Enterprises have gone all in on AI. They've bought the latest AI clients and tools, incentivized their workforce to experiment at will, and built agents that handle real work. As AI spend continues growing faster than any other line item, Finance teams are beginning to ask, what’s the actual return on investment, and where’s the proof?
Businesses have looked at token volume, tracked lagging indicators, and simply asked employees to estimate how much time AI saves them as a way to measure ROI. Each of these approaches provides directional insight, but falls short of generating confidence that AI spend is driving true business impact.
Runlayer AI Spend & ROI gives enterprise leaders the metrics they need to prove tangible business impact. With full company visibility on AI usage and spend, outputs tied to every AI session, and flexible cost controls that keep spend aligned to value, Runlayer keeps your business on the golden path to AI transformation.
See AI spend across the entire organization
Enterprises have invested in dozens of model providers, AI clients, and agent builders. Manually pulling spend and usage data from each tool directly is a waste of time, and most AI spend trackers were built to focus only on one department or use case, leaving data in a silo.
Runlayer tracks AI usage and spend for every employee, in one place:
- Complete AI session visibility across clients, agents, and MCP tool calls
- Filter usage and spend by user, use case, tool, model, and agent
- Roll up spend to the teams and departments you already manage in your IdP
Runlayer works from endpoint-level visibility and full session logs, not just API metadata. With this approach, you can centralize AI usage and spend metrics across the entire workforce in one place.
With Runlayer, every dollar of AI spend is centrally tracked and correctly attributed.
Tie every AI session to the work it produced
The era of tokenmaxxing is quickly fading. Finance teams are rightly questioning the massive token bills coming from mature AI users. Business leaders need a way to prove that their AI spend is generating real impact.
Runlayer tracks every AI session from start to finish, and records what it produces as an output. We track outputs like merged PRs, closed tickets, new documents, published artifacts or skills, and more. Related outputs are grouped into one unit of work for accurate reporting, for example, a code repository branch, its commits, and the resulting pull request count as one output.
With output and cost side by side, business leaders can easily answer the questions they get from the board:
- Which teams are getting real value from AI, and which need more enablement?
- Which agents produce the most work per dollar, and which should be retired?
- How much output comes from autonomous agents, and how much from people working with AI?
With Runlayer, AI ROI is tangible and defensible.
Control costs without slowing adoption
A single budget for the entire organization doesn't work for AI. Some teams should be spending more because the work they produce is worth it. Others should be using cheaper models for simpler tasks.
Runlayer gives you control at whatever level you need:
- Set spend limits per model through Runlayer’s LLM gateway, currently available in early access, for specific teams and users
- Define daily, weekly, monthly, or lifetime budgets by team, user, or agent
- Assign per-agent budgets and run limits, with built-in notifications so nothing comes as a surprise
When a budget runs out, Runlayer’s LLM gateway can automatically route requests to a cheaper model so the work keeps going, or stop them until an admin raises the budget. Team-based model rules ensure you can unlock frontier models for the teams that need them, and restrict low-complexity users and tasks to low-cost models.
With Runlayer, AI spend stays predictable while adoption keeps growing.
Make the safe path the golden path
Enterprise leaders shouldn't have to scrape together shallow ROI metrics from disparate tools to justify every dollar of AI spend. Runlayer AI Spend & ROI brings organization-wide spend tracking, output-based ROI, and flexible spend controls into one platform, so you can scale AI with confidence and prove what it's worth. See why leading enterprises like AngelList, Gusto, and Opendoor trust Runlayer to support their AI strategy across the workforce → book a custom demo.
