Assess
Inventory, complexity and dependency analysis to size the migration.
A multi-agent data platform migration tool that combines enterprise architecture, automation-first migration and user enablement to move organisations from legacy BI estates to a scalable, modern platform.
Book a ConsultationInventory, complexity and dependency analysis to size the migration.
Target data platform, governance and security design.
Priority use cases converted with automated agent-driven conversion.
New use cases, self-service analytics and ongoing optimisation.
Enablement runs throughout — training, team blending and autonomy.
A coordinator agent, backed by retrieval, a sandboxed coding agent, memory and a knowledge base, directs specialist agents through every stage of the migration.
| Role | Traditional | With Switchblade | How the agents help |
|---|---|---|---|
| Data Engineer | 2–3 FTE | 1.5 | Agent handles pipeline and artefact generation |
| BI Developer (Power BI) | 2 FTE | 1 | Most reports scaffolded by the agent |
| Qlik SME | 1 FTE | 0.5 | Agent replaces much of the manual effort |
| QA / Data Tester | 1 FTE | 0.25–0.5 | Agent automates ~80% of checks |
| Project Manager | 1 FTE | 1 | Needed for business coordination |
| Fabric Architect | 1 FTE | 1 | Retained to verify the architecture |
| Business Analyst | 1–2 FTE | 1 | Requirements and UAT still led by humans |
| Total | 8–10 FTE | 5–6 FTE | ~50%+ resource savings |
Projected estimates; actual outcomes depend on scope and complexity.
Switchblade is deployed into an isolated Azure subscription in the customer's own tenancy, hosted on Azure in the customer's own geographical region for data residency. Data created by the platform stays within the boundaries of the customer's Azure environment.
See how Switchblade can cut the time, effort and risk of moving off Qlik or Tableau.
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