Will an auditor accept AI-collected evidence?

Yes — as long as there's a human review trail, the evidence cites primary sources (a screenshot of an IAM policy is the policy, not the AI's summary), and the agent's actions are themselves auditable. We design for all three. Some auditors require additional process; we'll check yours.

Does this replace Drata / Vanta / Secureframe?

No — we extend them. They're great at framework templates and continuous monitoring; they're weaker at the long-tail of custom controls and the assembly of the audit package itself. Most clients keep their compliance platform and add a layer of agents on top.

Which frameworks do you support?

SOC 2 (Type I & II), HIPAA, ISO 27001, GDPR, PCI DSS, and HITRUST. New frameworks add roughly 2–3 weeks of mapping work — the agents themselves are framework-agnostic.

How is this different from a 'compliance chatbot'?

Chatbots answer policy questions. These agents take actions: querying source systems, pulling artifacts, mapping controls, flagging drift, assembling packages. The work that used to be six weeks of someone's calendar is now a continuous background process.

Compliance Copilot Engineering

Compliance Copilot — AI for SOC 2, HIPAA, GDPR Evidence

Audit prep is six weeks of someone's calendar gone. We build AI agents that collect evidence, map controls to your real policies, and assemble the audit package — turning a quarter of work into a few days, with a paper trail an auditor will accept.

How an evidence cycle runs

1
Collect
Agents pull from IAM, repo, ticketing, infra
2
Map
Each artifact tagged to a control
3
Review
Human queue for low-confidence items
4
Drift check
Flag controls that regressed since last cycle
5
Package
Audit-ready export, sized for your auditor

Cycle runs continuously — audit prep becomes 'export the package', not 'start the project'.

What you get

Evidence collection agents that pull from your ticketing, IAM, repo, and infra systems on a schedule

Control-mapping layer: AICPA TSC, HIPAA Security Rule, GDPR Art. 32, ISO 27001 — pick what you need

Policy-to-evidence linking, so each control has a primary-source artifact, not a screenshot of someone's word

Drift detection: a control that was compliant last month and isn't this month gets flagged immediately

Audit-package assembler — exports the structured bundle Drata, Vanta, Secureframe, or your auditor expects

Human-review queue for the cases the agent isn't sure about — auditors require it and we wouldn't ship without it

Cost model per audit cycle — typical clients save 60–80% of audit-prep hours after the second cycle

When it fits

You go through SOC 2 Type II, HIPAA, ISO 27001, or GDPR audits annually or more
Audit prep is a measurable cost in calendar weeks and key-person time
You have or use a compliance platform (Drata/Vanta/Secureframe) and want to extend, not replace it
Leadership signed off on AI in the compliance loop — with human review and audit trails

When it doesn't

You're pre-first-audit — get through one manually before automating, you'll know what to automate
Your auditor explicitly forbids AI in evidence collection — some do; we'll check before we build
There's no human in the loop ever — auditors will not accept fully-automated evidence

Process

Week 1: control inventory and source-system survey. Weeks 2–4: evidence collection agents wired up for the top 60% of controls (the ones that produce 80% of the work). Weeks 5–6: review queue, drift detection, and audit-package export. Week 7: dry-run against a recent audit so you see the package the auditor will see.

Full delivery process

Pricing

Fixed-price build $60–160k depending on frameworks and source-system count. Quarterly retainer for control expansion and framework additions. Compliance platform fees (Drata, Vanta, etc.) billed at your existing rates — we extend, not replace.

See engagement models

Case studies

Financial Technology

FinTech Mobile Banking Platform

Secure, AI-powered mobile banking serving 500K+ users with instant transfers and biometric authentication.

FAQ

Will an auditor accept AI-collected evidence?: Yes — as long as there's a human review trail, the evidence cites primary sources (a screenshot of an IAM policy is the policy, not the AI's summary), and the agent's actions are themselves auditable. We design for all three. Some auditors require additional process; we'll check yours.
Does this replace Drata / Vanta / Secureframe?: No — we extend them. They're great at framework templates and continuous monitoring; they're weaker at the long-tail of custom controls and the assembly of the audit package itself. Most clients keep their compliance platform and add a layer of agents on top.
Which frameworks do you support?: SOC 2 (Type I & II), HIPAA, ISO 27001, GDPR, PCI DSS, and HITRUST. New frameworks add roughly 2–3 weeks of mapping work — the agents themselves are framework-agnostic.
How is this different from a 'compliance chatbot'?: Chatbots answer policy questions. These agents take actions: querying source systems, pulling artifacts, mapping controls, flagging drift, assembling packages. The work that used to be six weeks of someone's calendar is now a continuous background process.

Ready to talk compliance copilot engineering?

30-minute scoping call. No obligation, no hard sell.