Control Layer for Your Financial Data

A firewall at the source.

Errors are stopped and fixed on the spot, before they become missed revenue, unbilled charges, or overpayments.

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LIVEObsidia · Financial Data Firewall
SOURCE SYSTEMS ORDERS BILLING ×2 ! BANKS OPS SYSTEMS RAW · UNVERIFIED Obsidia STANDARDIZE VALIDATE MATCH EVIDENCE CROSS-CHECK STOPPED · FIXED · RELEASED YOUR STACK YOUR SYSTEMS & AI AUDIT TRAIL VERIFIED · TRUSTED
[01] · The cost curve

An error caught late costs 10 to 100× more, in cash and time.

Upfront checks catch the obvious.

Obsidia stands here 10× 100×
At entry
At close
Later
[02] · How it works

Five controls, run on every transaction.

At the source, instead of expensive fixes later.

01 / 05

Standardize

No matter which systems you run today, every feed is standardized into one shape, originals untouched.

02 / 05

Validate

Every transaction is validated against your business rules, internal controls, source evidence, and reporting requirements.

03 / 05

Match evidence

Every line traceable to source. When a question comes, the proof takes minutes.

04 / 05

Cross-check

Each system sees only its own records, and no system checks itself against the others by default. Obsidia validates across every system, in real time.

05 / 05

Resolve & release

Exceptions are held with a stated reason and routed to the right owner. What clears moves on, trail attached. The system adopts new rules as you need them.

[03] · Who it's for

Built for teams where every record is money.

Defend margins, retain customers.

01 High-volume operators

Lean finance teams, heavy flow.

Under-billing leaks revenue quietly, over-billing pushes the customer back, and a misapplied rate does both.

  • Third-Party Logistics
  • Distribution
  • Wholesale
  • Manufacturing
02 AI on financial data

Products whose outputs have to hold.

Companies building AI products on financial data use Obsidia as the deterministic layer beneath their products.

  • Fintech
  • Finance software
  • Advisory
[04] · What you get

An error caught is money kept.

MODELED OUTCOMES
0%
Manual Review Hours
0%
Data Quality Issues
Days → Minutes
Audit Evidence Retrieval
0%
Team Rework
0%
Migration Rework
1–5%
Revenue Recovered from Leakage
BACKED BY THE NUMBERS
01

42% of companies experience some form of revenue leakage.

MGI Research
02

1–5% of realized EBITA lost every year to revenue leakage: misconfigurations, data gaps, manual failures.

EY, Revenue Assurance
03

Even top performers pay 0.8% of annual disbursements twice or in error. Bottom performers, 2%.

APQC
04

76% of organizations were victims of payments fraud in 2025, most often business email compromise: a fake invoice nobody checked against real work performed.

AFP, 2026 · ACFE, 2024
05

Best-in-class AP teams run a 9% invoice exception rate vs. 22% for all others.

Ardent Partners, 2025
06

It costs $2.78 to process one invoice for best-in-class teams, vs. $12.88 for all others.

Ardent Partners, 2025
07

5–8% of manually managed freight invoices contain errors.

American Shipper Freight Audit & Payment Benchmark Study
08

Data inconsistency across sources is the single biggest data-quality problem: the same transaction, different numbers, different systems.

Gartner
09

The 1-10-100 rule: verifying a record at the point of entry costs $1; after it enters the system, $10; once it reaches reports and decisions, $100.

Labovitz & Chang

No workflow changes

Nothing to rebuild. Obsidia layers on top.

Numbers you can trust

Deterministic, not probabilistic: no black box to defend.

Every figure traceable

A full audit trail attached to each number, back to its source.

Always available

Real-time support, whenever you need it.

Revenue leakage is invisible until it's gone. Obsidia makes it visible while there's still time to act.

See how we can help.

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