Migration, platforms, and AI. One playbook.

Cross-cloud migration with Azure Migrate, application discovery, and parallel-run cutover. Cost models, networking, and IAM remapped before workloads move — no surprises on the bill.

Mailbox migration with hybrid coexistence, public folder modernization, DNS cutover, and mobile re-provisioning that doesn't generate a Monday-morning ticket queue.

Assessment with DMA, schema and data migration to Azure SQL Database, Managed Instance, or SQL VMs — with rollback plan and validated cutover.

Post-merger consolidation of two M365 tenants: identities, mailboxes, OneDrive, Teams, SharePoint, and licenses — co-existence first, hard cutover when the business is ready.

Co-management between Configuration Manager and Intune, conditional access enrollment, and a path off legacy AD-joined workstations toward Entra-joined.

Containerization of Windows and Linux workloads, AKS deployment with autoscaling, observability via Azure Monitor, and a CI/CD pipeline that survives the next team.

Citrix or VMware Horizon replaced by AVD multi-session — FSLogix profiles, image management, application layering, and the cost model that finally makes sense.

ADFS retirement, password hash sync or pass-through auth, conditional access, and a clean identity foundation for everything that follows.

Power Apps, Power Automate, Power BI, and Power Pages — citizen-developer enablement with ALM, environment strategy, and the CoE Starter Kit that keeps production from turning into sprawl.

Custom Teams apps, SPFx web parts, Outlook add-ins, and Graph API integrations — built where your users already work, with versioning, source control, and CI/CD wired in from day one.

Microsoft 365 Copilot rollout, Copilot Studio agents, and Azure OpenAI assistants grounded in your data — RAG patterns, prompt libraries, eval harnesses, and adoption that survives the novelty curve.

Intranet design, hub-site architecture, content type strategy, governance baseline, and the search experience your users will actually use — not just the one IT shipped.

Dataverse as the system of record, virtual tables to legacy systems, Synapse Link for analytics, and the connector strategy that keeps Power Platform apps fast under real load.

Power Apps canvas and model-driven apps for line-of-business workflows — built fast, with ALM, source control, and DLP policies that let them ship into production without a separate hardening project.

Power Automate cloud flows, desktop flows for legacy UI automation, and Logic Apps for enterprise patterns — with idempotency, dead-letter handling, and monitoring you can trust.

Document understanding with AI Builder, RPA for screen-driven legacy apps, and Power Automate as the orchestration layer — measured by hours-saved-per-week, not bots-deployed.

Landing zones, hub-and-spoke networking, identity baseline, naming and tagging standards, and the platform-team operating model that scales past the first three workloads.

Process mapping with Process Advisor, bottleneck analysis, automation candidate scoring, and the change-management work that turns 'we have a tool' into 'we have a new behavior'.

Custom prediction models, form processing, object detection, sentiment analysis, and Azure Cognitive Services embedded into Power Apps and Logic Apps — production-ready, not just demo-ready.

Solution blueprints, integration patterns, security and compliance review, total cost of ownership, and the architecture decision records that survive after the consultant leaves the building.