Your existing automation stays.
Rules keep handling the cases they already handle well.
Exception processing
Grow volumes without growing the exception team.
Rules handle the easy cases. Governed AI agents can investigate the exceptions, resolve those within the authority you delegate, and pass the rest to your people with the work already done.
You will speak to Yuxiang Lin, Chief Product Officer.
Sound familiar?
When the exception queue is the cost.
The opportunity is in the cases your rules cannot decide.
- Exception volumes are growing faster than headcount.
- Service levels slip while cases wait in queues.
- Automation has done everything rules can do.
- Hiring more reviewers is the only lever left.
What we have done
Keep the rules. Resolve more of what they cannot decide.
Agentic straight through processing is in customer pilots. The pilot is how you see it work on your own cases.
Agents investigate the exceptions.
They gather the evidence, apply your policy and check precedent, as a reviewer would.
Resolve within authority, or refer.
Cases inside the authority you delegate are completed. The rest go to a person with the investigation done, and every action is recorded.
How we start
A conversation about the business problem, not a sales pitch.
First · free · about 45 minutes
What the first conversation establishes
- What one exception queue costs today: volume, handling effort, delay.
- The case types in it, and which could sit within delegated authority.
- Whether it suits a bounded pilot, and what that would need.
It is not an automation estimate. That needs your cases, workflows and policies.
Then
A free pilot on your own cases
No fee. Before it starts we agree the success criteria, the data and people involved, the duration, and the commercial terms that apply if the criteria are met.
Next step
Tell us about the queue.
Yuxiang Lin, Chief Product Officer, will reply personally, usually within one working day. Or email sales@midships.io and mention “exception queues”.