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The First AI Efficiency Platform You Can Extend With a Prompt

Melissa FrojmovicsJuly 22, 20265 min read

Ninety-eight percent of FinOps teams now manage AI costs, up from just 31% two years ago, according to the FinOps Foundation's 2026 State of FinOps report. AI cost management is now the single most in-demand skill those teams say they need to add, while Gartner expects global AI spending to reach $2.5 trillion in 2026, up 44% in a single year.

AI cost management, 2026 98% of FinOps teams now manage AI costs, up from 31% two years ago AI spend growth, 2026 44% year-over-year growth in global AI spend, reaching $2.5 trillion in 2026 Source: FinOps Foundation, 2026 State of FinOps report · Gartner, 2026 AI spending forecast

AI has introduced new infrastructure, new services, and new sources of spend. The reports and workflows organizations relied on two years ago are no longer enough.

Every organization eventually runs into the same problem. The cloud optimization platform they're using covers the common use cases, but the business keeps changing: finance wants costs rolled up one way, engineering organizes ownership another, leadership asks for a report that doesn't exist, and a new initiative introduces a workflow it was never designed to support.

From that point on, teams usually have two options. They export the data and build something themselves, or they ask the vendor for the feature and wait, and neither one scales: internal tools become another system to maintain, and product roadmaps move according to every customer's priorities, not yours.

Every cost management platform eventually reaches the same limitation: the feature you need doesn't exist. PointFive is the first Cloud and AI Efficiency platform where you can describe what you need, and it becomes part of your environment.

Describe it PointFive builds it “build a scorecard for every platform team” platform team scorecard 4 teams tracked · updated live

Why the answers hold up

Most tools make you learn where a number lives before you can use it. PointFive lets you ask for it directly: "show me AI spend by business unit over the last 90 days" or "which teams haven't actioned their savings opportunities," answered in plain language, the way you'd ask a colleague, instead of writing a query or clicking through a dozen dashboards to find the right view.

The answer is only as reliable as the data behind it. An LLM can answer questions about a billing export. It doesn't know what has already been mapped, attributed, or identified as waste across your environment. PointFive answers questions using infrastructure it has already discovered, mapped, and analyzed, the same detection work behind 500+ validated waste patterns, not a billing export it's reading from scratch every time you ask.

That matters more than it used to. The FinOps Foundation's 2026 report found that most teams have already captured the obvious waste, what's left takes real effort to find, validate, and act on, and a general AI assistant reading a billing export can't do that work. It hasn't already mapped your environment the way PointFive has.

Built on a trusted foundation

The value of any dashboard, workspace, or tool depends on the quality of the data behind it, and cloud billing data is only part of the picture. It doesn't show how resources relate to each other, who owns them, how shared costs should be allocated, or whether spend has already been explained by a cloud efficiency opportunity elsewhere in the environment.

PointFive discovers your infrastructure, reconciles billing data, maps ownership, and continuously analyzes the environment for AI efficiency and cost optimization opportunities. Everything built on that foundation, dashboards, automations, internal tools, works from that same understanding of your environment instead of disconnected exports and manually maintained logic.

Every organization operates differently

One organization allocates infrastructure costs by business unit, another reports by product line, some teams want executive summaries every Monday morning, and others need approval flows, engineering scorecards, or a custom internal app that combines cloud infrastructure, data platforms, and AI services into a single view. These aren't edge cases, they're what happens when every company runs itself a little differently, and until now, that meant another internal project.

Once a team puts its budget behind one system, that system has to cover reporting, chargebacks, anomaly alerts, and budgeting too, not just the use case it was bought for.

PointFive creates it using the same infrastructure model, billing logic, ownership data, and optimization context that already power everything else. There's no export to maintain and no separate backend to build.

More than the features that ship

Most cloud optimization platforms stop at the features they ship: if the dashboard isn't shipped yet, you wait, and if the automation doesn't exist, you build it somewhere else. PointFive works differently because it already understands your environment. A new executive scorecard, a custom allocation model, a Slack experience, an approval flow, or an internal tool becomes an extension of the same system instead of a separate engineering project, and the software keeps adapting as your business changes instead of waiting for the next release cycle.

Beyond build or buy

Don't choose between build and buy Build it yourself Buy off the shelf PointFive Integrations and data pipeline 40+ integrations, you maintain Fixed set, vendor's schedule Already built, always current Detection depth Starts from a threshold Generic recommendations 500+ proprietary detections Numbers you can defend You validate it yourself Take the vendor's word Deterministic, CFO-ready Closing the loop You build the workflow Detection only Automated, booked to the ledger

Cloud cost management has traditionally come down to two choices. Building internally gives you complete flexibility, but it means maintaining data pipelines, infrastructure mapping, pricing logic, and everything else required to keep the system accurate. Buying software removes that operational burden, but you're limited to the views the vendor decided to ship.

PointFive combines both: we maintain the infrastructure discovery, billing normalization, optimization research, and the data model that connects everything together, so your team gets exactly the views, automations, and internal tools it needs without taking on the work of maintaining the foundation underneath them.

Ready for enterprise teams

PointFive deploys agentless with read-only access in under ten minutes and has no production impact. It's also SOC 2 Type II certified. As more teams rely on it for cloud and AI cost optimization, governance becomes just as important as flexibility: organizations need to control who can access data, who can create new dashboards or internal tools, and who can publish them across the business. We're introducing role-based permissions and more granular access controls alongside these capabilities, so teams can extend PointFive and gain the engineering efficiency that comes with it, without losing the governance they expect.

Every organization eventually needs something its software wasn't designed to do. Until now, that meant another internal project or another feature request. PointFive removes that trade-off. Describe what you need, and it creates it using the same trusted understanding of your cloud and AI environment that already powers everything else.

Prompt for the dashboard, automation, or tool you need, and see it built on your own data. Request a walkthrough.

About PointFive

PointFive is the AI Efficiency OS. By combining a real-time cloud and infrastructure data fabric with AI-driven detection and guided remediation, PointFive transforms efficiency from a reporting exercise into an operational discipline. Customers achieve sustained improvements in cost, performance, reliability, and engineering accountability, at scale.

To learn more, book a demo.