Deloitte
London, England, United Kingdom
Deloitte's AI governance work is organized under its Trustworthy AI™ framework, which defines seven dimensions AI systems should meet, including transparent and explainable, fair and impartial, robust and reliable, and safe and secure, paired with an AI Risk and Governance Program covering solution-level controls (use-case risk tiering, lifecycle gate reviews) and portfolio-level oversight (enterprise AI inventory, risk operating model). Deloitte also fields a recurring State of Generative AI in the Enterprise survey series that specifically tracks how trust-building governance actions correlate with realized AI benefits.
- Headquarters
- London, England, United Kingdom
- Founded
- 1845
- Website
- www.deloitte.com
Notable facts
- Deloitte's Trustworthy AI™ framework defines seven dimensions AI systems should meet: transparent and explainable, fair and impartial, robust and reliable, respectful of privacy, safe and secure, and responsible and accountable.
- Deloitte's AI Risk and Governance Program packages a named set of solution-level controls (use-case risk tiering, lifecycle gate reviews, control design/testing) and portfolio-level oversight components (AI risk operating model, enterprise AI inventory) into a formal governance offering.
- Deloitte's State of Generative AI in the Enterprise survey series found organizations that took a high number of trust-building governance actions were more likely to report that two-thirds or more of their expected gen AI benefits had been achieved.
Service categories
Pricing
Pricing not publicly disclosed on the vendor's site. Typical for B2B AI-governance engagements, which are usually quoted per scope.
Case study
Case study describing how Deloitte helped Thomson Reuters launch a unified enterprise-wide AI/ML model monitoring and governance platform covering model monitoring, data drift, and bias detection. Read the case study →
Sources. This profile is compiled from public reference data, WebSearch-verified againstsource 1 · source 2 · source 3. Data as of 2026-07-13. See methodology.
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