On-prem to cloud
AWS · GCP · Azure · Databricks · Snowflake · dbt
Case study 02 · Retail and Manufacturing
Agentic migrations: faster moves to modern platforms.
AW Rostamani · Mondelez · Inmar · Spin Master
Client names refer to programmes led or delivered by Soamiq's founder, including in prior roles. They are shared for reference only and do not imply endorsement.
The challenge
Migrating a data estate means re-working large volumes of legacy code and pipelines while keeping security, coding standards and cloud cost under control. Done by hand, it is slow, repetitive and hard to keep consistent.
What we built
Agent-driven migration workflows that make migrations faster across three patterns:
Cross-cloud
Moving workloads from one cloud platform to another
Tool-to-tool
Re-platforming from one data tool to another
Capabilities
Added security
Security controls built into the migration workflow.
Standardised coding
Consistent, standards-aligned output across the estate.
Token and cost control
Intelligent token management and cost optimisation for LLM usage.
Context understanding
Agents work from the context of the source system before converting it.
Reusable skills
Skills and capabilities built once and reused across agentic workflows.
Have an open requirement? Let's map it in 15 minutes.
Bring one data, agentic AI or governance requirement, and we will map it to the right engagement model.
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