FinTrack came to EyeSoft with a critical problem: their legacy financial dashboard was built on a 12-year-old PHP codebase that was crashing under load, costing $400K per year just to maintain, and completely unable to process real-time data.
The Challenge
Leadership issued a bold mandate: rebuild the entire platform in under 6 months, maintain 100% data fidelity during migration, and add AI-powered forecasting—all while keeping the existing system live for 8,000 daily active enterprise users.
- $400K annual maintenance burden from vendor lock-in, custom patches, and 12 years of technical debt
- Zero real-time capability — batch jobs running every 4 hours meant enterprise clients made decisions on stale data
- 8,000 users, zero downtime allowed — enterprise SLAs made a “big bang” cutover impossible
- 14 third-party integrations wired directly into monolithic code with no documented contracts
Our Approach
We ran a 4-week Discovery sprint before writing a single line of new code—fully mapping data architecture, API contracts, and user journeys across all 14 financial data providers.
- Discovery Sprint — Full audit of data flows and API contracts. Produced a zero-ambiguity technical blueprint in 4 weeks.
- Strangler-Fig Migration — Incremental module shipping with progressive traffic routing. Zero-downtime migration over 18 weeks.
- AI Forecasting Module — Fine-tuned TimesGPT on 8 years of historical data, achieving 94% accuracy on 30-day cash-flow forecasts.
- Cohort Rollout & QA — Feature-flagged rollout with live rollback. 100% data fidelity verified at every migration stage.
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“EyeSoft didn’t just rebuild our platform — they transformed our product entirely. The AI forecasting alone has become our biggest sales differentiator. We closed a $3M enterprise deal last month where the buyer specifically cited it.”
Marcus Webb — Chief Executive Officer, FinTrack Inc.
The Results
Delivered in 6 months. Maintained 100% data fidelity throughout. Zero unplanned downtime on launch day.
Daily active sessions surged within 60 days of launch
Maintained across 8,000 enterprise users with no SLA penalties
From $400K annual maintenance to under $160K