AI with a paper trail.
Most “AI-native” software asks you to trust a black box. Fleetius's automations propose actions into an approvals inbox, act only inside guardrails, and record every step in an inspectable run trace.
Everything in, decisions out.
The documents and signals you already have flow through the automations — and come out as approvals, not surprises.
You are the loop.
Every automated write is proposal-first: it waits in your approvals inbox until a human says yes. Every run records its steps — what was read, what was decided, what it cost — in a trace you can open. Tunables live in the Automation Studio, per automation.
- Proposal-first writes, human approval required
- Step-by-step run traces, inspectable after the fact
- Per-automation tunables in the Automation Studio
The scanner behind it all.
One document engine reads rate confirmations, PODs, proofs of pickup, and VIN or plate shots — each with its own extraction profile, each validated against your real data before anything is proposed.
- Rate-con, POD, POP, and VIN/plate profiles
- Extraction validated against your records
- Evaluated on real-world documents before shipping
Five agents that know your data.
Scoped to your organization, answering over your loads, money, and fleet — not the open internet.
No fully-autonomous writes. Every automation can run in dry-run mode first. Your operation's data stays yours.