Your AI agents are working.
Can you prove it?
Ritualis runs a fixed-price, one-week audit of your production AI automations — what your agents actually do, where they fail silently, and exactly what to fix. Every finding ships with a receipt: the evidence, the reproduction path, the severity, the remedy.
pilot pricing · EUR 3,500 fixed · limited to 2 engagements at a time
Most agent failures are silent.
Industry analysis puts agent failure rates in production at 70–95% — and an estimated 88% of agents that pass controlled demos fail when deployed to real workflows. The ones that keep running rarely carry a verification layer: automations misfire on live records, retry themselves into runaway costs, and drift out of scope — and the first person to notice is usually a customer.
If your board, your customer, or your auditor asked today — “what exactly did the AI do last week?” — what would you show them?
One week. Fixed scope. Six deliverables.
- Defect matrix Every silent failure, fake-success, and drift we find — severity-ranked.
- Security boundary review Prompt-injection surfaces, permission sprawl, data-leak paths.
- Cost & scope check Token burn, runaway patterns, missing budget guards.
- The receipts pack Each finding evidence-linked and reproducible: inputs, outputs, hashes, reproduction path. Not our opinion — a record you can hand onward.
- Fix backlog Prioritized, written so any competent implementer can execute it.
- Walkthrough 60 minutes live, plus 14 days of written Q&A.
Adversarial by design. Receipts, not vibes.
Independent passes that attack each other. Your system is reviewed by sealed, independent analysis passes that try to refute each other’s findings — a finding survives only if the evidence holds.
Everything receipted. Every claim in the report links to reproducible evidence. The report’s own file manifest is hash-verified, and each analysis seat’s identity is recorded.
Your data stays data. Exports you share are treated as untrusted input — never as instructions. We work read-only: we never modify your production systems during an audit.
Model-neutral. We run and verify across providers; nobody’s marketing decides the verdict.
What a finding looks like.
finding_id RIT-DEMO-004 severity HIGH
claim order-triage agent silently skipped 6.2% of inbound records
evidence replay of 500 synthetic records -> 31 unprocessed, zero errors logged
repro fixture_0032.jsonl -> run -> diff expected/actual sha256 9c41…e7
sign-off human-reviewed 2026-07-04 status OPEN -> fix #2
Every real engagement receipt looks like this — with your systems, your evidence. Demo data on this page is synthetic and labeled as such.
What we don’t do.
No certifications or compliance sign-offs — we produce technical findings, not legal advice.
No completeness promise — the report covers what the method found in the agreed scope. Anyone promising to “catch everything” is selling something else.
No production changes during audits. No data hoarding — engagement artifacts are deleted 90 days after close.
No trackers on this site — the form below is the only data we collect.
Built for teams with agents already in production.
Companies (roughly 10–200 people, EU) with at least one AI automation or agent in production — and a decision-maker who wants the truth about it more than a reassuring PDF.
Not for you if: nothing is live yet, or you need a certified assurance body — we’ll say so and point you in the right direction.
One number. No meetings to get it.
Agent Operations Audit · 5 business days · up to 3 production workflows · read-only · 50% on kickoff, 50% on delivery · engagement letter with liability terms up front.
After the audit, most clients continue into fix implementation, a monthly evidence pack, or an operating-cadence install — quoted in the walkthrough, never pushed.
Request an audit slot.
We’re onboarding a small number of design partners this quarter — earlier access, direct input on the receipts format, pilot pricing locked for 12 months. Tell us what’s running and what keeps you up at night.