The situation
The state's process is designed for your people to fail.
It isn't your team. Mileage reimbursement under DCF runs through a workflow almost engineered to produce errors — and every error comes straight back to you.
01
Log into the state’s FDOT mileage site and re-enter every origin and destination by hand.
02
Look up point-to-point miles — then calculate vicinity mileage as a separate step.
03
Reconcile all of it in a spreadsheet most staff were never trained to use.
04
Submit and hope it clears — because one rejection restarts the whole cycle.
Do this across dozens of staff, every pay period, and consistent accuracy is a fantasy.
The fix
See it on your own routes — book the demo
Mileage that's correct before it's ever submitted.
The app replaces the FDOT-site-and-spreadsheet gauntlet with one guided flow. Staff can't skip a step, can't fat-finger an address, can't miscalculate vicinity miles — because the software won't let them.
Authoritative routing built in — the state’s own mileage source, with no manual look-ups.
Point-to-point and vicinity miles calculated automatically and shown as separate items — exactly as § 112.061(7)(d) requires.
Every submission carries its own audit trail — defensible months later, with no scramble.
Per-user isolation, so one person’s records never bleed into another’s.
Beyond mileage
See the security & engineering side
The same discipline, applied to your AI spend.
Cybershark also hardens brittle, costly AI workflows and builds production systems to a security-grade bar. Most "AI automation" is overbuilt — I'll make sure you don't pay for capability you don't need.