3x Faster Incident Resolution with AI-Driven RCA Analyzer

Aziro's NGM Innovation team built the AI-Driven RCA Analyzer, a governed AI orchestration platform, to demonstrate end-to-end incident investigation, root cause analysis, remediation, and business impact for a Leading Financial Services Organization, without waiting on full access to the client's real systems.

Build a credible AI demonstration without access to the client's actual systems or workflows.

• Incomplete Client Visibility
  The team had no access to the client's products, databases, monitoring tools, or governance mechanisms before needing to demonstrate a working AI solution.

• Generic Demos Don't Convince
  A proof of concept built on generic sample data would not reflect the fragmented systems and legacy infrastructure of a real financial environment.

• AI Needs Guardrails, Not Just Answers
  Any AI shown to a regulated financial institution had to prove it could operate under governance, privacy, and human oversight, not just answer questions.

The NGM team built a simulated fintech environment and layered a governed AI orchestration platform on top of it, from detection to a proposed fix.

• A Realistic Simulated Environment
  Our Financial Application, a simulated digital banking product combining modern microservices with legacy infrastructure, gave the POC real problems to solve instead of generic sample data.

• Multi-Agent RCA & Continuous Monitoring
  The AI-Driven RCA Analyzer investigated incidents across three levels, from ticket to code to runtime, while a Live Monitor continuously watched for emerging security and compliance issues.

• Governed, Human-Approved Remediation
  Every proposed fix passed through PII protection and prompt-injection defenses, then required human approval before a pull request was ever created and submitted for review.

The POC translated technical capability directly into illustrative engineering and business outcomes, using sample data throughout the demonstration.

• 3x acceleration in incident resolution compared to the traditional human-driven baseline used.

• 16→4Hrs mean time to resolution dropped from roughly sixteen hours to about four across the demonstration.

• 2.5x gain in engineering efficiency achieved through AI-driven investigation and analysis.

• 250% return on investment for the organization.

For regulated enterprises, AI has to do more than answer questions. It must work safely inside complex, fragmented systems while respecting governance, privacy and human oversight. Aziro builds governed AI orchestration that takes incidents from detection through root cause analysis to a proposed fix. Even without early access to your systems, we can create realistic simulated environments to prove value first.

The impact is measurable. In a recent proof of concept, our AI-driven RCA approach delivered 3x faster incident resolution, cutting mean time to resolution from 16 hours to about 4. It also delivered a 2.5x gain in engineering efficiency. We translate technical capability into clear business outcomes, so leadership can see the value of AI from day one.