EY vs BearingPoint: full comparison for 2026
Quick verdict
EY (4.2/5) edges ahead of BearingPoint (4.1/5) overall. EY is the better choice for enterprises building AI risk into existing controls. 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.
EY vs BearingPoint: head-to-head summary
| Criterion | EY | BearingPoint |
|---|---|---|
| Founded | 1989 | 2002 |
| HQ | London, UK | Amsterdam, Netherlands |
| Team size | ~400,000 | ~6,200 |
| Rating | 4.2 / 5 | 4.1 / 5 |
| Primary differentiator | AI risk work folded into existing technology risk and controls programs | 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, NIST AI RMF, GDPR | EU AI Act, DORA, SAP |
| Industries served | Financial services, Insurance, Public sector, Energy, Consumer | Banking, Insurance, Public sector, Manufacturing, Telecom |
EY vs BearingPoint: overview
EY
EY was formed by the 1989 merger of Ernst & Whinney and Arthur Young and employs about 400,000 people. Its advisory teams cover responsible AI, AI risk, and compliance programs, and its technology risk leaders have spoken publicly about how far real AI assurance still has to go. That candor is useful for buyers who want an honest view of what can be certified today. Like the rest of the Big Four, it sells implementation as well.
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: EY vs BearingPoint
| Capability | EY | 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: EY vs BearingPoint
| Framework / platform | EY | BearingPoint |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | N/A |
| DORA | N/A | ✓ |
| NIST AI RMF | ✓ | N/A |
| ISO/IEC 42001 | N/A | N/A |
| Azure | ✓ | ✓ |
| AWS | N/A | N/A |
| Google Cloud | N/A | N/A |
Pricing comparison: EY vs BearingPoint
| Criterion | EY | 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: EY vs BearingPoint
| Dimension | EY | BearingPoint |
|---|---|---|
| Best company size | Enterprise | Mid-market to enterprise |
| Best industries | Financial services, Insurance, Public sector | Banking, Insurance, Public sector |
| Best use cases | Adding AI risk to an existing controls framework., Responsible AI policies for a large insurer. | AI in financial crime prevention., Regulatory reporting combined with AI planning. |
| Typical project type | Fixed-scope assessment | Multi-use-case advisory |
EY vs BearingPoint: pros and cons
| EY | |
|---|---|
| + | Ties AI risk to controls frameworks finance teams already use |
| + | Realistic public view on the limits of AI assurance |
| + | Large global bench |
| - | Premium fees |
| - | Sells delivery alongside advice |
| - | Audit-client independence rules apply |
| 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 EY?
A typical fit: adding AI risk to an existing controls framework.
AI risk work folded into existing technology risk and controls programs. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Insurance, Public sector, Energy, Consumer.
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: EY 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 | Neither lists cost modeling; ask for a sample |
| 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 | EY |
| You want the same firm to build what it recommends | Both can deliver |
| Your budget is at the lower end | Compare: EY (Not disclosed) vs BearingPoint (Not disclosed) |
| You need advisers in many countries at once | EY |
Use case fit: EY vs BearingPoint
| Use case | EY fit | BearingPoint fit | Winner |
|---|---|---|---|
| Adding AI risk to an existing controls framework. | Strong | Limited | EY |
| Responsible AI policies for a large insurer. | Strong | Limited | EY |
| AI in financial crime prevention. | Limited | Strong | BearingPoint |
| Regulatory reporting combined with AI planning. | Limited | Strong | BearingPoint |
Verdict: EY vs BearingPoint
EY (4.2/5) is the stronger overall choice for most AI Advisory projects. AI risk work folded into existing technology risk and controls programs.
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.
Related comparisons
EY vs BearingPoint FAQ
Is EY better than BearingPoint?
EY (4.2/5) scores higher overall, but "better" depends on your use case. EY's strongest advantage: ties AI risk to controls frameworks finance teams already use. BearingPoint's strongest advantage: strong in European banking regulation.
How do EY and BearingPoint differ in pricing?
EY'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: EY or BearingPoint?
EY 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 EY and BearingPoint?
EY's primary differentiator is: AI risk work folded into existing technology risk and controls programs. BearingPoint's primary differentiator is: european consulting with regulatory technology products from the same group. They also differ in team size (~400,000 vs ~6,200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Insurance vs Banking, Insurance).
Verify all details directly with each firm before making a decision.