AI without the trail is not assurance.
If a CAE has to sign on a draft, the system needs to show what fed it, who reviewed it, and what changed. That is the floor, not a feature.
About Audvera
Building an auditable AI review path for real audit work.
Audvera is in a controlled design-partner pilot for selected Engagement procedures and Controls tests. AI analysis stays inside a reviewable workpaper path with recorded inputs, evidence coverage, citations, auditor conclusions, and attributed review.
Related risks, controls, procedures, tests, evidence, and findings remain distinct records connected through explicit links where relevant. Human auditors decide what support is sufficient and own every conclusion and sign-off.
The founder — short version
Two decades inside audit. Now writing the code.
Lalit B. — Founder of Audvera
Director of Internal Audit (current role) · 18 years across IT audit, audit analytics, and quality assurance · now financial / operational audit · driving AI adoption inside everyday audit workflow.
I built Audvera after two decades inside internal audit, IT audit, audit analytics, and quality assurance — risk-based planning, control design, SOX ITGC, vendor and concentration risk, audit automation, and the mentoring of auditors against the IIA Standards. The years inside the function are why the deficiency hierarchy, review gates, and signoff path are mandatory in this product, not optional.
After watching audit work get re-typed across Word, Excel, SharePoint, and three GRC tools that didn’t talk to each other, the question changed from “which tool do we buy?” to “what would a tool look like if it was built by someone who had to defend the workpaper at year-end?”
That is the posture behind Audvera. The AI generation pipeline and the explicit links between distinct risks, controls, tests, evidence, and findings — every part of how this product reasons about selected audit work — was designed by someone who has sat on both sides of the review.
The goal isn’t to make audit faster by removing the auditor. It is to remove the rebuild — the second and third typing of the same finding into the same report.
What we believe
Four positions we’re willing to defend.
Related audit records should be explicitly linked.
Risks, controls, procedures, tests, evidence, and findings remain distinct records. Explicit links preserve context and traceability without pretending they are one record.
Pilot value must appear in reviewable audit work.
Design partners evaluate selected evidence-testing and workpaper-review procedures with controlled access, visible support, and named human review.
Built by an auditor who codes, not a coder guessing at audit.
Two decades of internal audit, IT audit, and audit analytics work — now paired with the engineering to ship it. The product is opinionated because the problem was lived.
How we got here
From the workpaper to the codebase.
Step 01
Inside the audit function
Two decades across internal audit, IT audit, audit analytics, and quality assurance. Risk-based engagement leadership, data-driven testing design, and mentoring auditors against IIA Standards, SOX, and PCAOB expectations.
Step 02
Build began
Audvera started as a single Flask service answering one question — what would an audit tool look like if AI analysis began with recorded procedure context and eligible evidence instead of an empty prompt box.
Step 03
Auditable workpaper path
Selected Engagement procedures and Controls tests now exercise extraction verification, evidence binding, AI analysis, coverage and citation records, auditor conclusions, and attributed review gates.
Step 04
Controlled pilot
Audvera is working with a limited number of design partners. Access is approved and provisioned directly, with scope and reference pricing discussed before pilot work begins.
Design-partner pilot
For internal audit teams ready to test selected AI-assisted workpapers.
Pilot scope is agreed with each design partner and access is provisioned directly by Audvera. The pilot is not a self-service trial or a promise of a complete audit platform.
Encrypted data in transit and at restPCAOB · IIA · SOX · GAAS · COSO workflow alignmentAI outputs include disclosure and reviewer controls