Validate decisions. Route risk to humans. Log everything for compliance. Deploy agents with confidence.
The problem
Your AI agents can draft contracts, process claims, and execute workflows autonomously. But they also hallucinate. They make confident mistakes. They take actions that can't be undone.
Agents generate plausible-sounding outputs that are factually wrong. A single hallucinated clause in a contract or incorrect figure in a report creates liability.
When agents send emails, update databases, or trigger workflows, those actions have real consequences. There's no "undo" button for a confidential document sent to the wrong recipient.
Regulators require audit trails, decision rationale, and human accountability. Most agent deployments have none of these. Every autonomous decision is a compliance risk.
You don't know why your agent made a decision, what it considered, or whether it will make the same choice tomorrow. That uncertainty scales with every deployment.
The solution
Attest sits between your agents and the real world. Every decision is validated, high-risk actions route to humans, and everything is logged for audit.
Define policies for what agents can and cannot do. Attest validates every action against your rules before execution. Out-of-bounds decisions are blocked or escalated automatically.
Not every decision should be automated. Attest routes uncertain, high-stakes, or policy-flagged actions to human reviewers. Your team stays in control without becoming a bottleneck.
Every agent decision, validation check, human review, and execution is logged with full context. When auditors ask questions, you have answers.
Human feedback flows back into your system. Every review becomes training data. Your agents get smarter, your policies get tighter, and your validation gets more precise.
How it works
Your AI agent decides to send an email, update a record, or trigger a workflow. The proposed action hits Attest before anything executes.
Attest checks the action against your defined policies: content guidelines, authority limits, compliance rules, confidence thresholds. Valid actions proceed. Invalid actions are blocked.
For actions that pass basic validation, Attest evaluates risk level. Low-risk actions execute automatically. High-risk or uncertain actions route to human review.
Reviewers see full context: what the agent proposed, why it was flagged, relevant history. They approve, reject, or modify. Decision takes seconds.
Every human decision becomes signal. Approvals reinforce good behavior. Rejections improve future validation. Your system learns continuously.
Validated actions execute with full audit trail. You have a complete record of what happened, why, and who approved it.
Use cases
You're embedding AI copilots in your product. Your customers need confidence that the AI won't embarrass them or create liability.
Close enterprise deals faster. Reduce support burden from AI mistakes. Differentiate on trust.
Your internal AI agents touch sensitive data, customer records, and critical workflows. IT and legal need oversight without slowing everything down.
Deploy agents with confidence. Satisfy IT security requirements. Keep compliance teams happy.
Your industry has strict requirements for decision accountability, audit trails, and human oversight. AI agents seem incompatible with your compliance obligations.
Get AI benefits without compliance risk. Demonstrate responsible AI deployment to regulators.
Platform capabilities
Developer experience
Drop Attest into your existing agent infrastructure with our SDKs and framework integrations. Start validating decisions in a single afternoon.
from attest import Attest client = Attest(api_key="...") # Wrap your agent's action decision = client.validate( action="send_email", payload={ "to": "customer@example.com", "subject": "Contract Update", "body": agent_draft }, context=conversation_history ) if decision.approved: execute_action(decision.payload) else: # Routed to human review print(f"Escalated: {decision.reason}")
REST API
Python SDK
Node.js SDK
LangChain
OpenAI
Webhooks
Why now
80%
of enterprises will deploy AI agents by 2027
Gartner
3x
increase in AI-related compliance incidents YoY
Industry data
$4.2M
average cost of AI-related data breach
IBM Security
0
production-grade oversight solutions existed before Attest
Market analysis
Pricing
Transparent pricing with no hidden fees. Pay for what you use.
For testing and development
For production deployments
For scale and compliance
Deploy with validation, oversight, and compliance infrastructure from day one.