AI models now support decisions in finance , healthcare, insurance, logistics , hiring and customer service. But if these models make biased, unsafe, or inaccurate outputs, then companies can run into compliance issues, security exposure, and reputational trouble sooner than expected.

We looked over company websites, Clutch profiles, AI service pages , certifications, and also public client feedback. From 30-plus providers, we picked six companies that show relevance,

Top 6 AI Consulting Companies for Model Risk and Safety Audits

Cleveroad
KPMG
Deloitte
Kroll
RSM
Mosaic Data Science

1. Cleveroad

Founded in: 2011
Headquarters: Tallinn, Estonia
Hourly Rate: $50-$99/hr
Industry Expertise: Healthcare, FinTech, Logistics, Insurance, Retail, Education
Reviews: 79 reviews on Clutch, average rating 4.9/5

Cleveroad is kinda a software development and AI consulting company that helps businesses evaluate and tune AI-powered systems. Sometimes they do this through ai auditing services, to see how well the model performs, how good the data quality is, plus security risks, compliance gaps, and that long-term steadiness part that people often forget.

They can also review AI systems for bias and for explainability, plus things like model drift, input vulnerabilities, privacy or data protection risks, and even integration hiccups. The whole thing is especially useful for teams that rely on AI in medical workflows, financial decisions, insurance claims, logistics planning, and enterprise automation.

Cleveroad is ISO certified, specifically with ISO 9001 and ISO 27001. They also have 79 reviews on Clutch, with an average score of 4.9/5.

2. KPMG

Founded in: 1987
Headquarters: Amstelveen, Netherlands
Hourly Rate: Custom pricing
Industry Expertise: Financial services, healthcare, government, technology, energy
Reviews: Public review data varies by region and directory

KPMG provides AI risk governance, cybersecurity, and model validation services for very large organizations, kind of like a one-stop shop, though it depends. Its teams help look at AI systems for compliance, fairness, transparency, robustness, security, and that sort of thing.

Honestly, the company feels like a strong fit for regulated industries where there is a real need for AI audits that tie back to internal controls, compliance programs, and enterprise risk management.

3. Deloitte

Founded in: 1845
Headquarters: London, United Kingdom
Hourly Rate: Custom pricing
Industry Expertise: Financial services, healthcare, government, manufacturing, technology
Reviews: Public review data varies by region and directory

Deloitte provides AI governance and AI assurance, risk management, and responsible AI consulting. Their teams help organizations craft AI policies, put accountability in place, handle documentation, do testing , and make sure everything is set for regulatory readiness.

Deloitte fits enterprises that need model risk reviews tied in with legal , security, compliance, and business programs all across multiple markets.

4. Kroll

Founded in: 1972
Headquarters: New York, USA
Hourly Rate: Custom pricing
Industry Expertise: Financial services, legal, healthcare, technology, government
Reviews: Public review data varies by directory

Kroll offers AI risk, governance, cybersecurity, and regulatory advisory services, kind of like a one-stop approach, though it depends on the client. The firm helps organizations lower legal, business, and security risks that are connected to AI adoption.

And because they bring broader know-how in cyber risk, compliance, plus investigations, they can be especially useful if a company is thinking about AI misuse, data leakage and even adversarial attacks, along with the whole regulatory exposure piece.

5. RSM

Founded in: 1964
Headquarters: Chicago, USA
Hourly Rate: Custom pricing
Industry Expertise: Financial services, healthcare, manufacturing, retail, professional services
Reviews: Public review data varies by region and directory

RSM provides AI governance consulting and digital advisory services for middle-market and enterprise organizations. The teams there help companies figure out AI readiness, set up controls, and connect governance with the day-to-day business processes. It is kind of a grounded approach, not the heavy, oversized thing you might expect from a giant program.

RSM tends to be a practical pick for organizations that want straightforward AI oversight without building an overly enterprise governance program.

6. Mosaic Data Science

Founded in: 2016
Headquarters: Leesburg, USA
Hourly Rate: Custom pricing
Industry Expertise: Healthcare, finance, manufacturing, logistics, retail, energy
Reviews: Limited public review data available

Mosaic Data Science is sort of a consulting outfit in the AI and data science world, more specifically centered on machine learning systems, explainable AI, and bias audits. They basically have a team that helps orgs validate and pressure-test models for stuff like performance and fairness, plus transparency and reliability, in a way that feels practical, not just theoretical.

So if a business needs a technical AI assessment from a specialized data science team before they start scaling its AI systems, Mosaic Data Science can be pretty relevant for that kind of step.

How to Choose an AI Consulting Company for Model Risk and Safety Audits

Select one which can conduct an audit on both the AI model and its environment. Important considerations are:

Knowledge of AI governance and model risk
Bias, fairness, and transparency evaluation
AI system security testing
Knowledge of industry regulations
Excellent reviews and delivery track record
Relevant certifications
Capacity to correct issues found during the audit

By conducting AI audits, organizations can uncover potential problems before they impact the customers, regulators, or their bottom line. For firms relying heavily on AI in critical decision-making, this must be done systematically.

Author’s bio

Yuliya Melnik is a technical writer at Cleveroad, a software development company specializing in web and mobile solutions. She focuses on emerging technologies and how they solve real-world challenges, creating clear and engaging content that connects complex ideas with practical value.