04 / AXLE AUTOMATION
Replacing a critical partner, then automating the workflow
A critical insurance-verification partner announced it was ending the relationship. I helped create runway, evaluate a replacement, restore continuity, then automate the workflow so the team no longer had to handle every transaction manually.
THE PROBLEM
Insurance verification wasn't optional. For some programs, a driver without valid insurance could have reimbursement delayed or withheld. The outgoing provider gave us a short transition window. I helped secure enough runway to restore continuity first and automate deliberately rather than rush the end-state.
That bought time, but the underlying process had always depended on significant manual effort. Our team monitored submissions, reviewed results, updated statuses and communicated failures by hand.
THE QUESTION WE NEEDED TO ANSWER
If we have to rebuild this dependency anyway, what should the workflow look like when humans no longer need to sit in the middle of it?
THE EVIDENCE
I evaluated multiple candidate vendors against eight criteria: scalability, turnaround time, document processing, carrier connectivity, automation potential, per-program configuration, API fit, and commercial/operational fit.
Axle was the strongest match against those criteria, particularly on automation potential and API depth.
Key Decision
Restore continuity first. Automate deliberately second.
Option A: Build the ideal end-state immediately
- Cleaner final state
- Risks missing the transition window entirely
Option B: Phase it
- Phase 1 restores continuity fast
- Phase 2 automates deliberately, once stable
WHAT I DID
Don't just replace the vendor
Cardata was moving further into enterprise, so the evaluation looked past immediate continuity toward where the product needed to go next: larger, more complex customer programs and deeper API integration. That framing, not just "can this vendor do what the old one did," is what pointed us to Axle.
Automate the predictable. Escalate the unusual.
Phase 2 connected Axle and Cardata through APIs so pass/fail results moved directly between systems. No employee had to copy a result from one screen to another. Support moved from being part of every transaction to handling only genuine exceptions.
Before: every case
After: predictable cases
The broader direction this opened up was a move from point-in-time verification toward a more continuous, ongoing understanding of insurance-compliance state. It was a direction for the product, not something fully delivered in this phase.
THE TRADE-OFF
What Changed
WHAT I LEARNED
The project started as a vendor problem. The better question was: if we have to rebuild this dependency anyway, what should the workflow look like when humans no longer need to sit in the middle of it?