong, fixes it where it safely can, and escalates the rest with the problem already diagnosed. The deterministic ninety percent stays deterministic, because it should.
Why the exceptions cost more than the volume
A process running a thousand items a month might automate nine hundred cleanly. The remaining hundred take a person most of a week — not because each one is hard, but because each one is different, requires opening three systems, and interrupts whatever else they were doing.
That’s the shape a workflow agent is for. Fixed rules can’t hold it, because the whole definition of the exception queue is “things the rules didn’t anticipate”. An agent can look at the item, look things up, and reason about what would resolve it.
What it does with a stuck item
Find what’s missing
A purchase order number absent from an invoice but present in the email it arrived attached to. A customer reference that exists under a slightly different company name. Most exceptions are information that exists somewhere else.
Explain a mismatch
Quantities that don’t reconcile because of a partial delivery, a total that differs by exactly the freight line. It states the likely cause rather than just flagging that two numbers differ.
Categorise the uncategorisable
Requests written in a way no rule matched. It reads them the way a person would and routes accordingly — or says it isn’t sure, which is a valid and useful outcome.
Hand over with the work done
Where it can’t resolve something, the escalation includes what it checked, what it found and what it thinks is wrong. A person spending two minutes confirming beats one spending twenty investigating.
It doesn’t replace what’s working
This matters and gets ignored often enough to state plainly. Your existing workflow automation is faster, cheaper and more predictable than any agent for the cases it already handles. Replacing it with something model-driven would make a reliable process less reliable and more expensive. The agent gets the reject pile, and nothing else.
What we won’t do
Let it resolve something that moves money
It can propose the fix and show its reasoning. Approving a payment, issuing a credit or changing an amount stays with a person, behind a threshold you set.
Guess when it isn’t sure
Below its confidence threshold it escalates with what it found. An agent that resolves an ambiguous case confidently is worse than the queue it was meant to clear.
Hide the pattern
The exceptions it keeps seeing are a report about your process. If forty a month arrive because one supplier omits a field, the fix is a phone call to that supplier — not a cleverer agent.
How it starts
With a few hundred real exceptions from your existing queue. We categorise them, work out what proportion an agent could resolve unaided, and report that share honestly — including when it’s low enough that fixing the upstream cause is the better investment.
What our clients say
The businesses we’ve built for, in their own words.
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Isabella Scott
Send us a few hundred exceptions
Whatever your current process spits out for a human to sort. We’ll categorise them and tell you what share an agent could clear on its own — and which ones point at a cause worth fixing instead.
An agent that sits above an existing automated process and handles what falls out of it — the missing reference, the invoice that will not reconcile, the request that matched no rule. It reads the stuck item, works out what is wrong, resolves it where it safely can, and escalates the rest with the diagnosis already done.
Will it replace our current automation?
No, and it should not. Your existing workflow is faster, cheaper and more predictable than any agent for the cases it already handles. Replacing it with something model-driven would make a reliable process less reliable and more expensive. The agent gets the reject pile and nothing else.
Why are exceptions more expensive than volume?
Because each one is different. A process running a thousand items a month might clear nine hundred automatically, while the remaining hundred take a person most of a week — not because any single case is hard, but because each requires opening several systems and interrupts whatever else that person was doing.
What if most of our exceptions have the same cause?
Then that is the finding, and it is worth more than the agent. If forty exceptions a month arrive because one supplier omits a field, the fix is a conversation with that supplier rather than cleverer software. The exception queue is a report about your process, and we treat it as one before proposing to automate around it.
