DRAVOS
AI AUDIT EXPLAINED

What Is an AI Audit? Phases, Findings, and How It Differs From Consultancy

By Vyom Arora — CEO & Founder, Dravos · July 2026

An audit, at its core, is a structured comparison between how something works and how it should work. An AI audit automates the intelligence layer of that comparison: it ingests how your processes actually operate, compares them against a defined benchmark — an ISO standard, an internal policy, an industry best practice, or custom criteria — and produces prioritised, actionable findings.

The four phases of a Dravos AI audit

PhaseWhat happensDuration
1. DiscoveryMap processes, systems, workflows; gather documentation and stakeholder input1–3 days
2. AnalysisCompare current state against the benchmark; identify gaps, bottlenecks, root causes1–2 days
3. ReportingStructured report: findings, severity ratings, prioritised action plan — human-reviewedUnder 1 day
4. Implementation (optional)Work the priority stack together; track progress against the same findingsAgreed timeline

What an AI audit finds

Bottleneck identification is the most common request: where is the operation slowing down, what is it costing, and what should be fixed first. Example findings from Dravos deployments across industries:

AI audit vs traditional consultancy

A traditional process audit costs tens of thousands, takes weeks, and typically ends with a report and generic recommendations — implementation is left entirely to the client. An AI audit is faster and more systematic, and with Dravos it doesn't have to stop at the report: in the Audit + Implementation engagement mode, the team that found the problems works on fixing them, tracked in the same platform.

Three engagement modes

See it on your own audit

A Dravos demo takes 20 minutes — live report generation with your standard, your audit type, your sample data. Two complimentary reports included.

Vyom Arora, CEO & Founder — +91 88269 10404

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