Cloud Intelligence™ vs. Cloudability

Yes. IBM Cloudability is an enterprise FinOps platform centered on visibility, allocation, and financial planning — Business Mappings for chargeback, budgets and forecasting, anomaly detection, rightsizing recommendations, and commitment planning. Cloud Intelligence™ covers that ground, then goes further into execution: infrastructure remediation (CloudFlow), autonomous workload optimization (PerfectScale for Kubernetes and Snowflake), commitment automation across AWS and GCP (PerfectScale for Commitments), runtime cost attribution without tagging, and Forward Deployed Engineers included in the platform.

Where the loop closes. Cloudability's optimization workflow ends in a ticket — its policy engine opens Jira or ServiceNow requests from rightsizing recommendations, and your engineers implement them. DoiT closes the loop in the platform: CloudFlow executes infrastructure changes, PerfectScale rightsizes workloads autonomously, and commitments are purchased automatically across AWS and GCP. Pricing follows the same split: Cloudability charges a percentage of the spend it manages; DoiT is flat.

Apptio (Cloudability's parent) was acquired by IBM in 2023 for approximately $4.6B, and IBM has kept investing: Kubecost was acquired in 2024 and now powers the Advanced Containers add-on, and 2025 brought Cloudability Governance for AI and GPU spend visibility. IBM placed as a leader in the 2025 Gartner Magic Quadrant for Cloud Financial Management Tools. The flip side reported by reference customers: renewal pricing hardened after the acquisition, with 15–35% increases reported in 2025, and advanced capabilities increasingly sit behind tier gates and add-on SKUs.

Partially, centered on AWS Reserved Instances. The Savings Automation module (from the Cloudwiry acquisition) automates AWS RI management, including term-flexible reservation strategies. Savings Plans, Azure, and GCP commitments get recommendations and planning tools — execution is manual. PerfectScale for Commitments ladders Savings Plans, Database Savings Plans, and Compute Engine CUDs across AWS and GCP — autonomous or approval-gated, validated continuously against hourly usage — included at flat pricing.

Cloudability prices as a percentage of the cloud spend it manages, on annual contracts: roughly $30,000/year for up to $1M of spend (~3.0%), tapering to ~2.2% at $6M, per its AWS Marketplace tiers. Exceeding your contracted cap triggers per-unit overage fees ($1,650–$4,410 depending on tier), and independent reviews suggest the platform is rarely cost-effective below ~$3M in annual cloud spend. DoiT is flat: platform pricing that doesn't scale with your bill, or bundled with multi-cloud procurement — DoiT resells AWS, GCP, and Azure at no markup, and many teams find consolidation effectively pays for the platform.

Cloudability's container story is Kubecost-powered (IBM acquired Kubecost in 2024): the Advanced Containers add-on provides granular allocation by cluster, namespace, and workload, plus container rightsizing recommendations. It's an add-on with extra cost, and recommendations route into tickets rather than executing. PerfectScale for Kubernetes executes autonomous, workload-aware rightsizing at pod and container level with GPU tracking and stability-first guardrails, in the base platform. Customers typically see 30–50% K8s cost reductions.

At the edges. Cloudability can automatically terminate orphaned resources and park instances on schedules, and its policy engine automatically creates Jira issues or ServiceNow requests from rightsizing recommendations — with a Rightsizing ROI view tracking realized savings. The core optimization loop still ends in a human queue. DoiT CloudFlow is a full execution layer — visual plus code-extensible, 40+ production templates, rollback safety — that turns Composer findings into executed changes.

With DoiT, yes. Runtime cost attribution in Cloud Intelligence™ uses kernel-level telemetry (eBPF) to observe actual traffic and resource consumption, mapping every dollar to the customer, feature, team, or AI agent that drove it — no tagging required. Cloudability's Business Mappings are the classic enterprise alternative: a declarative rules engine over tags, metadata, and CMDB data. They're excellent where metadata is disciplined, but shared clusters, shared GPUs, and multi-tenant endpoints stay opaque because the metadata doesn't carry the answer.

Cloudability Governance (2025) added AI and GPU spend visibility, folding AI costs into its allocation and unit-economics framework — genuinely useful for reporting what AI initiatives cost. DoiT goes past reporting: GenAI Intelligence tracks 9 AI providers and custom models per-customer, per-feature, per-unit; PerfectScale GenAI audits inference pipelines for waste (token reduction, model selection, GPU rightsizing); and runtime attribution ties AI spend on shared infrastructure to the customer or feature that drove it — something tag- and rule-based allocation can't see.

Not as a product capability today — Cloudability's 2025 investments went into AI spend governance (visibility over your AI costs) rather than an agentic assistant over its own data. DoiT ships FinOps AI, an agentic assistant, plus an MCP server so you can query your cost data from Claude, ChatGPT, or any LLM client — wired into execution engines that can run the fix, not just describe it.

Large enterprises whose center of gravity is financial management: mature chargeback across complex org structures via Business Mappings, ServiceNow/CMDB-driven allocation governance, cloud financial planning tied to broader IBM/Apptio TBM practices (ApptioOne), and organizations already invested in IBM Consulting relationships. If your FinOps practice is primarily allocation, budgeting, and finance-ready reporting — and engineering owns implementation through ITSM workflows — Cloudability is a credible, Gartner-recognized incumbent. The fit weakens when you need autonomous execution, multi-cloud commitment automation, data platform or AI optimization, per-customer attribution on shared infrastructure, or pricing decoupled from your cloud bill.