Weaver Launches Free AI ROI Index, Giving Enterprises a Production-Data Scoreboard for AI

New benchmark draws on 3 million enterprise users and 100,000 deployed agents to compare orgs with more than 1,500 peers, finding major gap between having an AI plan and having the people capable of executing it.

SAN FRANCISCO--(BUSINESS WIRE)--Weaver, the AI-native systems integrator, today launched the AI ROI Index, a free enterprise benchmark that shows organizations whether their artificial intelligence investments are creating measurable value, where that value is being constrained or lost, and how their performance compares with more than 1,500 peers.

The Index is designed to answer two questions now confronting nearly every corporate leadership team: 1) Are we generating a return from AI, and 2) are we falling behind?

Its first benchmark findings reveal a significant divide between enterprise AI ambition and the organizational capacity required to execute it. Companies assessed by Weaver average 64 out of 100 on AI strategy and ROI alignment, but just 44 out of 100 on workforce readiness, a 20-point gap between having an AI plan and having the people, skills and operating systems required to put that plan into practice.

The gap is particularly notable because AI strategy itself is increasingly mature. Eighty-eight percent of organizations have at least an active, owned AI strategy, and 63 percent have one that drives budget decisions or receives board-level review.

Execution remains far more concentrated:

• 60 percent say only technical specialists or a small number of trained power users can build AI-assisted workflows. Just 10 percent report broad citizen development.
• 59 percent report essentially no employee-built AI agents or skills. Only 11 percent have widespread employee building through a shared catalog.
• 36 percent say AI usage is driven by one person or a small group of heavy users.
• 12 percent could not say how many AI solutions they currently have running in production.

Taken together, the findings suggest that the next constraint on enterprise AI may be less about access to powerful models and more about whether organizations can translate AI strategy into distributed, measurable execution.

“We are reaching a point where the AI strategy can be mature before the organization is,” said Peter Grant, CEO and Co-Founder of Weaver. “A company can have an AI budget, executive ownership and board oversight while the practical ability to build with AI still sits with a handful of people. That is a very different problem from access. It is an execution problem.”

The urgency is increasingly visible in the broader market. PwC’s 2026 Global CEO Survey, based on responses from 4,454 CEOs, found that 56 percent had seen neither increased revenue nor reduced costs from AI, while only 12 percent reported achieving both.

The challenge is no longer simply access to AI. It is determining whether growing AI activity is translating into economic performance.

“We’ve normalized spending millions on AI while flying completely blind,” Grant said. “Imagine running finance without accounting or marketing without analytics. Yet some organizations cannot even tell you how many AI systems they have running in production. We built the AI ROI Index because companies need a common way to understand what is working, what is not and where the next dollar should go.”

The AI ROI Index operationalizes what Weaver calls Return on Intelligence, defined as the measurable business value created per dollar invested in AI. Organizations complete an assessment in approximately 10 minutes. The full Index evaluates 30 behavioral indicators, together with an organization’s AI production footprint and spending, across six dimensions:

1. Strategy and ROI alignment
2. Technology and AI tool usage
3. Data and integration
4. Governance and oversight
5. Workforce literacy
6. AI in production

Participants receive a live performance dashboard that includes: 1) a peer percentile against more than 1,500 organizations; 2) a dollarized analysis of where AI value is being created, trapped or exposed and 3) the highest-impact initiatives available to the organization, including estimated payback periods and implementation priorities.

Rather than returning a generic maturity label, the Index is designed to connect organizational capability with financial consequence. Its purpose is to identify which capability gaps are limiting returns and which interventions are most likely to improve them.

Although participating organizations provide information about their own operations, the Index’s scoring model is calibrated against two years of aggregate enterprise production data. That dataset encompasses more than 3 million enterprise users and 100,000 deployed AI agents. The result is a benchmark informed by observed patterns of enterprise AI usage, deployment and performance rather than survey norms alone.

“In our world, you do not act without evidence, and you do not invest without understanding the risk,” said Chuck Lynch, Director of IT Infrastructure and Security at the National Institutes of Health. “Most AI assessments give you neither. The ROI Index does. It benchmarked us against real peers, showed us where value and exposure sat, and did so transparently enough that we could trust the result. That is the standard responsible institutions should expect.”

The AI ROI Index is designed as permanent industry infrastructure, not a limited promotional assessment. Weaver intends to keep the Index free. Each completed assessment contributes to more precise aggregate comparisons, allowing the benchmark to become increasingly representative as participation grows. Weaver said individual company information will remain confidential and will be used only for benchmarking and peer comparison.

The long-term ambition is to build the world’s largest continuously updated index of enterprise AI value, creating a common point of reference that CEOs, CFOs, CIOs and boards can consult before allocating additional capital.

The AI ROI Index is available now, free of charge, at The AI ROI Index.

About Weaver

Weaver is an AI-native systems integrator formed as a joint venture between Tquila and You.com. The company helps enterprises identify, quantify and capture measurable value from artificial intelligence through four integrated services: The AI ROI Index, AI Assessment, Custom AI Build and AI Literacy.

Weaver’s approach begins by proving the economic case for an AI investment before a system is built. It then delivers fixed-fee, production-grade AI systems integrated into the technology infrastructure businesses already use, while equipping employees to adopt, build with and manage those systems responsibly.

Weaver’s work is organized around a single standard: measurable business value from AI, used in production, not left in pilot.

For more information, visit goweaver.ai.