KPMG vs BearingPoint: full comparison for 2026
Quick verdict
KPMG (4.6/5) edges ahead of BearingPoint (4.1/5) overall. KPMG is the better choice for regulated firms needing audit-grade AI governance. BearingPoint is the stronger option for european banks pairing AI with regulatory reporting. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
KPMG vs BearingPoint: head-to-head summary
| Criterion | KPMG | BearingPoint |
|---|---|---|
| Founded | 1987 | 2002 |
| HQ | London, UK (KPMG International) | Amsterdam, Netherlands |
| Team size | 275,000+ | ~6,200 |
| Rating | 4.6 / 5 | 4.1 / 5 |
| Primary differentiator | Governance and assurance depth, backed by its own ISO/IEC 42001-certified AI management system | European consulting with regulatory technology products from the same group |
| 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, DORA, SAP |
| Industries served | Banking, Insurance, Public sector, Healthcare, Energy, Manufacturing | Banking, Insurance, Public sector, Manufacturing, Telecom |
KPMG vs BearingPoint: 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.
BearingPoint
BearingPoint is headquartered in Amsterdam, has about 6,200 employees, and passed €1 billion in annual revenue in 2023. Its consulting unit handles advisory work, while a separate solutions business sells regulatory reporting and analytics tools. Recent AI work includes an agentic AI project in financial crime prevention for Danske Bank. Expect a European consultancy that is comfortable with regulators and runs AI advice on a fairly traditional consulting model.
Services and capabilities: KPMG vs BearingPoint
| Capability | KPMG | BearingPoint |
|---|---|---|
| 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 BearingPoint
| Framework / platform | KPMG | BearingPoint |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | N/A |
| DORA | ✓ | ✓ |
| NIST AI RMF | ✓ | N/A |
| ISO/IEC 42001 | ✓ | N/A |
| Azure | ✓ | ✓ |
| AWS | N/A | N/A |
| Google Cloud | N/A | N/A |
Pricing comparison: KPMG vs BearingPoint
| Criterion | KPMG | BearingPoint |
|---|---|---|
| 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 BearingPoint
| Dimension | KPMG | BearingPoint |
|---|---|---|
| Best company size | Enterprise | Mid-market to enterprise |
| Best industries | Banking, Insurance, Public sector | Banking, Insurance, Public sector |
| 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. | AI in financial crime prevention., Regulatory reporting combined with AI planning. |
| Typical project type | Fixed-scope assessment | Multi-use-case advisory |
KPMG vs BearingPoint: 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 |
| BearingPoint | |
|---|---|
| + | Strong in European banking regulation |
| + | Financial crime AI work with a large Nordic bank |
| + | Mid-size alternative to the Big Four |
| - | Its own regulatory software can shape advice |
| - | AI governance is a newer practice |
| - | Rates not published |
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 BearingPoint?
A typical fit: AI in financial crime prevention.
European consulting with regulatory technology products from the same group. Minimum engagement is not publicly disclosed. Works best with clients in Banking, Insurance, Public sector, Manufacturing, Telecom.
Decision matrix: KPMG vs BearingPoint
| 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 BearingPoint (Not disclosed) |
| You need advisers in many countries at once | KPMG |
Use case fit: KPMG vs BearingPoint
| Use case | KPMG fit | BearingPoint 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 |
| AI in financial crime prevention. | Limited | Strong | BearingPoint |
| Regulatory reporting combined with AI planning. | Limited | Strong | BearingPoint |
Verdict: KPMG vs BearingPoint
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.
BearingPoint (4.1/5) is worth a look if you need regulatory reporting combined with AI planning. If your situation matches that, BearingPoint is a competitive option.
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KPMG vs BearingPoint FAQ
Is KPMG better than BearingPoint?
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. BearingPoint's strongest advantage: strong in European banking regulation.
How do KPMG and BearingPoint differ in pricing?
KPMG's pricing: engagement fees per scope; rates not published. BearingPoint'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 BearingPoint?
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 BearingPoint?
KPMG's primary differentiator is: governance and assurance depth, backed by its own ISO/IEC 42001-certified AI management system. BearingPoint's primary differentiator is: european consulting with regulatory technology products from the same group. They also differ in team size (275,000+ vs ~6,200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Banking, Insurance vs Banking, Insurance).
Verify all details directly with each firm before making a decision.