Slalom vs Version 1: full comparison for 2026
Quick verdict
Slalom (3.7/5) edges ahead of Version 1 (3.2/5) overall. Slalom is the better choice for enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program. Version 1 is the stronger option for enterprises wanting an Ireland/UK-anchored management consultancy for AI digital transformation. The right choice depends on your project size, budget, and required tech stack.
Slalom vs Version 1: head-to-head summary
| Criterion | Slalom | Version 1 |
|---|---|---|
| Founded | 2001 | 1996 |
| HQ | Seattle, WA, USA | Dublin, Ireland |
| Team size | 7800-12000 | 3000+ |
| Rating | 3.7 / 5 | 3.2 / 5 |
| Best for | Enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program | Enterprises wanting an Ireland/UK-anchored management consultancy for AI digital transformation |
| Pricing model | Retainer, dedicated team | Retainer, dedicated team |
| Min. engagement | $75K | $60K |
| Primary tech stack | AWS, Azure, GCP | AWS, Azure |
| Industries served | Fintech, Healthcare, Retail, Manufacturing | Fintech, Retail, Healthcare |
Slalom vs Version 1: overview
Slalom
Slalom was founded in 2001 by Brad Jackson and John Tobin and is headquartered in Seattle, Washington, with employee counts reported between roughly 7,800 and 12,000 across 45 markets in eight countries. In 2024 the firm launched a major AI upskilling program for its consultants worldwide and opened a new technology hub in Mexico focused on AI and data science hiring.
Version 1
Version 1 was founded in 1996 and is headquartered in Dublin, Ireland, with additional offices in London, New York, and Chicago, and 3,000+ employees. The firm provides management consulting, managed services, and software development, and positions itself as a leader in AI and digital transformation, partnering with global organizations to adopt AI technology.
Services and capabilities: Slalom vs Version 1
| Capability | Slalom | Version 1 |
|---|---|---|
| Enterprise automation | ✓ | ✓ |
| Agent orchestration | ✓ | ✗ |
| RAG & knowledge agents | ✗ | ✗ |
| Data & analytics agents | ✗ | ✗ |
| LLM integration | ✗ | ✗ |
| Workflow integration | ✓ | ✓ |
Tech stack comparison: Slalom vs Version 1
| Framework / platform | Slalom | Version 1 |
|---|---|---|
| LangChain | N/A | N/A |
| LangGraph | N/A | N/A |
| AutoGen | N/A | N/A |
| LlamaIndex | N/A | N/A |
| OpenAI | N/A | N/A |
| Anthropic Claude | N/A | N/A |
| Pinecone | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Slalom vs Version 1
| Criterion | Slalom | Version 1 |
|---|---|---|
| Minimum engagement | $75K | $60K |
| Engagement models | Retainer, Dedicated team, T&M | Retainer, Dedicated team, T&M |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Slalom vs Version 1
| Dimension | Slalom | Version 1 |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail | Fintech, Retail, Healthcare |
| Best use cases | Enterprise AI transformation advisory, Large-scale business-technology consulting | Management consulting for AI adoption, Multi-national digital transformation advisory |
| Typical project type | Retainer | Retainer |
Slalom vs Version 1: pros and cons
| Slalom | |
|---|---|
| + | 23+ years of business-and-technology consulting history across 45 global markets |
| + | Documented internal AI upskilling investment (2024) beyond client-facing marketing |
| + | New Mexico technology hub adds nearshore AI/data science delivery capacity |
| - | Large-firm structure means less boutique-style senior-partner attention on smaller engagements |
| - | High minimum engagement puts it out of reach for smaller buyers |
| Version 1 | |
|---|---|
| + | 28+ years of management consulting and digital transformation history |
| + | 3,000+ employees support sizeable multi-national enterprise programs |
| + | Dublin HQ with London/New York/Chicago offices suits transatlantic enterprise buyers |
| - | Large-firm structure means less boutique-style senior-partner attention on smaller engagements |
| - | AI agent-specific case studies are less prominent than its broader management-consulting portfolio |
Who should choose Slalom?
Slalom is the right choice for enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program.
Global AI upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing. Minimum engagement starts at $75K. Works best with clients in Fintech, Healthcare, Retail, Manufacturing.
Who should choose Version 1?
Version 1 is the right choice for enterprises wanting an Ireland/UK-anchored management consultancy for AI digital transformation.
Dublin headquarters gives it a distinct Irish/UK/US multinational footprint among this roster's large consultancies. Minimum engagement starts at $60K. Works best with clients in Fintech, Retail, Healthcare.
Decision matrix: Slalom vs Version 1
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Slalom |
| Your budget is at the lower end | Version 1 |
| You need specialist depth in a specific vertical | Slalom |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Slalom vs Version 1
| Use case | Slalom fit | Version 1 fit | Winner |
|---|---|---|---|
| Enterprise AI transformation advisory | Strong | Strong | Both equally |
| Large-scale business-technology consulting | Strong | Limited | Slalom |
| Management consulting for AI adoption | Limited | Strong | Version 1 |
| Multi-national digital transformation advisory | Limited | Strong | Version 1 |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Slalom vs Version 1
Slalom (3.7/5) is the stronger overall choice for most AI Agent projects. Global AI upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing. It is best for enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program.
Version 1 (3.2/5) is the better choice when enterprises wanting an Ireland/UK-anchored management consultancy for AI digital transformation. If your situation matches those criteria, Version 1 is a competitive option.
Related comparisons
Slalom vs Version 1 FAQ
Is Slalom better than Version 1?
Slalom (3.7/5) scores higher overall, but "better" depends on your use case. Slalom is better for enterprises wanting a large, geographically diverse consultancy with a formal internal AI upskilling program. Version 1 is better for enterprises wanting an Ireland/UK-anchored management consultancy for AI digital transformation.
How do Slalom and Version 1 differ in pricing?
Slalom uses retainer, dedicated team pricing with a minimum engagement of $75K. Version 1 uses retainer, dedicated team pricing with a minimum engagement of $60K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Slalom or Version 1?
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 consultancy before shortlisting.
What are the main differences between Slalom and Version 1?
Slalom's primary differentiator is: global ai upskilling program (since 2024) reflects deliberate internal investment in agent-era capability, not just marketing. Version 1's primary differentiator is: dublin headquarters gives it a distinct irish/uk/us multinational footprint among this roster's large consultancies. They also differ in team size (7800-12000 vs 3000+), minimum engagement ($75K vs $60K), and primary industries served (Fintech, Healthcare vs Fintech, Retail).