AI Maturity Benchmark for IT and HR: Assess Your AI Adoption Against Industry Peers 

An AI maturity benchmark for IT and HR shows how your employee service AI program compares with similar organizations: which tools they run, how they train people, what they measure, what value they report and what they spend. PeopleReign’s 2026 AI Maturity Benchmark Report brings those peer comparisons together from 34 sources, including surveys of more than 35,000 employees, and includes a Peer Scorecard you can use to assess your own organization.

If you lead IT or HR, you probably know what your own AI program produces. The open question for many leaders is how those results compare with organizations like theirs.

What is the 2026 AI benchmark report for IT and HR teams designed to do?

The PeopleReign’s 2026 AI Maturity Benchmark Report is a peer analysis of how organizations like yours select AI tools, train employees, measure impact and fund AI for IT and HR employee service. It is designed to give IT and HR leaders a common reference point: what peers are doing, where your own program sits among them, and which changes are worth considering next.

Your internal metrics show how your program is performing. A peer comparison adds context about how similar organizations are approaching the same decisions. Published research suggests many organizations are still early in that process. IDC’s 2026 MaturityScape Benchmark (October 2026, 1,900 organizations worldwide) places 61.3% of organizations in the two earliest maturity stages and 3.1% in the most mature. Phenom’s benchmark of nearly 500 organizations (December 2025) found that 83% sit at low AI and automation maturity in HR.

What is an AI maturity assessment, and how does benchmarking against peers fit in?

An AI maturity assessment evaluates how far an organization has progressed with AI. An AI maturity benchmark adds a comparison: how that progress looks next to comparable peers. Many enterprise AI maturity assessments score an organization across the whole company or a single function. PeopleReign’s report focuses on employee service for IT and HR.

The report is a peer benchmark, not a personalized diagnostic. Its Peer Scorecard works as a self-assessment: you rate your own organization as lagging, median or leading against peer ranges. It covers six dimensions, each framed as a question your team can ask about its own program.

What three questions can an AI peer comparison answer?

The report is organized around three questions.

• What are peers doing? The most common peer tool stack, how leaders train employees and where they spend their AI budget.
• How are we doing? The Peer Scorecard rates your organization across the six dimensions.
• How can we improve? Three moves that separate leaders from the median, backed by benchmarks for service desk resolution, cost per ticket and employee engagement.

How wide are the gaps in AI adoption and IT service desk results?

Wide enough to change a budget conversation. Two figures from the report show why.

Training and AI adoption. Among employees with five or more hours of AI training, 79% use AI regularly, compared with 67% of those with less (BCG, AI at Work 2025, cited in the report). Training is one factor among several, and the report looks at what else separates high-adoption organizations from the rest.

IT service desk resolution. Autonomous resolution means the AI closes a request with no human agent involved and the request is not reopened. For IT service desks in North America, the report compiles Gartner, HDI and MetricNet benchmarks into a typical range of 20% to 30% and a best-in-class range of 40% to 60%. Closing that distance is a question of how peers organize tools, people and measurement, which is what the report examines. For a view of results measured in hours returned, read why agentic AI only matters when it gives people time back.

How do you prepare to benchmark your AI program against peers?

The Peer Scorecard is most useful when you arrive with your own baseline. Pull these five figures first:

• Your autonomous resolution rate for IT requests and for HR requests, counted only when no human was involved.
• Your fully loaded cost per ticket for each.
• Hours of AI training each employee has received.
• Your total annual AI spend per employee (total spend divided by headcount).
• Whether anyone in finance has reviewed how you calculate AI savings.

If you cannot produce one of these, that is already a useful result. It tells you which dimension to look at first.

What data is the report based on, and what are its limits?

The report synthesizes 34 sources published between June 2025 and September 2026. They include earnings disclosures, card-spend data from more than 70,000 businesses and surveys of more than 35,000 employees. Survey figures are self-reported, prices are list figures rather than negotiated rates, and the scope is U.S.-headquartered organizations with 2,000 or more employees.

Every source is listed in the methodology section so you can check the underlying data yourself.

Who should read the 2026 AI Maturity Benchmark Report?

CIOs, CHROs, and IT and HR operations leaders who want to see how their AI program compares with peers and build a business case for finance. IT leaders will find resolution and cost-per-ticket ranges. HR leaders will find adoption, engagement and change management comparisons, written without technical jargon.

Frequently asked questions

What is an AI maturity benchmark, and how is it different from an assessment?

An AI maturity benchmark compares how far an organization has progressed with AI against comparable peers. An AI maturity assessment evaluates that progress for a single organization. PeopleReign’s report is a peer benchmark that includes a Peer Scorecard, so you can assess your own organization against peer ranges.

What does the 2026 AI Maturity Benchmark Report for IT & HR Teams cover?

It covers six dimensions: tools, adoption, impact metrics, business value, change management and spend per employee. It shows the most common peer tool stack, how leaders train employees and where they spend their AI budget, and it includes a Peer Scorecard for rating your own organization as lagging, median or leading.

What are typical AI benchmarks for an IT service desk?

For IT service desks in North America, the report compiles Gartner, HDI and MetricNet benchmarks into a typical autonomous resolution rate of 20% to 30% and a best-in-class rate of 40% to 60%. Autonomous resolution means the AI closes the request with no human agent and no reopen. The report places these ranges next to cost per ticket and employee engagement benchmarks.

Is the report personalized to my company?

No. It is a peer benchmark for organizations, with a scorecard you can use to assess your own organization. If you want benchmarks for your company, you can request a custom peer benchmark from PeopleReign by emailing info@peoplereign.io.

What data is the report based on?

It synthesizes 34 sources published between June 2025 and September 2026, including earnings disclosures, card-spend data from more than 70,000 businesses and surveys of more than 35,000 employees. Survey figures are self-reported and prices are list figures, not negotiated rates. The scope is U.S.-headquartered organizations with 2,000 or more employees.

How do I get the report?

Download the 2026 AI Maturity Benchmark Report for IT & HR Teams to compare your tools, adoption, metrics, value, change management and spend with your peers.