AI in audit pays back in three measurable ways: (1) automation of routine procedures (journal entry testing, ratio analysis, vouching) — typically saving 20-40% of execution hours; (2) acceleration of judgement (instant generation of memos, draft observations, anomaly explanations) — typically saving 10-20% of senior hours; (3) quality improvement (better risk targeting, fewer review iterations, faster sign-off) — harder to measure directly but reflected in reduced rework and engagement quality scores.
The ROI calculation depends on the firm's engagement mix. Repetitive-heavy audits (private companies, small NBFCs, bank branch audits) yield highest ROI because automation gains are largest. Judgement-heavy audits (listed companies, complex group audits) yield ROI through senior-time acceleration. ICAI's Guidance Note on Audit Quality Maturity Model (AQMM) recognises technology adoption as a quality lever.
Beyond direct cost savings, AI adoption helps the firm grow capacity without hiring — a key constraint in Indian CA practice given the shortage of qualified staff. Firms using AI typically handle 30-50% more engagement volume with the same team size, or maintain volume while moving senior staff from execution to advisory.
A 25-person mid-tier audit firm with 80 statutory audit engagements per year, average engagement 200 hours (16,000 audit hours total), average hourly billing rate ₹2,500. CORAA subscription cost ₹8 L per year.
