Introducing AI Agents that audit you
Hello Product Hunt! 👋
I’m Arahat, and I’ve spent the last few years navigating the intersection of technology and finance—first in technical management at a major bank and now as a founder. I'm currently building RightToAudit.ai.
We are tackling a problem that has haunted every growth-stage startup and enterprise: the "Audit Season" panic. Most of us view compliance as a reactive, manual, and high-stress event. My insight from building in this space is that the industry is hitting a breaking point where manual sampling and "point-in-time" checks are no longer sufficient for the speed of modern tech.
We are building Autonomous Audit Agents to move the world toward a state of Continuous Trust. Instead of a human checking a spreadsheet once a quarter, our agents monitor internal controls and process validation 24/7 across frameworks like RBI, SEBI, and SOC2.
The two main challenges we're solving are:
The "Screenshot Chase": Automating evidence collection so teams don't spend weeks pulling data manually.
Contextual Risk: Teaching AI to not just "flag" data, but to understand regulatory context and suggest specific remediation steps.
We’ve validated the demand through recent incubator programs and are now at the stage where we are refining how these agents interact with complex, multi-framework environments.
I’d love to get the community’s perspective on a few things:
The Trust Gap: For those in regulated industries (Fintech, Healthtech), what is the biggest hurdle in trusting an AI agent with your sensitive audit data?
Actionable UX: How do you prefer to receive compliance "findings"? Is a real-time dashboard helpful, or does it just create more "alert fatigue"?
GTM Strategy: We are currently seeing high interest from fintechs. If you’ve built in highly regulated sectors, what was your most successful "foot in the door" strategy for compliance teams who are typically AI-cautious?
I’m looking forward to connecting with other makers and hearing your "audit nightmare" stories!
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