The assessment covers eight areas
Cloud connectivity
Resilient connections to cloud and SaaS services, identity-based access and the ability to locate the cause of a slowdown.
Multi-cloud security
A current view of cloud accounts and workloads, consistent policy across environments and control of data leaving the cloud.
Network operations
One view of campus, branch, data centre and cloud networks, early detection of issues and standard processes.
Application delivery
How modern and AI-enabled applications are run, secured and monitored, and how safely they change.
Observability
End-to-end visibility from the application to the network, including ISPs, DNS and cloud APIs.
AI infrastructure
Whether compute, storage and the data centre network are ready for AI workloads, with defined security boundaries.
AI security and governance
How AI applications, models and agents are inventoried, tested, protected at runtime and owned.
Automation and FinOps
Standard templates, cloud cost management and a defined operating model.
Built by IPTel engineers
The questions reflect what IPTel engineers check when they review cloud connectivity, multi-cloud security, observability and readiness for AI workloads.
The report ranks the gaps by risk and lists practical next steps, so planning and budget go where they make the most difference. IPTel is a Cisco Preferred Partner in Networking, Security, and Cloud and AI, and delivers Cisco Powered Observability managed services.
