Google Cloud adds quick AI migration cost assessments

Google Cloud has launched AI-powered Quick Assessments in Migration Centre, aimed at infrastructure modernisation and cloud migration planning.

The update adds automated service mapping and near-instant total cost of ownership modelling to Migration Centre, which helps organisations assess workloads and migration options. The new features are intended to reduce the manual analysis that often accompanies infrastructure reviews, including spreadsheet-based discovery work and cost reconciliation across teams.

Companies facing data centre exits, cloud cost reviews or broader IT modernisation projects often spend weeks gathering inventory data before they can estimate migration costs. That process can take even longer when teams must map in-house systems to cloud services and test financial assumptions for different deployment options.

With the new assessment tool, users can upload raw infrastructure data or cloud billing reports and receive a target bill of materials, service mapping and projected savings. The product also generates financial models designed to show total cost of ownership and return on investment for migration projects.

Assessment workflow

For on-premises environments, Quick Assessments can ingest VMware inventory exports, including data from RVTools, as well as aggregated infrastructure inputs. It then generates cost estimates for Compute Engine deployments.

The modelling also supports newer Gen4 compute instances and Hyperdisk storage pools. Users can adjust baseline cost assumptions to reflect internal accounting methods, affecting comparisons between existing infrastructure costs and projected cloud spending.

Google Cloud has also added a context-aware chat assistant within Migration Centre. The assistant can explain the financial assumptions behind an assessment, suggest cost adjustments and account for factors such as regional requirements or compliance constraints.

Another addition is automated report generation. Migration Centre can export business case documents and Google Sheets files containing the recommended bill of materials, total cost comparisons and return on investment analysis for review by managers and finance teams.

Cost pressure

The release comes as technology leaders face pressure to modernise infrastructure while keeping tighter control over operational spending across multiple clouds. At the same time, many organisations are preparing data and systems for generative AI projects, increasing scrutiny of the cost and timing of migration work.

Cloud migration assessments have long been a source of friction for large organisations because early planning often requires input from infrastructure, finance, procurement and application teams. Errors in inventory data or assumptions about usage patterns can distort cost models and delay approval for broader transformation programmes.

Google Cloud is positioning the new features as a way to shorten this initial assessment stage. It says manual discovery can delay migration work by months and increase engineering effort, while automated analysis can generate financial models in minutes.

Broader product

The Quick Assessments release sits alongside expanded cloud billing assessment functions in Migration Centre. Together, the changes suggest a broader effort by Google Cloud to make Migration Centre not just an inventory and discovery tool, but also a financial planning product for cloud migrations.

The focus on business case generation reflects a wider trend among large cloud providers, which are under pressure to show clearer cost outcomes as customers become more selective about where workloads run. Rather than relying only on technical migration recommendations, vendors are increasingly packaging financial modelling and reporting into the same workflow.

Google Cloud says decision-makers can use the assistant to review the assumptions behind assessments and export reports for wider circulation. Organisations can generate "comprehensive migration financial models in minutes rather than months," according to the company.