Chatbots, assistants, agents and automations answer questions for your company all day long.
Each answer looks small. Together they add up to one of your fastest-growing costs.
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Every answer costs something.
Each AI answer is a model call, billed by the word.
One question can quietly turn into dozens of calls: retries, searches, and agents asking other agents.
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It piles up where nobody is looking.
The bills land in finance. The mistakes land in support. The logs land in engineering.
Nobody sees the whole picture, so nobody can fix it.
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Croutons turns the crumbs into croutons.
We gather that scattered activity into small, tidy units we call croutons.
Each one answers a simple question: where did this come from, which model should do it, does a person need to approve it, can we reuse it, and what did it cost?
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Now you can decide.
Send simple jobs to cheaper models. Put a person in front of risky ones. Reuse good answers instead of paying for them twice.
Every rule is written down, so it keeps working after the meeting ends.
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And see what changed.
Every decision is measured, so you know what it saved and what it risked.
In one modeled enterprise example, the diagnosis found $420k a month of recoverable AI waste and a 31% lower waste rate.
Modeled example from an enterprise workload, Q2 2026. Your numbers depend on your workloads.
The five croutons
One small unit for every question that matters.
A Crouton Unit is a structured record made from one messy piece of AI activity. Each type answers one plain question.
CR-EVID-01
Evidence Crouton
Where did this answer come from?
Links outputs to source-backed claims: claim → source → confidence.
CR-RTE-02
Route Crouton
Which model should do this job?
Captures routing, fallback and model choice.
CR-POL-03
Policy Crouton
Does a person need to approve this?
Applies governance gates and approval paths.
CR-ANS-04
Answer Crouton
Can we reuse this answer?
Stores approved answers with citation support.
CR-IMP-05
Impact Crouton
What did it cost and save?
Measures savings, latency, quality and risk reduction.
Agent C is the Croutons app for search and AI visibility. It asks ChatGPT, Perplexity and Gemini what your buyers ask, then a team of five AI specialists proposes the fix. Nothing ships without your approval.
Croutons looks at how your company uses AI and shows three things: where the money goes, where the AI makes mistakes, and what to fix first. It turns scattered AI activity into small, tidy records your team can act on.
How much does it cost to get started?
The first step is a free 30-minute diagnosis call. Paid work after that is quoted in writing before anything starts: a fixed quote for a one-time diagnosis, or a monthly quote for ongoing management.
Do we need to connect our systems first?
No. The first diagnosis runs on samples you choose to share, such as a few logs, a workflow description, an invoice export or a list of URLs. No production integration is required.
How fast do we get results?
You leave the call with the top issues we spotted. A written follow-up arrives within two business days.
Is our data safe with you?
Sample data is used only for the agreed engagement and kept only as long as that engagement needs it, unless you agree otherwise in writing. We do not sell personal information.
Can my AI assistant book a call for me?
Yes. This site exposes its prices, open times and booking as tools that AI agents can call directly, through WebMCP in the browser and a public MCP endpoint. Agent bookings are confirmed by a link sent to your email.
Start with a free 30-minute call.
Bring one question. Leave with the top three things to fix and a written follow-up within two business days.