Insyto Consulting Services
Insyto evaluates workload suitability, target architecture, governance, security and operating requirements before an Azure investment or migration. The result is a decision framework and roadmap, not a migration or managed-operations package.
Evidence and priorities guide the next decision; deployment is a separate scope.
Technology leaders planning an Azure move, expanding an inconsistent estate or deciding which workloads should be modernized, migrated, retained or retired.
We combine workload and stakeholder evidence to define practical architecture principles, migration priorities and operating decisions. Detailed engineering and migration execution follow under separate scopes.
Business portfolio and current estate
Connect cloud decisions to business constraints and expected outcomes.
Applications, data and infrastructure
Assess which disposition is appropriate for each in-scope workload.
Azure architecture and landing-zone principles
Define direction for subscriptions, connectivity, access and policy.
Azure cost assumptions and operations
Make financial assumptions visible alongside support and governance needs.
The strategy draws on agreed application inventory, dependency and utilization evidence, existing Azure configuration where present, security requirements, cost assumptions and interviews with platform and workload owners. Unknown dependencies remain explicit planning risks.
Strategy findings are based on the workloads and evidence reviewed. Detailed application remediation, final migration design, performance testing and production changes require separate delivery work.
The final materials separate observed findings, assumptions and decisions so leadership and delivery teams can act on the same record.
Each workload recommendation states why to migrate, modernize, retain or retire it, what platform prerequisites it depends on and which owner must approve the next step. Cost ranges and landing-zone direction remain planning inputs until detailed design validates them.
01
Agree drivers, constraints, stakeholders, workloads and the financial and operational questions the strategy must answer.
02
Review workload evidence, target-platform needs, risk, cost assumptions and organizational readiness.
03
Present architecture principles, workload recommendations and a roadmap with dependencies and decision gates.
Configuration changes, deployments, migrations and recurring administration are not included automatically. Those activities begin only under an approved implementation or managed-service scope.
Consulting identifies decisions and priorities. The next engagement depends on the findings; it is not predetermined by the assessment.
Professional Services
Build the approved platform foundation and migrate agreed workloads in controlled waves.
Managed Services
Operate the established platform with agreed monitoring, governance and cost-review responsibilities.
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Examine wider identity, endpoint and detection dependencies where cloud strategy exposes cross-environment risk.
Azure may support a governed data foundation, but data architecture and AI readiness are separate decisions requiring their own discovery and solution scope.
Explore AI-Ready Data FoundationCase study
See existing experience with Azure rightsizing, governance and operations; it is not a promise of identical outcomes.
Related engagement
Explore the separate comparative cost exercise that can support, but does not replace, a broader cloud strategy.
Azure architecture and governance are the platform context for the strategy; implementation is scoped separately. Explore Microsoft technology
Tell us which workloads and business events are driving Azure planning. We can define the evidence, stakeholders and strategy outputs needed before delivery begins.
Discuss your Azure strategy