AI spend management

AI tools like Cursor, Claude, and OpenAI use consumption-based pricing that compounds daily and fragments across vendors. Unlike traditional SaaS licenses, there's no fixed cost. Instead usage spikes without warning, and no single team has a complete picture of what's being spent. Managing AI consumption means having the visibility, budget controls, and attribution data needed to make informed decisions before costs get out of hand.

Without visibility into AI spend, overages arrive as surprises rather than early warnings. Teams lose budget to unused or duplicative AI tools. Finance can't forecast accurately. Engineering can't demonstrate ROI. And as AI usage scales, a fragmented approach becomes increasingly expensive to reconcile after the fact.

That's part of the problem: no single team does. IT monitors vendor access and usage. Finance sees the invoices. Engineering makes the purchasing decisions. AI program leaders are accountable for outcomes but rarely have the data to back them up. AI spend tends to fall in the gap between all three, which is exactly why overages go undetected until it's too late. AI Consumption Management gives each of these teams the view they need from one shared platform.

No. It is included in 1Password SaaS Manager at no additional cost. If you already use SaaS Manager, AI spend and consumption management is available to you today.

Most teams are up and running in minutes. Connect your AI vendor accounts through SaaS Manager's existing integration framework — no custom development or engineering resources required.

Each AI vendor gives you data about their own platform in isolation. AI spend and consumption management normalizes usage and cost data across all your AI vendors into one view, updated daily, with budget tracking and team-level attribution that no individual vendor dashboard provides.

Yes. You can set a budget per vendor, configure alert thresholds, and track your daily burn rate. The platform calculates your estimated balance exhaustion date so you have advance warning before procurement gets the call.

Yes. Spend can be broken down by vendor, model, team, and user — so Finance can attribute costs and Engineering leads can assess whether AI investment is delivering value.

AI spend and consumption management currently supports Cursor, Claude (Anthropic), and OpenAI. Additional AI vendors are being added on an ongoing basis. If you use a tool that isn't listed, contact us and we'll let you know what's on the roadmap.

SaaS license management is built around licenses: who has one, whether they're actively using it, and whether you can recover unused seats or negotiate a better rate at renewal. The cost model is predictable because you pay per seat. You know what you owe, and it scales with headcount.

AI tools break that model. Most AI pricing is consumption-based: tokens processed, API calls made, compute minutes used. A single team running a coding assistant or a connected model environment can generate more spend in a month than their annual SaaS budget for the same function, and that spend can swing dramatically from one billing cycle to the next.

AI spend and consumption management fills the gap by giving you visibility into usage at the level that actually drives cost: which models are being used, by whom, at what rate, and against which budget.