AI agents for airline finance and operations work.
Measured against your team before they run alone. Paid on results.
We take one workflow your team already runs, with its documents, systems and written rules, and deploy an agent that finishes the routine cases end to end. A person keeps every decision the policy reserves for people. Nothing runs alone until it beats your own team on your own files.
SOC 2 Type II ISO/IEC 27001:2022 Built on a live airline operation
October 22, 2026
Presented at an OpenAI event
OpenAI, San Francisco
Tarun Upaday, Routespring’s CEO, presented at an OpenAI event for technology executives in San Francisco. The session covered why agent rollouts stall in operations: no business owner, no definition of correct, no guardrails, and change management left to the end. The four rules on this page are the answer.
Each one is a desk that already exists, with people doing the handoffs. Three recover money. Three remove work. All six have a number that says whether it worked.
The model is rarely the problem. Rollouts stall on four things, and each one has a rule.
Failure 1: No business owner
A named owner on your side
One person who runs the workflow today owns the agent after launch, with the authority to change the policy it follows.
Failure 2: No definition of success
A written definition of correct
Before any build, two of your people grade the same 50 closed files blind. Where they differ is the human baseline and the agent’s miss budget.
Failure 3: No guardrails
Guardrails in code, judgement in the model
Code keeps eligibility, limits, authority and the audit trail. The model reads the evidence, weighs conflicts, applies the written policy and writes down its reasoning.
Failure 4: Change management as an afterthought
Change management from day one
The people whose work changes grade the test set, watch shadow mode and correct the agent. Their corrections become the test set.
Method
How a deployment runs
1
Week 1
Pick the workflow and the owner
One workflow your team already runs, with its documents, systems and written rules, one owner on your side, and one number that decides whether it worked.
2
Weeks 1 to 2
The 50-file test
Fifty closed files with known outcomes, graded blind by two of your people. We write the agent without looking at them, run it, and report false positives and false negatives against the human baseline.
3
Weeks 3 to 8
Shadow mode
About 100 new files run beside your team with no answers given. Your team compares weekly. The test set stays closed while we tune, so the agent is never fitted to it.
4
Weeks 9 to 10
Run alone on the cases it has earned
The agent finishes the routine cases alone. Every batch is stamped with the policy version and can be undone. Exceptions go to a person with the facts gathered.
5
After go-live
Eight-week error watch
Every finished case is checked for eight weeks, then a sample. Every correction joins the test set. The error rate is reported to the owner weekly.
Send 50 closed files under NDA. Within two weeks you get the agent’s error rate against your own people and, for recovery workflows, the dollars it would have found.
10-week pilot
Fixed fee from $35,000
Covers setup, the 50-file test write-up, shadow mode beside your team and a go or no-go report with the measured numbers.
Production, recovery workflows
20% of dollars recovered
Invoice audit, unused tickets and debit memos. A monthly minimum of $3,000. No platform fee.
Production, processing workflows
$2 to $6 per document
Reconciliation, schedule changes and claims. Priced per file handled, with a monthly minimum of $3,000. No platform fee.
Cancel on 30 days’ notice after the first eight production weeks. Your data is never used to train a model.
Security
The same controls as the platform.
SOC 2 Type II audited and ISO/IEC 27001:2022 certified.
Your files stay in your tenant or ours; the pilot report names which.
No direct writes to your systems of record: batches, stamped with the policy version, that can be undone.
Nothing you send is used to train a model.
Every decision carries its reasoning and an audit trail.
Routespring runs crew travel for airlines: hotels, disruptions, payments and the reconciliation that follows. The automation team is the people who built that platform and the operations team that works the desk every day. The method on this page came from automating our own work first.
Fifty closed cases from the workflow you want to change, under NDA. Within two weeks you get the agent’s error rate against your own team and, for recovery workflows, the dollars it would have found. No charge.