Microsoft’s co-management model makes one point clear. Moving from Configuration Manager to Intune does not have to be a single cutover. Configuration Manager can keep control of workloads that have not moved. Intune can take control of workloads that are ready. This creates a readiness test because device enrollment alone does not prove that policy ownership, device identity, or new controls are ready.
Different teams need different actions. One team may still be fixing inventory and device identity. Another may be ready to pilot compliance or updates. A third may run Intune at scale but lack useful measures. The model below treats readiness as evidence of control. Device migration percentage is only one input.
Foundation stage: SCCM still carries most operational control
Teams in this stage know Configuration Manager well, but their endpoint record may still be incomplete. Most devices are managed in SCCM, and the team knows who owns key systems. It can also identify key apps and policies. The risk grows when old collections, duplicate records, local setup steps, or weak device identity hide the true estate. A migration plan is weak when the starting inventory cannot be trusted.
Microsoft lists 7 co-management workload areas. These include compliance policies, Windows Update policies, endpoint protection, device configuration, Office apps, and client apps. Its co-management workload guidance also lets teams move workloads separately. The next useful move is a workload map. It should show current control, dependencies, pilot groups, failure impact, and the proof needed before control changes.
Calance places SCCM to Intune Migration inside a controlled co-management path. SCCM does not have to disappear at once. The page describes Configuration Manager as the on-premises base, co-management as the transition state, and Intune as the cloud target. This model fits teams that need to keep working controls while they prove the next one.
Transition stage: co-management has clear workload boundaries
A team enters this stage when device identity is dependable and each workload has an owner. Pilot groups are defined, and Intune enrollment works. The team also knows which policies still come from Configuration Manager. The main risk is mixed control without clear rules. Settings can conflict even when both tools work as designed.
Identity becomes a control issue here. NIST Zero Trust Architecture says trust should not come from network location or asset ownership alone. User and device checks should happen before access to enterprise resources is granted. Endpoint teams should make sure device identity, compliance state, and access policy agree before more workloads move.
This is where Microsoft Intune Endpoint Management becomes more than enrollment. Calance describes work around policy, compliance rules, device controls, patch governance, app deployment, and monitoring. The next move is to pilot one workload with known dependencies. Then compare policy success and user impact with the SCCM baseline.
Control stage: Intune owns tested workloads and exceptions are governed
This stage begins when selected workloads have moved to Intune and the team can explain why the move was accepted. Policy assignment is stable, and exceptions are recorded. Failed devices also have a clear repair path. A common mistake is treating successful deployment as proof of mature control. A policy can deploy while unsupported exceptions keep growing.
CISA’s Cross-Sector Cybersecurity Performance Goals frame security work around measurable outcomes and repeatable assessment. CISA describes the goals as a benchmark for measuring and improving maturity. Endpoint teams can use the same idea. They can set an accepted state for patching, compliance, encryption, and device health. The team can then judge progress against that state.
At this point, Unified Endpoint Management Services can support mixed estates. These may include Windows, macOS, mobile devices, and thin clients. Calance’s page covers provisioning, baseline control, patching, app deployment, endpoint protection, compliance monitoring, and device health. The next move is to define exception limits and service ownership. That keeps control clear after migration work slows down.
Operating stage: endpoint decisions are driven by measured evidence
A mature endpoint model uses measures to decide what changes next. Teams can see device state and compare it with a baseline. They can find regressions and assign action to an owner. They should also know where reports are incomplete. That gap must be part of each decision.
Microsoft’s Endpoint Analytics settings guidance shows why context matters. The service uses a default 10% regression threshold and allows up to 20 baselines per tenant. Data may need up to 24 hours after a restart before it appears. Microsoft also requires at least 5 reporting devices before some scores are treated as meaningful. A clean dashboard can mislead when the sample is too small or new data has not arrived.
Mature teams use those limits when they judge a pilot. They also connect endpoint policy with wider security work when device findings point to weak controls. Calance’s cybersecurity services cover endpoint protection, monitoring, security assessment, and risk review. The next move is a review cycle. Policy, ownership, or the migration order should change when evidence moves away from the target.
Readiness should be judged by evidence, not a stage label
A maturity model is useful only when teams can test themselves with real proof. For each workload, ask whether ownership is clear and device identity is trusted. Check whether policy results can be measured. Check whether exceptions are controlled and rollback rules exist. A workload that fails several tests belongs earlier in the model even if most devices are already enrolled.
Use the lowest stage supported by evidence as the starting point. Then choose the next capability gap instead of chasing a stage name. This keeps the review tied to real operating conditions. It also makes progress easier to prove.
Frequently asked questions
How do I know whether we are ready for SCCM to Intune migration?
Start with workload ownership and device identity. You should know which system controls each policy. You should also know which devices belong in the pilot. A way to measure the result must exist before control changes. If these points are unclear, the migration is still in the foundation stage.
Does co-management mean SCCM and Intune manage everything at the same time?
Co-management lets both platforms exist while workload control is assigned between them. Configuration Manager keeps workloads that have not moved. This makes staged testing possible. Clear ownership rules are still required.
Which workload should move first?
There is no universal first workload for every team. Choose one with known dependencies and a safe pilot group. It also needs a clear success measure. Microsoft notes that compliance is a common early workload. Local controls and risks should still guide the choice.
What shows that Intune management is mature?
Maturity shows up in control evidence. Teams can see device state and detect policy failures. They can govern exceptions and compare current results with a baseline. They can also change a policy or migration step when the evidence shows a weak result.
How should we score our current stage?
Use a simple evidence review for each workload instead of one company-wide score. Check ownership and identity first. Then review policy success, exception control, measurement, and rollback rules. Place the workload at the lowest stage its evidence supports. Recheck it after each meaningful change because readiness can move in either direction.
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