AI Maturity in Financial services.
Benchmark cohort: Financial services companies in Europe with 100–249 employees — the most mid-market-typical band. Scores are calibrated against the public research cited per row, and continuously refined as real Arqmetrica Index responses accumulate. Read the methodology.
The six dimensions
Per-dimension median, with the p25–p75 range that captures the middle 50% of companies in this cohort. Bars are scaled to 0–100.
Strategy & vision
Weighted at 18%Source:MIT Sloan/BCG 2024 — Strategy cluster, fin subset
Data foundations
Weighted at 17%A notable strength for this sector.Regulated industries inherit decades of disciplined data governance — KYC, AML, transaction monitoring all force structured, auditable data pipelines. The Index typically picks this up as a clear lead on data quality and lineage.
Source:MIT Sloan/BCG 2024 — Data cluster, fin subset (regulated industry advantage)
People & capability
Weighted at 17%Source:Stanford AI Index 2024 — Talent chapter, fin subset
Governance & ethics
Weighted at 17%A notable strength for this sector.Financial services have lived with regulator-led model governance long before the EU AI Act — SR 11-7, the EBA model risk guidelines, MiFID II algo-trading rules. The result is mid-market firms with named owners, model inventories, and change controls already in place.
Source:Capgemini EU AI Act readiness survey, Q4 2024, fin subset (regulated)
Tooling & infrastructure
Weighted at 14%Source:MIT Sloan/BCG 2024 — Tooling cluster, fin subset
ROI & measurement
Weighted at 17%Source:MIT Sloan/BCG 2024 — Value capture cluster, fin subset
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