What we deliver
Cloud migration goes wrong when it’s treated as a tooling exercise instead of a planning exercise. The right migration tool matters less than knowing what you’re moving, what depends on it, and what each piece costs to run after the move.
We start by mapping. What’s actually running. What talks to what. What has to move first, what should be retired, what can be replatformed instead of just lifted. Then we sequence the migration in waves with explicit rollback criteria for each one.
Where we typically start
Most engagements begin with a 2 to 4 week migration assessment:
- Inventory and dependency mapping across servers, applications, and data
- Application portfolio review (rehost, replatform, refactor, retire)
- Network and identity readiness for the target cloud
- Cost modeling so the post-migration bill is not a surprise
- Cutover and rollback planning per wave
You get a written migration plan with prioritized phases, fixed-fee scope for the first wave, and a clear answer on what’s worth migrating versus retiring.
Common engagements
On-premises to Azure. VM lift-and-shift where it makes sense, replatforming to PaaS where it pays back. We’ve moved file servers, domain controllers, SQL workloads, and line-of-business apps with no unscheduled downtime.
Email and collaboration to Microsoft 365. Exchange on-prem, Google Workspace, hosted Exchange, IMAP. We handle the painful edge cases: shared mailboxes, public folders, distribution groups, calendar permissions, and MX cutover with zero downtime.
SharePoint and file shares to SharePoint Online. Content assessment, target IA design, migration in waves, validation, and cutover. Sharegate for the move, custom scripting where Sharegate stops short.
SQL Server to Azure. Health check the source, choose the target tier, test compatibility, run the migration, and tune the result. Managed Instance, Azure SQL Database, or SQL on Azure VM depending on the workload.
Microsoft Project Online migration. Project Online retires on September 30, 2026. We help PMOs inventory what is in their tenant, pick destination platforms for each data category, run the export and migration in waves, and validate against the source before cutover. Resource capacity planning is the hardest piece. We have written about planning the migration and the resource model specifically if you want depth before talking to us.