Salt Square

Enterprise software

AI-accelerated platform migrations for an enterprise software vendor

Salt Square built an AI-enabled migration team that turns a software vendor's largest, most manual platform migration projects into repeatable, tool-assisted programs, converting thousands of files of legacy code and automating field mapping at a scale manual delivery could not reach.

The challenge

The vendor is moving enterprise customers from legacy, CRM-native products onto its own cloud-native platform. Each migration historically meant large teams doing highly manual work:

  • Converting custom Apex business logic to C# .NET. One enterprise customer alone had roughly 2,500 files of custom code to migrate.
  • Re-creating field mappings from a legacy contracts system by hand: roughly 400 mappings per client, across a portfolio of some 300 clients for a single end customer.

At that scale, manual migration is slow, error-prone and expensive. The vendor needed a partner who could bring AI tooling into the delivery process itself, not as a demo but as production migration machinery.

What we did

  • Stood up a dedicated AI-enabled migration team with an intentionally elastic model: start with a small senior core, scale with the migration backlog
  • Built an AI migration wrapper for the legacy-contracts-to-CLM migration path, delivered as a fixed-scope engagement: AI-assisted conversion tooling wrapped in repeatable process
  • Applied AI-assisted code conversion to the Apex-to-C#/.NET workstream for a global health technology customer, using LLM tooling to translate, refactor and validate business logic at file scale
  • Automated the legacy field-mapping process for a major law firm's contract migration, replacing per-client manual mapping with tool-generated mappings reviewed by engineers
  • Codified the approach into a reusable migration playbook (built on Claude Skills), so the vendor's own engineering organization can run migrations independently over time
  • Prototyped a customer-facing AI support experience on top of the vendor's internal AI platform, including the guardrails that keep internal content out of customer-facing responses

Results

  • Migration capacity that scales with tooling rather than headcount
  • A fixed-price AI migration offering the vendor can resell into its own customer base
  • A documented, transferable playbook: the engagement is designed to make the client self-sufficient, not dependent
  • Follow-on AI and data-platform workstreams won on the strength of delivery

Tech

Apex, C#/.NET, LWC, React, Next.js, PostgreSQL, Claude and Claude Skills, MCP

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