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Audit Ready AI | AR AI
I built AR AI for startups with enterprise deals.
10 followers
I built AR AI for startups with enterprise deals.
10 followers
Audit Ready AI checks your setup against the SOC 2 framework, scores how ready you are, and hands you an ordered fix list, so the answers exist before procurement asks.



How does it actually figure out the fix list, is it pulling from a static SOC 2 checklist or is the AI looking at evidence I upload?
@ervabuldan good question. The control set itself is the real Trust Services framework, 49 controls, not a loose checklist. For the parts of your stack it can connect to GitHub it detects the actual state automatically. For everything else you attest or upload evidence, and it tells you per control exactly what an auditor expects to see. The AIs main job is turning all of that into the policy documents. So, framework-anchored, auto-detected where it can reach, evidence-guided everywhere else.
How does this handle evidence collection for things like access reviews or change management, or is it more focused on just the policy and control documentation side of SOC 2?
@mer1045076 both, but honestly at different depths right now. Anything tied to GitHub, change management and access on the repo side, branch protection, required reviews, who has access, it reads directly. Broader org-wide access reviews are currently guided: it tells you what to capture and stores it in the evidence locker rather than pulling it for you. More integrations (AWS is next) will automate more of that. Policy and control docs it generates for you.
How does the scoring actually work, like is it a simple checklist against SOC 2 criteria or do you weigh gaps by how much they'd slow down an audit?
@ekindzalannnbs the score is the percentage of applicable controls you've actually satisfied, like rolled up per category and overall, with tiers like Getting Close and Audit Ready (Enterprise I call it). The fix list on top of it is weighted, not alphabetical. It pushes the evidence-heavy families first, starting with access controls and change management, because those are where auditors dig hardest and where deals actually stall bro. So yeah, clean percentage for the score, prioritized by impact for what to fix first.
How does it actually compare against Vanta or Drata in practice, especially for the smaller teams that don't need the bells and whistles but still want trustworthy evidence?
@azat825266 straight up: Vanta and Drata are built for companies that already have a compliance owner and the budget for a full platform plus the services around it. AR AI is deliberately narrower. It's for the founder who just got the questionnaire and needs to know where they stand and get the documentation, before they can justify a platform at that price. Same framework underneath. Once you're big enough to need continuous monitoring across a dozen integrations, those tools earn their cost. This is for the stage right before that.
Does this just scan for missing controls, or does it also look at whether the ones you already have are actually configured correctly enough to satisfy an auditor?
@yeimoyranshdr for the stack it connects to, it checks configuration, not just presence. On GitHub, it's looking at whether branch protection and review requirements are actually enabled the way an auditor expects, not just that a repo exists. For controls it can't see directly yet, it flags what evidence proves correct configuration, and you supply it. As more integrations go live, more of that config-checking becomes automatic.
How does it actually keep up as my controls change week to week, does it run continuous checks or just point in time scans?
@alparslanclnj great question. Right now, AR AI focuses on readiness assessment rather than full continuous monitoring.
For connected systems like GitHub, it checks the current state of relevant controls. For other areas, it guides you on what evidence is needed and tracks your readiness progress.
Continuous checks and more integrations are part of the roadmap.
Love how the readiness score turns SOC 2 from a vague anxiety into something concrete you can actually act on. The ordered fix list feels like the kind of detail that came from someone who's sat through a real audit scramble.
@kadriyeukuehi6 Thanks Kadriye, that's exactly the reaction I was going for. SOC 2 feels like fog until you can see a number and a next action. Appreciate you taking a look.