Fleet Data / Invoice Automation
Deep Dive

Every invoice matched and audited.

AI reads every shop invoice the moment it arrives, matches it to the right vehicle and work order, and flags anything that doesn't add up — before it's paid.

The standard path

One invoice, five automatic steps, zero manual entry.

Most invoices need zero human involvement — they arrive, get read, get matched, and post straight to Fleet Data.

Invoice Arrives (email, upload, or vendor API), AI Extracts (vendor, line items, labor, parts, VIN), Matched (to the vehicle and open work order), Validated (rates checked against contract and history), and Posted to Fleet Data (feeds cost, life cycle and compliance instantly).
The exception path

Flagged invoices don't get posted. They get resolved.

Overcharges, duplicates, and mismatched vehicles get routed for a fix, not a rubber stamp.

AI Extracts & Validates (reads invoice, checks rates, vendor, unit, and duplicate indicators), Anomaly Flagged (rate above contract, duplicate invoice, or wrong vehicle match), Routed for Review (only the flagged item goes to a person for review), and Resolved & Posted (corrected or disputed before payment, then posted to Fleet Data).
Why it matters

The invoice pile was never really the problem. The time it took was.

Zero manual entry

No one retypes a line item, a VIN, or a labor rate. Ever.

Billing accuracy

Overcharges and duplicate invoices get caught before they're paid, not discovered in an audit.

Headcount, reallocated

Staff who used to key in invoices move to work that actually needs a person.

Impact

The savings, straight from customers.

Diamond Line Delivery (DLDS)

Two people used to key in invoices. Now nobody does.

Read the case study →
2 FTE
Headcount reallocated
$250k
Saved in 90 days
100%
AI-processed
Alter Trading

Two years of paper invoices, digitized in about a month.

Read the case study →
20k+
Invoices processed
33%
R&M reduction
Sunrun

Clearer, more accurate visibility into invoicing.

Read the case study →
$200k
Billing errors recovered

See what automated invoicing looks like.

Contact

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Hide the 5-layer Link-X AI architecture

Link-X is a multi-layered AI tool.
That's why it does things your competitors and analysts can't.

Generic LLMs hallucinate fleet math. Spreadsheet jockeys can't keep up with real-time data. Link-X solves both — by placing Jake, our fleet-specialized SLM, between your data and the world's best LLMs.

01
User & InterfaceYou
Asset managers, executives, drivers — asking questions or triggering events.
↓ QUESTION / EVENT
↑ ANSWER / ACTION
02
Link-X PlatformData fabric
Unified data layer + module router. The home for all your fleet's truth.
↓ ROUTE BY INTENT
↑ FORMATTED OUTPUT
Encrypted
03
Jake's ModulesAssistant · Analyst · Consultant
Specialized reasoning paths for operational, analytical, or strategic questions.
↓ DOMAIN CONTEXT
↑ VERIFIED MATH
04
Jake — the Fleet SLMOur moat
Small Language Model trained on fleet operations. Knows what generic AI doesn't.
↓ STRUCTURED PROMPT
↑ NATURAL LANGUAGE
Encrypted
05
Foundation LLMsFrontier
We don't reinvent natural language — we leverage the best frontier models.
Why this beats every alternative

Plug your data into your favorite AI chatbot and it'll guess. Plug it into Link-X and Jake will know.

Most "AI fleet" tools are just a chat UI on top of GPT. The math is wrong, the recommendations are generic, the calculations hallucinate. Link-X is built differently.

× Generic AI / Spreadsheet Analyst
  • Hallucinates CPM and TCO formulas
  • Doesn't know your vendor network
  • Doesn't understand fleet cost drivers
  • Misses DOT compliance windows
  • Generic answers, no fleet context
✓ Link-X (Jake)
  • Fleet-specific math, verified
  • Trained on real customer outcomes
  • Fleet industry knowledge
  • Tracks compliance automatically
  • Answers grounded in your data