BFSI · AEM, AI Audit Accelerators
Canara HSBC Life: AI-Powered AEM Audit in 48 Hours
Canara HSBC Life suspected serious technical debt in its AEM estate but had no visibility — and the manual audits quoted at 4–6 weeks would have stalled the planned revamp before it started.
48 hrs
full audit vs 4–6 weeks quoted
147
issues identified and prioritized
85%
of findings with AI-generated fixes
200+
pages and full codebase analyzed
01
The Challenge
You can't plan a replatform on suspicion. The insurer's team believed the legacy AEM implementation carried security exposure, accessibility gaps and performance debt, but manual audit quotes ran four to six weeks — long enough to push the revamp timeline into the next budget cycle. They needed the facts at a speed traditional consulting doesn't move at.
02
The Solution
We pointed our AI audit accelerators at the estate. Agents crawled 200+ pages and analyzed the full AEM codebase; automated Lighthouse and static-security (SAST) scanning ran across the surface; a WCAG accessibility gap report generated itself against the rendered pages. Everything landed in a technical-debt score with fixes ranked by impact and effort — and for most issues, AI-generated remediation with effort estimates attached.
03
The Results
The complete audit took 48 hours against the 4–6 weeks quoted elsewhere. It surfaced 147 concrete issues across security, broken components, accessibility and performance — and 85% of them came with auto-generated remediation, turning the report from a findings document into a work plan. The revamp roadmap started from evidence, on schedule.
- AEM 6.5
- AI Audit Agents
- Lighthouse CI
- SAST Scanning
- WCAG Analysis
More client work
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