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Bead AI

AI agents that run SOX control testing and internal audit work from your existing test plans and produce working papers in your templates

Audit & fraud detection50+ practice Editor's score: 3.8 / 5

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About Bead AI

Bead AI makes AI agents for SOX testing and internal audit. Its Testing Agent takes a team's existing testing plan and follows it step by step, evaluating samples or whole populations, identifying exceptions and writing a decision log that shows each judgment and the evidence behind it. PBC Collection and PBC Validation agents gather evidence from source systems and check each file as it arrives, and a Working Papers Agent produces marked-up support in native Excel, in the team's own templates.

Bead AI says it automates 80 percent of manual testing work and cuts overall testing time by 70 percent. It holds SOC 2 Type II, says it does not train on customer data, offers cloud, private cloud or on-premises deployment, and has an MCP connector for other AI tools. Pricing is not published; the site offers demos and calls with the team.

The company was founded in 2024 by a former compliance lead at Meta and is a small, early-stage team.

Key Features

  • Testing Agent follows existing control testing plans step by step
  • PBC collection and validation agents for evidence requests
  • Working papers in native Excel, marked up with linked evidence
  • Decision logs, SOC 2 Type II, and cloud, private cloud or on-premises deployment
The AI Ledger

Our in-depth review

Bead AI is built for internal audit and SOX compliance teams that spend most of each cycle collecting evidence, testing controls and copying support into working papers. It automates that loop rather than replacing the auditor's judgment.

What it does well. It works from the team's existing testing plan, with no configuration, which lowers the barrier compared with tools that need controls rebuilt in their own format. Testing full populations rather than samples, decision logs tied to evidence, and working papers in the team's own Excel templates are the right outputs for audit, where reviewers need to trace every conclusion. SOC 2 Type II, a no-training commitment and an on-premises option address the data concerns that usually stall AI in audit.

Where it falls short. Pricing is not published, so budgeting needs a sales call. The headline savings (80 percent of manual work, 70 percent less testing time) are the vendor's own figures. The company is young and small, so check support capacity and roadmap commitments before relying on it for a year-end cycle. Its focus is internal audit and SOX, so it is not a tool for external audits of small companies or for general practice work.

Best for. Internal audit, SOX and risk teams at listed or pre-IPO companies, and the advisory firms that co-source their testing. Firms doing external audit of smaller clients will find DataSnipper or Fieldguide a closer fit.

Verdict. A focused, credible approach to AI control testing with the right audit trail; promising, but young, so pilot it on one control cycle first.

At a glance

Category
Audit & fraud detection
Best for
50+ practice
Editor's score
3.8 / 5

A focused AI agent for SOX control testing with a proper audit trail; promising but young, so pilot it on one cycle first.

Pricing
Custom pricing on request (demo and call with the team)
Last verified
2026-10-30

Integrations

  • Excel

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