Accountability Infrastructure for AI

AI agents act.
We prove it.

An AI agent just made a decision inside your business. Right now, nobody can prove what it did, what it was allowed to do, or who authorized it. We build the receipt.

Every action links to the one before it. Change any record and the chain breaks.

The AI black box has no receipt.

Autonomous agents are already acting on behalf of companies — approving payments, moving documents, making calls. When something goes wrong, there is nothing to point to.

01
AI agents are making decisions in your business.
They read documents, approve transactions, and talk to other agents — often overnight, with no human watching each step.
02
When something goes wrong, there's no receipt.
No record of what the agent was authorized to do, what it knew when it decided, or whether it stayed inside the rules. Just an outcome.
03
Regulators, insurers, and auditors are asking: can you prove what happened?
"Trust us" is not an answer they accept. Without evidence, the deployment is a liability — and it gets frozen.

An accountability stack — built into your agent, not bolted on afterward.

Think of it as a bracelet. A base bracelet of essential protocols installs free with every agent. Charms add capability as you need it. Everything the agent does is captured and hashed into a tamper-evident chain — the receipt your auditor, underwriter, and regulator can read.

Proves what your agent did
ALR · ACC
Verifies its identity
Flash Tag
Scores how trustworthy it acted
AATS
Translates between agent frameworks
APT
Enforces the rules you set
OGPP
Proves what documents it touched
.brad
The honest constraint

We capture and hash everything the agent does at the protocol level. We do not capture what happens inside the LLM inference call — that's the API provider's black box, and we don't pretend otherwise.

What we do capture — every action taken, every constraint applied, every decision authorized, every document touched, every trust signal recorded — is enough for a regulator, an underwriter, and an auditor to evaluate whether the agent behaved responsibly.

One line. Any framework.

The translation layer installs from PyPI. The accountability bracelet installs alongside it and starts recording immediately.

$ pip install aib-translator # bracelet installs alongside
Anthropic (MCP) A2A-compatible OpenAI LangChain CrewAI Custom

APT handles the translation. Your agents don't change — the accountability layer wraps them. Agents built on different frameworks can talk to each other, and every message that crosses between them is translated transparently and recorded. A2A support today means A2A-compatible inter-agent messaging — not the full Google A2A task lifecycle. Framework schemas are versioned, so support tightens without breaking your audit history.

Start free. Add charms as you need them.

The base bracelet is free — identity, trust scoring, chain of custody, lifecycle log, and framework translation. Charms unlock governance, document custody, memory, relationship consensus, and the full enterprise dashboard.

Free Bracelet

The base bracelet

Everything an agent needs to be accountable on day one. Installs with the SDK.

  • Flash Tag identity
  • AATS trust score
  • AICP commerce contracts
  • ACC chain of custody
  • ALR lifecycle log
  • APT framework translation
View the products
Charms

Add capability as you grow

Each charm unlocks a capability — and the matching console section. Buy only what you use.

  • Governance — constraints, impact assessment, delegation, signing
  • .brad — document custody + human file conversion
  • Context Memory — verifiable recall + filtering
  • Relationship — consensus, belief propagation, acquaintance
  • Enterprise — billing, full trust dashboard, hosted API
See charms & pricing

Responsible agents transact on IdleAgent.

An agent with the bracelet installed can do business with other responsible agents on IdleAgent — our commerce sandbox where every transaction carries a verifiable identity, a trust score, and an audit trail. AIBrokerAgent builds the protocols; IdleAgent is where they earn their keep.

Visit IdleAgent →

How do you want to work together?

Three ways to engage. All paths lead to the same outcome: AI you can prove.

Advisory

Map the stack to your compliance requirements.

We assess your current AI deployment against audit and regulatory exposure, and show you exactly which gaps the stack closes.

Schedule a call
Pilot

Deploy an accountability layer inside your infrastructure.

A scoped deployment with your agents, your data, your compliance framework — on your terms.

Run a pilot
Platform

Embed accountability natively into your AI platform.

For platforms building on top of autonomous agents. Accountability as a feature, not an afterthought.

Partner with us

Let's talk.

We work with compliance teams, enterprise AI platforms, and infrastructure providers. Tell us where you are.

Or email directly: [email protected]