Salesforce migration case study: 500 users, 45 days, code they own
Leaving an entrenched CRM is the migration everyone postpones. Here's how a 500-user enterprise moved off Salesforce onto code they own — in 45 days.
A 500-user enterprise migrated off Salesforce onto production-grade code they own in 45 days — feature by feature, vibe-coded to match existing behavior, then certified through Dual7's seven agents with isolation, access control and audit trails on by default. Here is the approach and the outcome.
Why they decided to leave
The pattern will be familiar to anyone who has run a CRM at scale: costs that rose every renewal with no leverage to push back, a roadmap they didn't influence, and a system that increasingly fit the vendor's business better than their own. Customization meant more proprietary configuration — which meant deeper lock-in, not more ownership.
What they wanted on the other side wasn't simply a cheaper CRM. It was software they controlled: their data model, their workflows, in a standard codebase they could read, extend, and host themselves.
How the 45 days were structured
Rather than a single high-risk cutover, the rebuild went feature by feature — the unit Dual7 is designed around. Each core object and workflow was vibe-coded fast to match the existing behavior, then certified through the seven agents before it went live. The phases, in order:
| Phase | What happened | Gate before moving on |
|---|---|---|
| 1 · Model the objects | Accounts, contacts, opportunities and activities modeled in multi-tenant Postgres with row-level security from the first migration. | Schema reviewed and approved — no silent structure changes after this point. |
| 2 · Mirror the permissions | Role-based access rebuilt to match the org's existing permission structure, enforced at the data layer rather than in the UI. | Access matrix verified against the old system, role by role. |
| 3 · Rebuild the workflows | Approvals and automations recreated as certified features, each with its own audit trail and acceptance criteria. | Per-feature certification: security audit plus human sign-off. |
| 4 · Reconnect and cut over | Integrations re-established with typed clients and managed secrets; users moved onto the new system as features went live — not in one big-bang weekend. | Final publish gates; every feature traceable to the requirement behind it. |
Why governance mattered here
For a system of record holding customer data, the controls weren't optional. Because tenant isolation, RBAC, audit logging, and human sign-off are defaults of Governed Mode rather than features to bolt on, the security and compliance requirements were satisfied as a by-product of how the app was built — not as a separate workstream. The specifics of those defaults are in multi-tenant, RBAC and audit by default.
Where they landed
- 45 days from start to full production cutover — not the year-long replatforming these projects are budgeted as.
- 500+ users live on the new system today.
- 100% of the code owned and exportable: React front end, Node services, Postgres schema and migrations.
- No runtime they rent, no backend they can't touch — and no vendor who can dictate next year's price.
Build fast with AI. Own forever with architecture you control.
The lesson isn't that migrations are easy — it's that the thing making them hard, lock-in, is also the strongest reason to do them. Rebuilding on owned code turns a recurring liability into an asset you control.
Frequently asked questions
How long does a Salesforce migration take?
Traditional replatforming projects are typically scoped in quarters — 6 to 18 months is common for a 500-seat org once data, workflows and integrations are counted. This migration took 45 days because it went feature by feature through an AI-native pipeline, with each feature certified and cut over independently instead of one big-bang launch.
Do you lose your Salesforce data when you migrate?
No — your data is exportable from Salesforce, and in this migration the core objects (accounts, contacts, opportunities, activities) were remodeled in a multi-tenant Postgres schema the customer owns. The harder part is usually the workflows and permissions, which is why each was rebuilt and verified as its own certified feature.
What does it cost to replace Salesforce with custom software?
Historically, more than staying — which is why lock-in worked. AI-native development changes that arithmetic: this rebuild took 45 days of effort rather than a multi-quarter project, and the result carries no per-seat license at all. The trade is a one-time build cost for a recurring bill that goes away.
Is custom-built CRM software risky compared to Salesforce?
The classic risk was maintainability — custom code with no process behind it. That's a process problem, not a custom-software problem: here every feature shipped with an audit trail, data-layer access control and human sign-off, in standard React, Node and Postgres any engineering team can maintain.
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