Instantaneous deployment
No engineering team required. Andera works day one, in the formats your auditors already use.
AAcme IncFY26 SOXITGC-04 User Access Review
User Access Review
ITGC-04Logical Access
Objective statementLogical access to key financial applications is reviewed by management on a quarterly basis.
A1
A
B
C
1
Name
Role
Changes
2
Adam Smith
Cash Manager
Remove employee (terminated)
3
Will Snow
AP Manager
4
Phillip Goat
AP Manager
5
Yoko Ando
Cash Operations
6
Zeke Hunter
Cash Operations
7
Emily Taylor
Currency Manager
Features
Fieldwork automated, end-to-end.
Control Testing
Upload evidence in any format and have Andera return audit ready workpapers in the format your team uses today.
Control passes with no deviationsAll attributes passed with no exceptions.
Evidence Gathering
Exception Management
Upload evidence in any format and have Andera return audit ready workpapers in the format your team uses today.
Control passes with no deviationsAll attributes passed with no exceptions.
Vision
Focus on risk, not reconciliation.
Built for auditors by auditors, Andera is designed to seamlessly integrate into your environment so you can spend your time where it matters.
Scale your best auditor.
Andera doesn't replace judgement. It applies your best auditors standards instantly across even your most complex controls.
Adapt to a changing environment.
Unlike RPA, Andera adapts as your environment changes, eliminating the need for constant tech updates.
Security
Enterprise-grade security.
Andera processes sensitive audit data under independently certified controls.
- SOC 2 Type II certified. Controls independently audited.
- No model training. Your data is not used to train AI models.
- No third-party sharing. Data is not sent to outside providers.
Give your team their
best hours back.
About
We are the industry experts on how to apply AI to audit
Andera has done the largest scale AI control testing deployments to date. Backed by Bain Capital & Lightspeed, and built by the people who know audit best.
Messy data should not prevent AI adoption
Well designed AI systems should be able to handle any data that human teams are able to read. With systems constantly changing and data formats being dynamic, getting perfectly clean data is an impossible goal. It is up to AI providers to build systems that can work well with messy data, rather than asking companies to alter their data to work with more rigid systems.
Adopting AI to its full potential is not an overnight change
AI adoption is an investment, and it pays off faster the earlier you make it. Andera is built to get your team productive quickly and support you along every step of the journey.
The people behind Andera, building the world's first AI auditor.
Most technology in the audit space hasn't delivered on the promise of reducing manual toil. Historically, teams have lacked either engineering or audit expertise to build a solution that is at the forefront of capabilities for what technology offers at that time and was purpose built to the problems that auditors face.
Andera combines best in class engineering with best in class audit expertise to build a tool that auditors truly love. Andera is intentionally half auditors and half engineers so that every engineer can apply their AI expertise to specific problems that auditors identify.
From the Andera team
FAQFrequently
Frequently
asked questions
Other RPA solutions typically require a team of engineers to maintain and are severely limited in the number of controls that they can automate. For instance, RPA solutions struggle to write documentation, analyze IPE, and handle communications with control owners.
On top of that, when controls or evidence changes in format RPA solutions need to be completely reprogrammed, costing hundreds of engineering hours, typically making them more expensive than they are worth.
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