See it work
The engines, run on real data.
Every service on this site is backed by software that actually runs. Below are the real artifacts the engines produce — a spend audit, a security scan, a before/after regression, a revenue-risk report, and the portal that unifies them — generated on synthetic-but-realistic data. The method is identical on yours.
Every number is derived from the data, never hardcoded.
Measured waste is separated from estimates; estimates state their assumption. That’s the whole product.
Real artifacts
Five engines. Deliverables you can open.
Each link opens the actual report the engine generated — the same shape a client receives, on synthetic-but-realistic data rather than anyone’s real bill.
AI Spend Audit · the cost engine
Where the money goes, and what’s recoverable
A month of usage priced route by route; the waste patterns hunted; the money-back-half guarantee computed from the data, not asserted.
MCP Security Scan · the scanner (open source)
What an agent’s tools can reach, and where they’re exposed
A live MCP server enumerated over the real protocol; least-privilege, tool-poisoning, shadowing, confused-deputy and secret checks; a blast-radius map per tool.
Security Regression · the retainer deliverable
What a model change quietly broke
The adversarial suite re-run before and after a change, diffed: what newly broke, what got fixed, what held. Change is the trigger — a quiet month is only safe if nothing changed.
Revenue-Risk Report · the journey engine
Revenue-critical journeys, watched for silent breakage
Checkout run end to end and tagged with the revenue each step guards; hard failures and latency degradations classified; money-at-risk quantified — including the silent drop that still returns HTTP 200.
Client Portal · the retention layer
Every engine’s output, in one place
A live dashboard that unifies cost, security and journey health, with a searchable report archive. A snapshot of a real client’s view — cost recoverable, open findings by severity, revenue at risk.
The portal also carries an internal ops view that flags any retainer drifting toward churn — see the ops dashboard and churn signal. Figures on this page are from runs on synthetic-but-realistic data, not client data. Security output carries the line it always does: we reduce risk — we do not guarantee security.
The reasoning is on the table before anyone pays.
One true, quantified finding from your own data — free, before any commitment.
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