AWS Cost Optimization & FinOps Partners

Deloitte Cloud is best for regulated enterprises that need board-level cloud strategy, governance, and business-case work backed by 8,000+ cloud professionals across AWS, Azure, and GCP.

Poor fit: Deloitte Cloud is the wrong fit for a buyer that already has its strategy and primarily needs hands-on cloud-native engineering, because its profile flags a strategy-heavy model, variable implementation depth, and a $300K–$2M+ pricing band.

DoiT International is best for technology, media, gaming, and SaaS companies that need FinOps, cloud-cost optimization, migration, or managed cloud operations with data and machine-learning support, from a GCP- and AWS-focused MSP with more than 400 cloud engineers.

Poor fit: DoiT International is the wrong fit for Azure-led programs or traditional enterprises that do not want an MSP relationship: its platform coverage is limited to GCP and AWS, its culture is oriented toward technology and startups, and its listed engagement band starts at $150K plus managed services.

IBM Consulting is best for a large enterprise modernizing a hybrid or multi-cloud estate where Red Hat OpenShift portability, SAP depth, and integration across AWS, Azure, GCP, and private infrastructure matter; its profile lists 19,000+ SAP-trained consultants.

Poor fit: IBM Consulting is the wrong fit for an SMB, a sub-$1M project, or a pure single-hyperscaler build that needs fast mobilization and focused platform depth, because its model carries enterprise contracting overhead, opaque premium pricing, and large-team quality variation.

Infosys is best for a global enterprise coordinating a multi-country transformation across AWS, Azure, and GCP, especially when SAP, Salesforce, Oracle, or regulated-industry integration must run through one systems integrator with delivery coverage in 59 countries.

Poor fit: Infosys is the wrong fit for an SMB, a cloud-native company, or a narrow single-platform build that needs specialist depth and a stable small team, because its 320,000+ employee generalist model relies heavily on offshore delivery and opaque enterprise contracts.

SoftwareONE is best for organizations that need Azure migration, license optimization, FinOps, or managed infrastructure across complex Microsoft estates, backed by more than 3,000 Azure specialists.

Poor fit: SoftwareONE is the wrong fit for buyers prioritizing application modernization or cutting-edge cloud-native product engineering: its strengths are licensing, cost management, and infrastructure, while its listed engagement band is $180K–$650K and delivery quality can vary by region.

Xebia is best for mid-market and enterprise buyers that need one engineering partner to modernize applications, data, AI, and cloud platforms across AWS, Azure, or Google Cloud, especially when platform engineering, FinOps, managed operations, and team upskilling must be combined in the same program.

Poor fit: Xebia is the wrong fit for a buyer seeking a small commodity cloud task with public fixed pricing, or one unwilling to validate the proposed regional delivery team, because Xebia sells custom, globally staffed programs and does not publish a firmwide rate card or minimum engagement.