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Financial Services April 20, 2026 · 8 min read

Automating Internal Audit for a Fintech Leader

How a rapidly scaling fintech reduced its audit cycle from 12 weeks to 4 weeks by automating evidence collection and control testing with AUDITDEX.

Background

A Series C fintech processing over ₹2,000 Cr in transactions annually faced a growing compliance burden. Its internal audit team of three was manually collecting evidence from six systems, spending 60% of audit time on data gathering rather than analysis. With an RBI inspection approaching and SOC 2 Type II certification required by enterprise clients, the team needed to scale without doubling headcount.

The Challenge

  • Evidence collection spread across AWS CloudTrail, Jira, Salesforce, BambooHR, and two internal databases
  • No centralized audit trail — evidence stored in shared drives with inconsistent naming conventions
  • Control testing conducted via spreadsheets, with review comments in email threads
  • Audit report generation took two weeks of manual formatting

The Solution

The team deployed AUDITDEX’s DRL Engine and Ops Audit module in a six-week implementation. Key configuration decisions:

Phase 1 — Evidence Pipeline (Weeks 1–2): Automated pulls from all six source systems using REST API connectors. Evidence ingested into the AUDITDEX repository with automatic metadata tagging (control ID, test period, preparer).

Phase 2 — Control Testing Workflows (Weeks 3–4): 84 controls mapped to AUDITDEX workflows. Each control assigned an owner, testing procedure, and sample methodology. Automated reminders replaced manual follow-up emails.

Phase 3 — Reporting (Weeks 5–6): Report templates configured for RBI format and SOC 2 trust service criteria. Draft reports generated automatically from completed testing workpapers.

Results

Metric Before After
Audit cycle time 12 weeks 4 weeks
Evidence collection time 60% of audit hours 15% of audit hours
Control testing capacity 84 controls/year 84 controls/quarter
Report generation time 2 weeks 2 days

Key Takeaway

The highest-leverage intervention was not the AI — it was the structured evidence pipeline. Once evidence arrived automatically and was correctly tagged, the audit team could spend their time on judgment rather than logistics. AUDITDEX provided the structure; the auditors provided the expertise.

What’s Next

The team is now piloting AUDITDEX’s Risk Assessment module to build a continuous risk monitoring capability ahead of their planned IPO.

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