Multi-Agent Audit · The map

The answer looks fine. It broke two agents earlier.

A hand-graded map of how your agents work together: the orchestrator, the agents it calls, the retries, the handoffs, scored privately and reproducibly. The failures that hide between agents are the ones that reach your customers, the churn you can least afford.

Book a call, map your agents’ paths
30-min call, no prep · scope in 48h · first $200 free
input“What's the status of my request #4413?”
orchestrator
+3 branches
records-agent · fetch_record(#4413)
+2 branches
policy-agent · check_policy()
+1 branches
status-agent · retry ×27
+2 branches
handoff → billing-agent
  1. faq-agentbilling-agentescalate → human
  2. search_records(query)ask_for_id
  3. fetch_current_policy
  4. error_handler()fallback_model
Why it matters

A flawless reply can hide a broken handoff.So, we walk every call your agents make, by hand.

A scorer that reads only the reply gives it a nine. Your users hit the mess two agents earlier.

same input“What's the status of my request #4413?”
Run 1the demo take
orchestrator → records-agent
records-agent · fetch_record(#4413)
status-agent · get_status()
reply
Run 2the same ask, later that day
orchestrator → records-agent
records-agent · search_records(query) · slower path
status-agent · get_status() → timeout
retry ×27
handoff → billing-agent · context dropped
reply
both runs end here✓ identical reply
“It's on track! You should see it completed in 1 to 2 days.”
A scorer that reads only the reply gives both runs a nine.

The map your agents have been missing.

What you get
What it does for you
The multi-agent map
Every call between your agents, drawn out: routing, tool calls, retries, handoffs. You see what the system actually does in production, not what the demo suggested.
Every agent call walked by hand
A person walks each call that matters, end to end, agent to agent. Right answer, wrong path stops counting as a pass.
Severity + priority on every finding
Findings arrive ranked by user impact, not as a flat list. Your team always knows which agent to fix first.
A written reason on every verdict
Every grade is explained in plain words. No black-box scores to argue with.
A private, reproducible score
The same walk, re-run after a fix, tells you whether the path held. Nothing about your agents leaves the engagement.
Yours to keep
The map and graded calls are deliverables, not a subscription. They seed your release suite, and they stay with your team either way.

Four things that decide whether the system holds.

01
Routing & delegation

Did the orchestrator hand the ask to the right agent, or a plausible wrong one?

02
Tool calls

Right tool, valid arguments, nothing hallucinated, in every agent on the path.

03
Retries & recovery

What happens on a timeout: a clean fallback or a 27-call loop?

04
Agent handoffs

Does the context survive the handoff, or does the next agent start from zero?

Who this is for

Best for you if
Your product runs more than one agent: an orchestrator, sub-agents, tool runners
A clean answer isn't proof the agents behaved
You've never seen a map of the calls your agents actually make
You find out about dropped handoffs from support tickets
Not for you if
Your product is a single agent with a single prompt
You already have eval engineers walking multi-agent traces in-house

Benefits of a Multi-Agent Audit

Cross-agent failures surface before your users hit them: wrong routing, silent loops, dropped handoffs.
Right answer, wrong path stops counting as a pass. Every verdict names the agent and the call that earned it.
You see the map of what your agents actually do in production, not what the demo suggested.
Retry storms and agents calling agents in circles show up as line items, so you stop paying for calls that go nowhere.
Findings arrive ranked by user impact, so your team knows exactly which agent to fix first.
The map and graded calls seed your release suite, so future benchmarks start from real multi-agent trajectories.

See what we catch, on us.

Your first agent is scoped as a pilot. The first $200 of hand-graded evaluation is free: credited toward your retainer if you continue, yours to keep if you don't.

First $200 freeCredited if you continueThe map is yours either wayNo commitment
Book a call, claim your $200 pilot
30-min call, no prep · scope in 48h

What happens after you book

01A 30-minute call

An engineer scopes your agent with you. No deck, no prep.

02A written scope in 48 hours

What we'd test, how we'd grade it, and what it costs.

03Your first report within the week

Your multi-agent map and graded calls land within the week. First $200 on us.

No codebase, no integration sprint. Your engineers stay on the roadmap.

Questions we get asked frequently

How is this different from Release Benchmarks?
The audit is a deep, one-time study of how your agents work together today. Release Benchmarks are the recurring gate that re-grades a frozen suite on every release. The audit's map and cases often seed that suite.
Why not build it ourselves?
You can, but walking and grading every agent call is weeks of an engineer you hired to ship product. We work from your prompts and example runs, so your team spends near-zero time onboarding us and stays on the roadmap.
Do you use AI to grade?
No. A person walks every call that matters and writes the reason on every verdict.
Won't grading every agent call just create noise?
That's the failure mode we design against. We walk broad, then rank what we find by user impact, so the report leads with the handful of calls that actually matter.

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Set the bar
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A custom rubric and a hand-graded golden dataset built around your agent: the fixed reference standard every eval, benchmark, and release measures against.

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Hold the bar
Release Benchmarks

A private suite of frozen cases re-graded by hand every release, so wrong tool calls, broken trajectories, and unsafe actions surface as regressions, not incidents.

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Tune the prompt
Prompt Tune-Up

Your agent's prompts benchmarked on real cases, rewritten for tool use and handoffs, and proven side by side: accuracy up, tokens down, edge cases fixed before your users find them.

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Your eval partners

See every call your agents make, before your users do.

Orchestrator, sub-agents, retries, handoffs: every call that matters, walked and graded by a person, in one private map.

Book a call with an engineer