SaaS migration

Break dependency on legacy SaaS without losing the operating model inside it.

When a SaaS platform becomes the bottleneck, the objective is not simply to export records. The objective is to extract workflows, permissions, approvals, and business context so the company can keep operating as the architecture changes.

What this path delivers

2-8 weeks

Typical timeline

Medium-High

Complexity profile

Owned output

Code and migration assets

Zero lock-in

Required after delivery

The operating constraint

Legacy SaaS becomes a drag when the workflow matters more than the license.

The problem is usually broader than cost. Once the application controls the workflow, data model, and approval logic, it starts constraining how the business can evolve.

01

Data lock-in

Critical records live in proprietary schemas, export paths are weak, and the business cannot move without painful extraction work.

02

Expensive seats

Per-user pricing and add-on fees scale poorly once the system becomes core infrastructure for multiple teams.

03

Rigid workflows

The business can only operate within the workflow abstractions the vendor chose to expose.

04

No AI surface

Legacy SaaS platforms were not designed for agent execution, governed automation, or retrieval-ready operating context.

Migration sequence

Extract the operating model before you replace the platform.

The disciplined path is to inventory the system, extract the logic, convert it into reusable primitives, migrate with governance, and validate continuity before the cutover closes.

01

Discovery

Inventory applications, data dependencies, user roles, approval paths, and integration points.

02

Extraction

Pull data, workflow logic, permissions, and business rules out of the source platform.

03

Transformation

Convert the extracted system into agent-ready interfaces, connectors, and workflow hooks.

04

Migration

Deploy to AI-native or owned alternatives with controlled cutover planning.

05

Validation

Verify data integrity, workflow fidelity, and operational continuity before handoff.

Owned deliverables

You leave with migration assets the business can actually keep using.

The output is designed to remain useful after the vendor dependency is removed. It is structured for ongoing operation, extension, and auditability.

Integration servers exposing core functions through MCP or OpenAPI
Data connectors for retrieval, reporting, and knowledge systems
Workflow hooks for automation and orchestration
User permission mappings and approval logic
Adapters for the systems that remain in the stack

Owned migration package

The engagement produces a governed migration asset set rather than a slide deck. Teams get a reusable foundation for future modernization work, not just a one-time extraction.

Timeline

2-8 weeks

Complexity

Medium-High

Best fit

System-of-record replacement

Common sources

Typical SaaS platforms we see in this motion.

The pattern is relevant anywhere the business process is trapped inside a closed vendor surface.

SalesforceOracleSAPHubSpotZendeskServiceNowWorkdayNetSuiteDynamics 365Legacy ERP systems
Assess The Stack First

Map the SaaS dependency before you decide how aggressively to replace it.

A short readiness assessment helps quantify extraction complexity, operating risk, and the value of moving to a more open architecture before the migration plan is locked.

Workflow extractionPermission mappingOwned output