KPMG vs Artefact: full comparison for 2026
Quick verdict
KPMG (4.6/5) edges ahead of Artefact (4.2/5) overall. KPMG is the better choice for regulated firms needing audit-grade AI governance. Artefact is the stronger option for large consumer brands across European markets. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
KPMG vs Artefact: head-to-head summary
| Criterion | KPMG | Artefact |
|---|---|---|
| Founded | 1987 | 2014 |
| HQ | London, UK (KPMG International) | Paris, France |
| Team size | 275,000+ | 1,700+ |
| Rating | 4.6 / 5 | 4.2 / 5 |
| Primary differentiator | Governance and assurance depth, backed by its own ISO/IEC 42001-certified AI management system | Data governance and AI planning with engineers in the same firm |
| Pricing model | Engagement fees per scope; rates not published | Consulting fees; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, ISO/IEC 42001, NIST AI RMF | EU AI Act, GDPR, Google Cloud |
| Industries served | Banking, Insurance, Public sector, Healthcare, Energy, Manufacturing | Consumer goods, Retail, Luxury, Financial services, Telecom |
KPMG vs Artefact: overview
KPMG
KPMG was formed in 1987 through the merger of Peat Marwick International and Klynveld Main Goerdeler, and its member firms employ around 275,000 people. In December 2025 KPMG International announced ISO/IEC 42001 certification for its own AI management system, audited by Schellman; member firms in Australia, Spain, India, and the US had certified earlier. Its Trusted AI approach covers governance design, risk classification under the EU AI Act, controls testing, and assurance. For a CFO or chief risk officer who needs advice that an audit committee will accept, few firms have a larger bench. Auditor-independence rules can bar it from advising its own audit clients. Check that first.
Artefact
Since its founding in Paris in 2014, Artefact has grown to more than 1,700 people in 25 countries. Cinven bought a majority stake in 2025 at a valuation above €1 billion, and the firm plans to triple in size by 2030, partly through acquisitions. Its advisory partners handle data governance and AI planning for large consumer brands. The same firm then builds, which is efficient but less neutral than a pure adviser.
Services and capabilities: KPMG vs Artefact
| Capability | KPMG | Artefact |
|---|---|---|
| Readiness assessment | ✓ | ✗ |
| Use-case prioritization | ✗ | ✓ |
| TCO / ROI modeling | ✓ | ✗ |
| AI governance & EU AI Act | ✓ | ✓ |
| Build vs. buy advice | ✗ | ✗ |
| Independent audit or assurance | ✓ | ✗ |
| Roadmap any vendor can implement | ✗ | ✗ |
| Delivery capability after advice | ✓ | ✓ |
Frameworks and platforms: KPMG vs Artefact
| Framework / platform | KPMG | Artefact |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | ✓ |
| DORA | ✓ | N/A |
| NIST AI RMF | ✓ | N/A |
| ISO/IEC 42001 | ✓ | N/A |
| Azure | ✓ | ✓ |
| AWS | N/A | N/A |
| Google Cloud | N/A | ✓ |
Pricing comparison: KPMG vs Artefact
| Criterion | KPMG | Artefact |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope assessment, Multi-use-case advisory, Audit or certification, Delivery team | Multi-use-case advisory, Ongoing advisory, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: KPMG vs Artefact
| Dimension | KPMG | Artefact |
|---|---|---|
| Best company size | Enterprise | Mid-market to enterprise |
| Best industries | Banking, Insurance, Public sector | Consumer goods, Retail, Luxury |
| Best use cases | Designing an AI governance framework that an audit committee will sign off., Classifying an AI portfolio under the EU AI Act across several countries. | Data governance before scaling marketing AI., AI planning for a consumer brand in many EU markets. |
| Typical project type | Fixed-scope assessment | Multi-use-case advisory |
KPMG vs Artefact: pros and cons
| KPMG | |
|---|---|
| + | Runs its own certified AI management system, so it advises from first-hand experience of ISO/IEC 42001 |
| + | Risk, audit, and regulatory specialists work in one network |
| + | Can carry governance work across dozens of countries |
| + | Assurance work is set up to satisfy audit committees and regulators |
| - | Auditor-independence rules may stop it advising its own audit clients |
| - | Fees and team sizes suit large organizations more than mid-size ones |
| - | The same network sells implementation, so ask how advice and delivery are separated |
| Artefact | |
|---|---|
| + | Data governance is a core practice |
| + | Advisers and engineers share one firm |
| + | Present in 25 countries |
| - | Majority-owned by Cinven since 2025, with acquisition-led growth ahead |
| - | Advice tends to lead to its own delivery work |
| - | Best suited to large brands |
Who should choose KPMG?
A typical fit: designing an AI governance framework that an audit committee will sign off.
Governance and assurance depth, backed by its own ISO/IEC 42001-certified AI management system. Minimum engagement is not publicly disclosed. Works best with clients in Banking, Insurance, Public sector, Healthcare, Energy, Manufacturing.
Who should choose Artefact?
A typical fit: data governance before scaling marketing AI.
Data governance and AI planning with engineers in the same firm. Minimum engagement is not publicly disclosed. Works best with clients in Consumer goods, Retail, Luxury, Financial services, Telecom.
Decision matrix: KPMG vs Artefact
| Your situation | Recommended choice |
|---|---|
| You want advice with no build contract attached | Neither; write the build as a separate decision |
| Finance needs run costs before approving anything | KPMG |
| Some of your use cases may be high-risk under the EU AI Act | Both cover AI Act classification |
| You need an outside check on a system already built | KPMG |
| You want the same firm to build what it recommends | Both can deliver |
| Your budget is at the lower end | Compare: KPMG (Not disclosed) vs Artefact (Not disclosed) |
| You need advisers in many countries at once | KPMG |
Use case fit: KPMG vs Artefact
| Use case | KPMG fit | Artefact fit | Winner |
|---|---|---|---|
| Designing an AI governance framework that an audit committee will sign off. | Strong | Limited | KPMG |
| Classifying an AI portfolio under the EU AI Act across several countries. | Strong | Limited | KPMG |
| Data governance before scaling marketing AI. | Limited | Strong | Artefact |
| AI planning for a consumer brand in many EU markets. | Limited | Strong | Artefact |
Verdict: KPMG vs Artefact
KPMG (4.6/5) is the stronger overall choice for most AI Advisory projects. Governance and assurance depth, backed by its own ISO/IEC 42001-certified AI management system.
Artefact (4.2/5) is worth a look if you need AI planning for a consumer brand in many EU markets. If your situation matches that, Artefact is a competitive option.
Related comparisons
KPMG vs Artefact FAQ
Is KPMG better than Artefact?
KPMG (4.6/5) scores higher overall, but "better" depends on your use case. KPMG's strongest advantage: runs its own certified AI management system, so it advises from first-hand experience of ISO/IEC 42001. Artefact's strongest advantage: data governance is a core practice.
How do KPMG and Artefact differ in pricing?
KPMG's pricing: engagement fees per scope; rates not published. Artefact's pricing: consulting fees; rates not published. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: KPMG or Artefact?
KPMG is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each firm before shortlisting.
What are the main differences between KPMG and Artefact?
KPMG's primary differentiator is: governance and assurance depth, backed by its own ISO/IEC 42001-certified AI management system. Artefact's primary differentiator is: data governance and AI planning with engineers in the same firm. They also differ in team size (275,000+ vs 1,700+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Banking, Insurance vs Consumer goods, Retail).
Verify all details directly with each firm before making a decision.