Risk · 3PL & Freight Brokerages
Accessorial Overcharge Detection for Freight Brokers
Flag duplicate accessorials, fuel formula drift, and charges that never appeared in the contract.
Primary search: accessorial overcharge detection
The problem
Accessorials are where quiet leakage hides. Manual spot checks miss systemic carrier patterns.
How we ship it
- 01Baseline expected accessorials by lane and contract
- 02Detect duplicates, drift, and out-of-contract charges
- 03Cluster by carrier for systemic disputes
- 04Feed evidence into your dispute workflow
Outcome
Material exceptions get fought. Noise gets auto-cleared.
KPI: Risk
Related searches this page covers
- accessorial overcharge detection
- freight accessorial audit AI
- AI for freight brokers
More 3PL & Freight Brokerages workflows
All 3PL & Freight Brokerages →Frequently asked questions
How is this different from outsourcing freight audit and pay?
BPO takes a cut of recovery forever. We build the audit engine in your TMS/ERP so you keep the recovery and the data. Start with one high-volume carrier set.
We already have a TMS. Why do we need this?
Most TMS products execute freight. They do not validate invoices against the contract with exception ranking. That gap is where margin leaks.
How do you scope AI for our industry?
Week-one discovery locks business KPIs—revenue, cost, risk, or cycle time—not model vanity metrics. We map your data sources, compliance constraints, and existing stack, then propose a fixed-scope mandate with acceptance criteria or redirect you to a simpler path.
Do you have experience in our sector?
Proven depth sectors (financial services, federal, real estate, telecom, higher education) reflect production systems we've shipped. Growth and operator verticals (MGAs, credit unions, property management, 3PL, RCM, staffing, licensed iGaming, FFL) are selective mandates where those patterns transfer with industry-specific tuning. Biotech, insurance, and regulated work often runs under NDA.
What do we get at the end of an engagement?
Deployable code in your repos, monitoring and runbooks, documentation your team can operate, and knowledge-transfer sessions. The Production Standard is contracted in writing—no handoff to a junior bench after the sale.
What's the fastest way to start?
Book a discovery call or start with a bounded diagnostic: $2,500 Postgres audit, insurance claims-fraud diagnostic from $7,500, or the free MLOps readiness assessment. Each path surfaces whether AI is the right tool before a larger commitment.
The Production Standard
The Production Standard
Six commitments contracted in writing on every engagement.
01
Deploy or redirect
If AI isn't the right tool, we say so in week one and redirect budget to what will ship. No POC theater.
02
Metrics before models
Business KPIs locked in discovery. Model selection follows the metric, not the hype cycle.
03
Governance from day one
Model cards, access controls, evaluation harnesses, and audit trails, not a compliance bolt-on at go-live.
04
Production artifacts
Deployed code, monitoring dashboards, CI/CD pipelines, and incident runbooks. Not recommendations for someone else to implement.
05
6-week production target
Scoped projects designed for production in 6–10 weeks. Boutiques move; global programs wait for steering committees.
06
Capability transfer
Your team can operate, extend, and maintain what we build. IP and documentation transfer is included, not upsold.
Every scoped project includes a production deliverable checklist signed off before close. If we can't commit to deployable output, we won't take the engagement.
Selective intake · 2026
Your next system shouldship to production.
Agentic development from architecture through deployment, with the Production Standard contracted in writing.