Artefact vs Slalom: full comparison for 2026
Quick verdict
Artefact (4.2/5) edges ahead of Slalom (3.8/5) overall. Artefact is the better choice for large consumer brands across European markets. 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.
Artefact vs Slalom: head-to-head summary
| Criterion | Artefact | Slalom |
|---|---|---|
| Founded | 2014 | 2001 |
| HQ | Paris, France | Seattle, USA |
| Team size | 1,700+ | 10,000+ |
| Rating | 4.2 / 5 | 3.8 / 5 |
| Primary differentiator | Data governance and AI planning with engineers in the same firm | 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, GDPR, Google Cloud | AWS, Azure, Google Cloud |
| Industries served | Consumer goods, Retail, Luxury, Financial services, Telecom | Financial services, Healthcare, Retail, Public sector |
Artefact vs Slalom: overview
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.
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: Artefact vs Slalom
| Capability | Artefact | 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: Artefact vs Slalom
| Framework / platform | Artefact | Slalom |
|---|---|---|
| EU AI Act | ✓ | N/A |
| GDPR | ✓ | N/A |
| DORA | N/A | N/A |
| NIST AI RMF | N/A | N/A |
| ISO/IEC 42001 | N/A | N/A |
| Azure | ✓ | ✓ |
| AWS | N/A | ✓ |
| Google Cloud | ✓ | ✓ |
Pricing comparison: Artefact vs Slalom
| Criterion | Artefact | 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: Artefact vs Slalom
| Dimension | Artefact | Slalom |
|---|---|---|
| Best company size | Mid-market to enterprise | Enterprise |
| Best industries | Consumer goods, Retail, Luxury | Financial services, Healthcare, Retail |
| Best use cases | Data governance before scaling marketing AI., AI planning for a consumer brand in many EU markets. | AI governance for a North American company., Operating-model changes for AI. |
| Typical project type | Multi-use-case advisory | Multi-use-case advisory |
Artefact vs Slalom: pros and cons
| 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 |
| 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 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.
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: Artefact 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: Artefact (Not disclosed) vs Slalom (Not disclosed) |
| You need advisers in many countries at once | Slalom |
Use case fit: Artefact vs Slalom
| Use case | Artefact fit | Slalom fit | Winner |
|---|---|---|---|
| Data governance before scaling marketing AI. | Strong | Limited | Artefact |
| AI planning for a consumer brand in many EU markets. | Strong | Limited | Artefact |
| AI governance for a North American company. | Limited | Strong | Slalom |
| Operating-model changes for AI. | Limited | Strong | Slalom |
Verdict: Artefact vs Slalom
Artefact (4.2/5) is the stronger overall choice for most AI Advisory projects. Data governance and AI planning with engineers in the same firm.
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
Artefact vs Slalom FAQ
Is Artefact better than Slalom?
Artefact (4.2/5) scores higher overall, but "better" depends on your use case. Artefact's strongest advantage: data governance is a core practice. Slalom's strongest advantage: local teams for on-site work.
How do Artefact and Slalom differ in pricing?
Artefact'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: Artefact 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 Artefact and Slalom?
Artefact's primary differentiator is: data governance and AI planning with engineers in the same firm. Slalom's primary differentiator is: local-office consultants for AI governance and operating models. They also differ in team size (1,700+ vs 10,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Consumer goods, Retail vs Financial services, Healthcare).
Verify all details directly with each firm before making a decision.