See what happens when an AI agent tries to buy from you.
AI agents are already navigating your site — attempting to buy, book, subscribe, and complete transactions.
Most fail silently: no error message, no log entry, just a journey that stalled and a customer you never had.
What the agents see, you should see first.
Book the Audit →fixed-fee · two-week diagnostic · not a free trial
live transaction journey · agent checkout
arrive
find item
add to cart
authenticate
payment
confirmed
agent
Stalled at authenticate — a modal intercepts the agent.site returned 200 OK · no error · no log · the sale never happened
audit ledger · entry writtenauthorized✓correct✓on the record✓
illustrative walkthroughreadyshowing final states — enable JavaScript to run the walkthrough
Without ATA
a site without assurance
agent
Tessera — annual license$1,200.00
Total$1,200.00
arrive200
find item200
add to cart200
authenticateintercepted
payment—
confirmed—
Verify it's you to continue
A human-verification modal intercepts the request. The agent has nothing to click, nothing to solve, and no path forward — so it waits.
200 OK · no error · no log
The server answered cleanly. The journey just stopped.
◆stalled · no sale capturedYou never knew it happened.
With ATA
verified by Stratt Labs
agent
Tessera — annual license$1,200.00
Total$1,200.00
arrive200
find item200
add to cart200
authenticateverified
payment200
confirmed✓
audit ledger · entry written
authorized✓
correct✓
on the record✓
time
2026-06-09 14:02:11 UTC
journey
jrn_8F3A·C217
signature
sha256:9c2e…a7f1
jurisdiction
EU
✓completed · sale capturedAuthorized, correct, and provable.
not reachedverified · earnedstalled · silent
▹ Precision instrument▹ Forward / inevitable▹ Behavioural, not theatrical▹ Honest by default
What the agents find
The scan says you’re ready. The journey says otherwise.
Most sites pass the static checklist — the right manifest, the correct headers, the standard tags. Then a real agent runs the real path, and something breaks. We run the journey, not the scan.
A journey that passes the scan, then quietly stops — no alarm, just absence.
01
Agents actually complete your journeys.
Not “can complete” in theory. Actually complete. A modal intercepts the click, a form step ignores machine input, the cart never confirms. We test real agents against your real paths — buying, booking, subscribing, contacting — and show you exactly where each one breaks and what it takes to fix it.
02
Every interaction on the record.
When an agent completes a journey on your behalf, how do you prove it was authorized? Our tamper-evident audit Ledger captures the full behavioral record of every interaction — what the agent did, whether it was authorized, whether it complied. The evidence is there before you need it.
03
Still verified as the rules change.
Agent protocols are competing and none has won. As behavior evolves and obligations mature, your verification has to keep pace. The protocol churn that looks like a liability is, under our retainer, the recurring reason you stay current.
The engagement
Own the journey over time.
Agent Transaction Assurance is one practice in three steps. Each one takes you further down the same journey — from knowing where it breaks, to proving it holds, to keeping it proven.
Audit
Pilot
Watch
01 · Audit
Know what’s broken — and what it costs to fix.
A fixed-fee, two-week engagement. We run real AI agents against your actual transaction journeys and show you exactly where they fail. The deliverable isn’t a list — it’s a prioritized exposure report: how many critical paths fail, at which step, and a remediation path priced as the Pilot.
Includes a compliance-readiness view against the EU AI Act’s incoming transparency obligations (from Aug 2026) and the 2027 governance wave.
You leave with a number and a clock — a finding converted into a decision.
02 · Pilot
Proof on one flow.
We implement assurance on one priority path — purchase, booking, form, or service flow. Behavioral verification confirms an agent can complete the full journey correctly. The audit Ledger creates a tamper-evident record of every interaction: authorized, correct, compliant.
Runs on Facet — our proprietary verification platform, and the reason the practice scales.
You leave with a working reference implementation and the evidence to demonstrate it.
03 · Watch
Verified as the protocols churn.
A retainer that keeps you current as the agent landscape changes. We cover all major protocols — none exclusively — so you’re not betting on a winner. As behavior evolves and obligations mature, we re-run your verification, update the Ledger, and keep your compliance evidence current.
The fragmentation that looks like a liability is, under Watch, a permanent reason to stay verified.
You keep a verification that never goes stale — the strongest rung in the ladder.
Book the Audit →Audit → Pilot → Watch · one practice, owned over time
The engineering behind it
ATA is the practice. This is the capability beneath it.
You can’t assure what you can’t build. Delivering ATA takes production-grade engineering across the whole AI integration stack — so we offer that engineering on its own, for clients who need the build without the full practice, or who are working their way toward it.
Agent → protocol surface → assurance gate → your systems. The verified segment is the part that has to be proven, not assumed.
Production-grade MCP servers
Anyone can generate an MCP server now. Far fewer can build one that still looks right in three years. That gap is the offer: custom Model Context Protocol servers built for real agent traffic — reliable, secure, and maintained as the landscape evolves, not abandoned the moment the hype shifts.
● live Tessera — a production-grade MCP server for a public library system, built and maintained by Stratt Labs, running in production today. Living proof the standard is real.
We build to the 2029 test: every engineering decision judged by whether it still looks right three years from now.
our public build standard — choices that age into wisdom, not embarrassment
Cloud & server applications
The backend systems and cloud infrastructure behind AI-integrated products — held to the same standard as our own assurance work: observable, maintainable, and built to last.
APIs
Clean, documented interfaces that connect AI agents to your systems correctly. The integration layer that makes agent transactions possible in the first place — and that breaks silently when it’s built wrong.
The Audit, Pilot, and Watch engagements run on Facet — Stratt Labs’ proprietary platform, and the depth beneath the practice.
We don’t sell Facet, and we don’t open it up. What it gives you is certainty.
What you stand behind is the surface. What proves it is the depth beneath.
01
Prove exactly what an agent did.
Produce the evidence on demand — the moment a customer, an auditor, or a regulator asks. Not a claim that it worked. The record that shows it did.
02
Know before you commit.
Whether a real AI agent can complete your critical journeys — not whether it should in theory, but whether it actually does, end to end.
03
Stay provably correct as the ground shifts.
The same certainty holds as protocols fragment, agent behavior changes, and obligations evolve.
You stand behind the outcome. We stand behind the method — and the record that proves it, every time. Facet is not the product we sell. It is how we deliver what we promise.
A direct question
What if agent verification becomes a free commodity?
It partly already is — and that’s fine.
Static readiness checks are becoming table-stakes: the correct manifest, the right headers, the standard tags. Worth having. Not the moat.
The moat is what comes after the static scan — behavioral verification across your actual transaction journeys, the failures no checklist finds because they only appear when a real agent runs the real path. A governance gate that captures whether each interaction was authorized and correct. A tamper-evident ledger maintained as a practice — not a one-time scan, not a certificate that expires.
Static checks find what’s missing. The practice proves what works — and keeps proving it as the agents, protocols, and regulators change.
The proof
We run it on ourselves first.
No borrowed logos, no manufactured testimonials. The proof we show is the proof we can stand behind today.
Dogfood · live endpoint
This page is an MCP server.
It would be awkward to sell agent-transaction assurance and then fail it on our own site — so strattlabs.com runs the same agent protocols we build into client paths. Point any MCP-capable agent at the endpoint: it answers tools/list, returns structured records, and routes a real request to a person.
It clears the open agent-readiness checklist — the free, static table-stakes anyone can pass — and then goes past it: a live surface that proves the journey, and keeps the record. We built it because we couldn’t credibly sell production MCP servers and ship a site that ignores the protocol.
POSThttps://strattlabs.com/.well-known/mcp
The protocol layer this page speaks isn’t speculative — as of Chrome 149 (June 2026) browsers ship native agent tooling, the WebMCP origin trial. The traffic this anticipates is already arriving.
{
"protocol": "mcp",
"server": "stratt-labs-site",
"tools": [
"list_services",
"get_ata_definition",
"list_journal_entries",
"request_audit"
],// scope: anonymous · no auth required// hosted: EU edge runtime · EU jurisdiction
}
honest · verifiable · no inflated numbers
Tessera — one precise piece, built correctly, proving the whole.
Live in production
Tessera
A production-grade Model Context Protocol server for a public library system — built and maintained by Stratt Labs. Not a proof-of-concept: a live system running the same architectural layer and engineering standards we bring to every client engagement. Our own reference for what an MCP server looks like when it’s built correctly — and built to the 2029 test.
mcp · production · maintained · the 2029 test
The proof, watch it happen
The same checkout. Two sites.
Book the Audit
What the agents see, you should see first.
Two weeks, fixed fee. You’ll know exactly which journeys fail, at which step, and what it costs to fix them.