Deploy AI-powered automation with controls, evidence, and accountability built in. Every decision traced. Every workflow verified. Every outcome auditable.
Works with LangChain · CrewAI · AutoGen · OpenAI Agents · custom agents · any enterprise AI platform
Compliance checks happen monthly or quarterly. Between audits, an AI agent can make thousands of decisions — and thousands of violations. By the time an auditor notices, the exposure is already systemic.
AI agents make consequential decisions — credit, trading, underwriting, advisory — with no audit trail you can trust. Regulators are asking questions you can't answer.
Governance framework, observability platform, guardrails toolkit — every vendor covers one slice. No one verifies the full reasoning. No one produces proof.
AI decisions are happening continuously. Controls and evidence need to be continuous too.
Not a dashboard. Not a report. A verification engine that analyzes every AI agent decision — input, reasoning, and output — flags violations, and produces a tamper-evident proof.
Every AI decision — input, reasoning trace, and output — captured with full context. Not sampled. Not aggregated. Every single one. We see the reasoning, not just the result.
Policy rules run against every decision in real time. When a rule breaks — bias threshold, data scope, output constraint — you know within seconds, not days.
When a violation is detected, Arbis flags it, assigns severity, escalates to the right owner, and holds deployment until resolved. Human oversight at every critical decision point.
One-click regulatory reports for the EU AI Act and COSO ICIF. Full decision history, policy coverage, and a tamper-evident verification log — formatted for the exact framework your auditors expect.
Define compliance rules once — they run continuously against every decision. Version-controlled, auditable, deployed like software. Your legal team and your engineers speak the same language.
Arbis traces the full call chain when AI agents hand off to other agents — cross-system lineage with verification at every boundary, not just single-agent snapshots.
Plug Arbis into any AI agent via SDK or API. Supports LangChain, AutoGen, CrewAI, custom LLM flows, and enterprise AI platforms. Non-invasive. No re-architecture required.
Set compliance rules, data access boundaries, output constraints, and regulatory requirements. Import from existing frameworks or start fresh. Every policy is versioned and auditable.
From day one, Arbis monitors every decision, flags violations in real time, and escalates to human reviewers. Continuous evidence generation — and a full audit log whenever you need it.
Arbis is built for enterprises deploying AI agents in high-stakes domains: banking, insurance, telecom, healthcare, government. If your AI makes decisions that matter, you need controls, evidence, and accountability built in from day one.
For enterprises deploying or planning AI agents in regulated environments. Shape the product. Early access. Direct engineering support.
For teams building AI agents that need production-grade controls. SaaS deployment. Guided onboarding. Start verifying fast.
Radhika Venkatraman, CEO — Fmr CTO Verizon · CIO/CDO Credit Suisse · Sr. MD Cerberus Capital
Prof. Sriram Vishwanath, Head of Research — Byers Chair Professor Georgia Tech · MITRE Tech Fellow · Fmr Professor UT Austin · PhD Stanford
Dr. Yanni Georghiades, Head of Engineering — AI & Blockchain Expert · PhD UT Austin