Blog
Real-world lessons from deploying AI voice agents, document processing, and workflow automation in the enterprise.
A national vehicle purchasing platform runs 1,000 evaluations a week. Review time fell from 20 min to 1-2, error rate from 7% to 1%, headcount 12 to 6.
Read articleDMVs reject dealer titles for five recurring reasons, but the real fix requires splitting entry errors from paperwork that went stale before it was filed.
Read articleThe five prompt-level rules a production compliance pipeline runs on to stop an LLM from inventing field values, from snapshot-only data to a post-parse scrub.
Read articleF&I audit post-mortems keep surfacing the same three misses: an expired license, an unresolved Red Flags alert, a disclosure filed under the wrong deal.
Read articleOdometer disclosure is federal law under 49 CFR Part 580: it covers vehicles under 20 model years old, with a 5-year dealer record retention rule.
Read articleIn one production sample, 24 of 24 rejected title deals were name mismatches: JR/SR suffixes, middle names, reordered names. Here is how to fix the policy.
Read articleYou cannot A/B test a compliance decision. Shadow runs replay already-decided documents through a candidate model off-path and compare verdicts before go-live.
Read articleThe fix for a title backlog isn't more clerks: the role is chronically hard to staff. Triage clean jackets out and only review the exceptions.
Read articleIndustry commentary cites 2-5% manual error rates vs. under 0.1% for AI. Neither number should drive your decision: a named 7% to 1% case should.
Read articleRPA runs a fixed click sequence that breaks on format variation; AI-based document review is built to handle it, which is what a deal jacket demands.
Read articleThe demo isn't the test that predicts vendor success. Ask about the implementation timeline and data prerequisites before you sign, not after go-live.
Read articleHow a leading automotive marketplace cut review time from 20 minutes to under 2, dropped error rates from 7% to 1%, and halved its review team.
Read article