Top AI Strategy Consultants

Slalom vs Launch Consulting: full comparison for 2026

Quick verdict

Slalom (4.1/5) edges ahead of Launch Consulting (3.9/5) overall. Slalom is the better choice for north American firms wanting local, on-site AI consultants. Launch Consulting is the stronger option for microsoft-centric companies on the US West Coast. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.

Slalom vs Launch Consulting: head-to-head summary

Criterion Slalom Launch Consulting
Founded 2001 2005
HQ Seattle, USA Bellevue, USA
Team size 10,000+ 500–1,000
Rating 4.1 / 5 3.9 / 5
Primary differentiator Local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them AI-first operating-model work with Microsoft-based builds and nearshore delivery
Pricing model Time & materials and fixed-fee projects; rates not published Consulting fees; rates not published
Min. engagement Not disclosed Not disclosed
Primary tech stack AWS, Azure, Google Cloud Azure, Microsoft Copilot, Power BI
Industries served Financial services, Healthcare, Retail, Manufacturing, Public sector, Technology Healthcare, Retail, Technology, Financial services

Slalom vs Launch Consulting: overview

Slalom

Slalom was founded in Seattle in 2001 and has more than 10,000 employees in over 50 offices across the Americas, Europe, and Asia. In August 2026 it hired a former Accenture executive as its chief AI officer. Its AI strategy practice covers operating models, governance, and data strategy, delivered by local teams who work on-site with clients. Partnerships with Microsoft, AWS, Google Cloud, Snowflake, and Salesforce mean a Slalom roadmap usually lands on one of those platforms.

Launch Consulting

Launch Consulting Group was founded in 2005 and is based in Bellevue, Washington, with offices in Buenos Aires and Hyderabad. The Planet Group, owned by Odyssey Investment Partners, bought it in 2022 and later merged its Strive and Future State consultancies under the Launch brand. A managing director of AI, appointed in 2023, leads its "AI first" practice, which covers strategy, data work, and Microsoft-based builds. Its strongest base is Fortune 1000 clients in healthcare, retail, and technology.

Services and capabilities: Slalom vs Launch Consulting

Capability Slalom Launch Consulting
Readiness assessment ✗ ✗
Use-case prioritization ✗ ✗
TCO / ROI modeling ✗ ✗
AI governance & EU AI Act ✓ ✗
Build vs. buy advice ✗ ✗
Audit of live AI programs ✗ ✗
Change management ✓ ✓
Can build what it recommends ✓ ✓

Frameworks and platforms: Slalom vs Launch Consulting

Framework / platform Slalom Launch Consulting
EU AI Act N/A N/A
GDPR N/A N/A
NIST AI RMF N/A N/A
AWS ✓ N/A
Azure ✓ ✓
Google Cloud ✓ N/A
Databricks ✓ ✓
Snowflake ✓ N/A

Pricing comparison: Slalom vs Launch Consulting

Criterion Slalom Launch Consulting
Minimum engagement Not disclosed Not disclosed
Engagement models Strategy & roadmap engagement, Delivery team, Ongoing advisory Strategy & roadmap engagement, Delivery team
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Slalom vs Launch Consulting

Dimension Slalom Launch Consulting
Best company size Enterprise Startup to mid-market
Best industries Financial services, Healthcare, Retail Healthcare, Retail, Technology
Best use cases AI and data strategy for a North American mid-size or large company., Governance and operating-model design for a first wave of AI projects. AI-first operating-model plans for Microsoft-centered companies., Copilot and Azure AI rollouts after a strategy phase.
Typical project type Strategy & roadmap engagement Strategy & roadmap engagement

Slalom vs Launch Consulting: pros and cons

Slalom
+ Consultants live in the client's city, which makes workshops and on-site discovery easy
+ Covers operating model and governance as well as technology
+ Strong standing with Microsoft, AWS, Google Cloud, and Snowflake
+ Can staff the build after the strategy without changing firms
- Roadmaps tend to land on its partner platforms
- New AI leadership (August 2026) means the practice direction is still settling
- Less depth on EU regulation than European consultancies
Launch Consulting
+ Focus on operating-model change, beyond tools alone
+ Nearshore delivery from Buenos Aires keeps build costs down
+ Strong Microsoft stack experience for Copilot and Azure programs
+ Years of data platform work for Fortune 1000 clients
- Private equity owned since 2022, with three firms merged under one brand
- Mostly built around Microsoft technology
- Smaller international footprint than the global firms

Who should choose Slalom?

A typical fit: AI and data strategy for a North American mid-size or large company.

Local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail, Manufacturing, Public sector, Technology.

Who should choose Launch Consulting?

A typical fit: AI-first operating-model plans for Microsoft-centered companies.

AI-first operating-model work with Microsoft-based builds and nearshore delivery. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Retail, Technology, Financial services.

Decision matrix: Slalom vs Launch Consulting

Your situation Recommended choice
Your board wants a costed, sequenced roadmap within a quarter Neither lists cost modeling; ask for a sample roadmap
You already run AI that is missing its targets Neither offers a separate audit; ask for a scoped review
Regulators will ask how each AI system is governed Slalom
AI will change roles and processes for many staff Both run change management
You want the strategy firm to build the result too Both can deliver after the strategy
Your budget is at the lower end Compare: Slalom (Not disclosed) vs Launch Consulting (Not disclosed)
You need a large team across many countries Slalom

Use case fit: Slalom vs Launch Consulting

Use case Slalom fit Launch Consulting fit Winner
AI and data strategy for a North American mid-size or large company. Strong Limited Slalom
Governance and operating-model design for a first wave of AI projects. Strong Limited Slalom
AI-first operating-model plans for Microsoft-centered companies. Limited Strong Launch Consulting
Copilot and Azure AI rollouts after a strategy phase. Limited Strong Launch Consulting

Verdict: Slalom vs Launch Consulting

Slalom (4.1/5) is the stronger overall choice for most AI Strategy Consulting projects. Local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them.

Launch Consulting (3.9/5) is worth a look if you need copilot and Azure AI rollouts after a strategy phase. If your situation matches that, Launch Consulting is a competitive option.

Related comparisons

Slalom vs Launch Consulting FAQ

Is Slalom better than Launch Consulting?

Slalom (4.1/5) scores higher overall, but "better" depends on your use case. Slalom's strongest advantage: consultants live in the client's city, which makes workshops and on-site discovery easy. Launch Consulting's strongest advantage: focus on operating-model change, beyond tools alone.

How do Slalom and Launch Consulting differ in pricing?

Slalom's pricing: time & materials and fixed-fee projects; rates not published. Launch Consulting'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: Slalom or Launch Consulting?

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 consultant before shortlisting.

What are the main differences between Slalom and Launch Consulting?

Slalom's primary differentiator is: local-office model that puts strategy consultants on-site, with deep cloud partnerships behind them. Launch Consulting's primary differentiator is: AI-first operating-model work with Microsoft-based builds and nearshore delivery. They also differ in team size (10,000+ vs 500–1,000), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Healthcare, Retail).

Verify all details directly with each consultant before making a decision.