Google Cloud announced AI-powered Quick Assessments in Migration Center, a set of features that automate infrastructure discovery and total cost of ownership (TCO) modeling for cloud migration. The post positions this against legacy assessment processes, which rely on manual spreadsheet analysis, siloed cost estimates, and can delay migration timelines by months.

The new capabilities include AI-assisted Quick Assessment for on-premises workloads, which ingests raw infrastructure data or cloud billing reports and quickly produces an optimized target bill of materials (BOM), service mapping coverage, and projected savings. Teams get instant Compute Engine TCO estimates from VMware inventory exports such as RVTools or aggregated inputs. The tool supports Gen4 compute instances and Hyperdisk storage pools, and lets users adjust on-premises baseline cost assumptions to match internal accounting standards.

A context-aware agentic chat recommends cost optimizations aligned with business constraints such as regional location or compliance needs, and explains the underlying logic and financial assumptions. The tool also generates automated Business Case reports and Google Sheets exports capturing the recommended BOM, TCO comparison, and ROI analysis.

The intended users are enterprise customers and partners, particularly IT decision makers building defensible business cases. The post notes these features are part of the AI-powered Migration Center, alongside enhanced Cloud Billing assessment capabilities. No limitations or caveats are discussed beyond stating that the assessment is ‘AI-assisted’ and aimed at replacing manual discovery.