BearingPoint vs Slalom: full comparison for 2026
Quick verdict
BearingPoint (4.1/5) edges ahead of Slalom (3.8/5) overall. BearingPoint is the better choice for european banks pairing AI with regulatory reporting. Slalom is the stronger option for north American firms wanting local consultants. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
BearingPoint vs Slalom: head-to-head summary
| Criterion | BearingPoint | Slalom |
|---|---|---|
| Founded | 2002 | 2001 |
| HQ | Amsterdam, Netherlands | Seattle, USA |
| Team size | ~6,200 | 10,000+ |
| Rating | 4.1 / 5 | 3.8 / 5 |
| Primary differentiator | European consulting with regulatory technology products from the same group | Local-office consultants for AI governance and operating models |
| Pricing model | Consulting fees; rates not published | Consulting fees; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, DORA, SAP | AWS, Azure, Google Cloud |
| Industries served | Banking, Insurance, Public sector, Manufacturing, Telecom | Financial services, Healthcare, Retail, Public sector |
BearingPoint vs Slalom: overview
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.
Slalom
Slalom has more than 10,000 employees in over 50 offices and was founded in Seattle in 2001. Its AI and data strategists work on governance and operating models, and a new chief AI officer arrived in August 2026. Close ties with the major cloud and data vendors mean its advice usually points toward those platforms.
Services and capabilities: BearingPoint vs Slalom
| Capability | BearingPoint | Slalom |
|---|---|---|
| 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: BearingPoint vs Slalom
| Framework / platform | BearingPoint | Slalom |
|---|---|---|
| EU AI Act | ✓ | N/A |
| GDPR | N/A | N/A |
| DORA | ✓ | N/A |
| NIST AI RMF | N/A | N/A |
| ISO/IEC 42001 | N/A | N/A |
| Azure | ✓ | ✓ |
| AWS | N/A | ✓ |
| Google Cloud | N/A | ✓ |
Pricing comparison: BearingPoint vs Slalom
| Criterion | BearingPoint | Slalom |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Multi-use-case advisory, Ongoing advisory, Delivery team | Multi-use-case advisory, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: BearingPoint vs Slalom
| Dimension | BearingPoint | Slalom |
|---|---|---|
| Best company size | Mid-market to enterprise | Enterprise |
| Best industries | Banking, Insurance, Public sector | Financial services, Healthcare, Retail |
| Best use cases | AI in financial crime prevention., Regulatory reporting combined with AI planning. | AI governance for a North American company., Operating-model changes for AI. |
| Typical project type | Multi-use-case advisory | Multi-use-case advisory |
BearingPoint vs Slalom: pros and cons
| 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 |
| Slalom | |
|---|---|
| + | Local teams for on-site work |
| + | Governance and operating-model experience |
| + | Can build afterward |
| - | Advice leans toward its partner platforms |
| - | Limited EU regulatory depth |
| - | New AI leadership still settling in |
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.
Who should choose Slalom?
A typical fit: AI governance for a North American company.
Local-office consultants for AI governance and operating models. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail, Public sector.
Decision matrix: BearingPoint vs Slalom
| 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 | Neither; use a dedicated auditor |
| You want the same firm to build what it recommends | Both can deliver |
| Your budget is at the lower end | Compare: BearingPoint (Not disclosed) vs Slalom (Not disclosed) |
| You need advisers in many countries at once | Slalom |
Use case fit: BearingPoint vs Slalom
| Use case | BearingPoint fit | Slalom fit | Winner |
|---|---|---|---|
| AI in financial crime prevention. | Strong | Limited | BearingPoint |
| Regulatory reporting combined with AI planning. | Strong | Limited | BearingPoint |
| AI governance for a North American company. | Limited | Strong | Slalom |
| Operating-model changes for AI. | Limited | Strong | Slalom |
Verdict: BearingPoint vs Slalom
BearingPoint (4.1/5) is the stronger overall choice for most AI Advisory projects. European consulting with regulatory technology products from the same group.
Slalom (3.8/5) is worth a look if you need operating-model changes for AI. If your situation matches that, Slalom is a competitive option.
Related comparisons
BearingPoint vs Slalom FAQ
Is BearingPoint better than Slalom?
BearingPoint (4.1/5) scores higher overall, but "better" depends on your use case. BearingPoint's strongest advantage: strong in European banking regulation. Slalom's strongest advantage: local teams for on-site work.
How do BearingPoint and Slalom differ in pricing?
BearingPoint's pricing: consulting fees; rates not published. Slalom'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: BearingPoint or Slalom?
Slalom 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 BearingPoint and Slalom?
BearingPoint's primary differentiator is: european consulting with regulatory technology products from the same group. Slalom's primary differentiator is: local-office consultants for AI governance and operating models. They also differ in team size (~6,200 vs 10,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Banking, Insurance vs Financial services, Healthcare).
Verify all details directly with each firm before making a decision.