Healthcare
Client
Codesandbox
Industry
Finance
Service
AI Agents
Timeline
6 weeks to live
Team Involved
2 engineers, 1 client lead



The Challenge
Northfield Ledger's claims team was reviewing every incoming claim by hand checking policy terms, verifying documentation, and cross referencing prior claims before a decision could be made. The volume had grown faster than the team, and by the time a claim reached the front of the queue, it had often been sitting for three to five business days. The backlog wasn't just a speed problem. Inconsistent decisions were creeping in as analysts worked under pressure, and the compliance team was flagging a rising number of cases that needed rework. Leadership needed a fix that wouldn't require hiring their way out of the problem.
The Solution
AETHER built an agent that sits at the front of the claims pipeline. It reads each incoming claim, checks it against policy terms and prior claim history, and either resolves straightforward cases outright or routes edge cases to a human reviewer with a summary of why it needs attention. The agent was deployed alongside Northfield's existing claims platform no data migration, no new system for analysts to learn. It plugs into the same queue analysts already worked from, just clearing the straightforward 70% before a human ever sees it.
The Outcome
Within the first month, average turnaround dropped from just under four days to under eight hours. Analysts stopped triaging low complexity claims entirely and now spend their time on the genuinely ambiguous cases the agent escalates the ones that actually need judgment. Compliance rework dropped alongside the speed gains, since the agent applies policy terms identically on every single claim, removing the inconsistency that came from analysts working at different paces under pressure.

Maya Chen
Community Operations Lead
How long does a typical engagement take?
Your first visit begins with a warm welcome and a personal consultation. Your therapist will explain each stage, discuss your comfort and goals, and tailor the treatment to you. You can ask questions or request adjustments at any time.
Do we need our own AI or data team?
What happens if the agent gets something wrong?
How early should I arrive for my appointment?
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