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Rescue the failed effort.
Then modernize it cleanly.

When a brittle system or repeated-failure modernization effort still has to work, Intelligrit focuses on the smallest valuable rescue slice and ships it fast.

Rescue track record first. Modernization second.

The strongest proof here is rescue work: a failed repeated effort, a hard deadline, and a system that still had to keep running. Key Intelligrit personnel helped compress that reality into a working replacement in 75 working days. That is the kind of modernization terrain this offer is designed for.

75
Days to Production
1.3M
Lines Modernized
3
Repeated Failures Broken
3
Custom Tools Built

Legacy Rescue And Scope Compression

Before touching replacement code, Intelligrit focuses on understanding what the system actually does, what matters, and what can be ignored.

  • Current-state analysis before implementation promises
  • Workflow and dependency mapping
  • AI-assisted legacy analysis and translation
  • Smallest valuable scope first

Safe Cutover

We favor deployment patterns that reduce operational fear: parallel running, verification, rollback, and controlled handoff.

  • Parallel running with behavioral verification
  • Gradual traffic migration (canary / blue-green)
  • Rollback capability at every stage
  • No big-bang cutover gamble

Customer-Environment Deployment

Modernization only matters if the new system can run where the buyer actually needs it.

  • AWS GovCloud, Azure Government, on-prem, or hybrid
  • ATO and boundary-aware deployment assumptions
  • Simple operational footprints where possible
  • No unnecessary phoning home

Maintainable End State

The point is not just to replace the old thing. The point is to leave behind something smaller, simpler, and easier to change.

  • Web apps and backend automations over unnecessary complexity
  • Typed stacks and pragmatic architectures
  • Documentation and operator handoff
  • Built to keep shipping after us

How We Move So Fast

AI has changed modernization economics. We use large language models to read and understand legacy codebases at a scale no human team could match, then generate and validate modern equivalents. Our engineers review and guide the AI; they do not hand-translate line by line.

During the 75-day rescue engagement, 3 custom tools were built specifically for the job. That is normal for us. Custom tooling is part of how rescue work becomes bounded enough to ship.