AI BENCHMARKS THAT TELL YOU WHERE YOU ACTUALLY STAND

Quick Answer: NUUN AI's think-tank practice benchmarks AI initiatives across industries — maturity scoring, adoption velocity, ROI comparisons, and governance posture. Decisions about AI spend and roadmap need evidence about what peers have shipped and what actually works, not vendor slide-ware.

WHAT WE DELIVER

Maturity benchmarks. Multi-dimensional scoring vs. peer set and sector.
Adoption and velocity tracking. Pilot-to-production ratios, time-to-production, scaling curves.
ROI and value studies. Documented outcomes against AI investment by use case.
Governance benchmarking. Policy, risk, and oversight posture vs. frameworks and peers.
Syndicated studies. Cross-industry research, published reports, industry dashboards.
Custom benchmarks. Tailored to your peer set, use cases, and internal definition of success.

HOW WE DO IT

Define the benchmark. Dimensions, cohort, and KPIs — grounded in NIST AI RMF and ISO/IEC 42001 where relevant.
Collect primary and secondary data. Survey, interview, public filings, and proprietary panel data.
Normalize and score. Peer-group analytics with documented methodology.
Report with prescriptive implications. What to stop, start, invest in, and govern.
Revisit annually. AI moves fast; benchmarks that aren't refreshed mislead.

WHEN IT FITS

Boards asking "how do we compare" on AI spend and outcomes.
CIOs building the case for next-phase AI investment.
Industry associations commissioning member-wide AI studies.
AI vendors needing credible third-party benchmarks.

SELECTED WORK

Financial services client — Member AI benchmark → [X] firms surveyed, [Y] interviews, industry report published. Read case →
Retail client — AI-adoption study → [X]% of retailers in production, [Y]% piloting, velocity metrics released. Read case →

SOURCES & FURTHER READING

AI & Digital Transformation practice
AI strategy and roadmap
Specialized studies
NIST AI RMF — https://www.nist.gov/itl/ai-risk-management-framework
ISO/IEC 42001 — https://www.iso.org/standard/81230.html

Frequently asked.

How is this different from analyst benchmarks (Gartner, Forrester)?

We combine analyst-style framing with primary research. Our benchmarks are grounded in survey and interview data, not vendor positioning. We publish methodology; you can inspect the work.

Can you run a benchmark confidentially?

Yes. Confidential peer-group benchmarks where participants see their own scores and anonymized cohort averages. Cohort construction and anonymization documented upfront.

Which frameworks do you use?

NIST AI RMF, ISO/IEC 42001, and sector-specific frameworks (FDA for clinical AI, FINRA for financial services AI). Custom framework design where industry lacks a standard.

What's the typical timeline?

10–16 weeks for a multi-firm syndicated study. 6–10 weeks for a custom single-client benchmark. Ongoing tracking programs refresh annually or semi-annually.

Do you publish findings?

For syndicated studies, yes — participants receive reports and usually a public summary is published. For private benchmarks, findings stay with the client unless co-publication is agreed.