HomePortfolio Stabilizing a Documentation Management Platform: An AI Recovery Success Story

Stabilizing a Documentation Management Platform: An AI Recovery Success Story

AI Recovery
SaaS
iOS
Microsoft Azure
Swift
Legal Services

In the rush to meet market demands, many organizations are turning to AI-accelerated development (vibe-coding) to build or modernize complex applications. However, moving from a successful AI-generated demo to a stable, production-ready environment often reveals critical gaps in architecture, security, and reliability. This case study explores how a leading provider of documentation management solutions — serving over 5,000 organizations in the legal and real estate sectors — recovered their product ROI through a focused AI Recovery intervention.

Stabilizing a Documentation Management Platform: An AI Recovery Success Story

The customer

The client provides a high-stakes document management platform used by law firms and real estate agencies to handle sensitive legal contracts, property records, and compliance data. Their ecosystem requires 100% data integrity and seamless integration with third-party identity providers and financial systems.

The challenges

The organization attempted to modernize its core workflow using AI-driven development tools to accelerate time-to-market. While the initial prototypes appeared functional, the product hit a "production wall" once deployed to their 5,000+ client organizations.

The business faced several critical pain points:

  • The "Money Path" was Broken: Users experienced intermittent failures during the core document-signing and upgrade workflows. Authentication loops and broken checkout screens led to high abandonment rates.
  • Systemic Instability: The AI-generated code lacked proper error handling, leading to infinite loading loops and frequent application crashes under moderate load.
  • Integration Debt: While the product demoed well in isolation, it failed to maintain stable contracts with external EHR and CRM partners. Changes in partner APIs would cause the entire document retrieval chain to collapse.

Security & Scaling Bottlenecks: The "vibe-coded" architecture relied on insecure workarounds for data handling.As the user base grew, the lack of service decoupling created massive performance bottlenecks that threatened the platform's reputation.

The solution

To protect the client's investment and restore platform stability, we initiated our structured AI Recovery service, a time-boxed technical intervention designed to move the product from "unreliable" to "enterprise-grade."

Phase 1: The 3-Day Audit

We began with a deep-dive diagnostic to map the system topology and identify single points of failure. Our team scanned dependencies for vulnerabilities and reviewed PII (Personally Identifiable Information) flows critical to legal compliance.

  • The Verdict: The system was flagged as Yellow (Structural Problems). While the core logic was salvageable, the service boundaries were blurred, and the integration patterns were non-standard, requiring a 10-day stabilization sprint.

Phase 2: 10-Day Stabilization (Stage 2b)

Our engineering team implemented a series of high-impact fixes to replace AI-generated workarounds with industry-standard patterns:

  • Architecture & Reliability: We decoupled service boundaries and implemented retry/circuit-breaker patterns. This ensured that if a third-party partner's API flickered, the entire documentation app wouldn't crash.
  • Hardening Security: We moved away from hardcoded secrets to a robust secrets management system and implemented comprehensive audit logging, a non-negotiable requirement for legal-tech clients.
  • API & Data Validation: We hardened the API layer with strict rate limiting and input validation, preventing the "hallucinations" in data processing that had previously caused document corruption.
  • DevOps & Observability: To prevent future outages, we established environment parity (Dev/Staging/Prod) and deployed an observability stack for real-time error tracking and alerting.

The outcome

By the end of the 10-day recovery period, the documentation management app moved from a state of constant "firefighting" to a stable, scalable product.

  • Restored User Trust: The "money path" (login, checkout, and document upload) achieved 99.9% reliability.
  • Operational Clarity: The internal team received comprehensive system documentation, architecture diagrams, and runbooks for failure scenarios, enabling them to maintain the system without external support.
  • Security Compliance: The platform now meets the rigorous GDPR and PII data-handling standards required by the legal and real estate industries.
  • Accelerated ROI: The organization finally began realizing the value of its modernization efforts, moving from a "failed experiment" to a revenue-generating asset in less than two weeks.

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Alex Tsimashenka

Alex Tsimashenka

Business Development Director

a.tsimashenka@altoros.com +1 (650) 419-3379