Best AI Advisory Services

Slalom vs RTS Labs: full comparison for 2026

Quick verdict

Slalom (3.8/5) edges ahead of RTS Labs (3.7/5) overall. Slalom is the better choice for north American firms wanting local consultants. RTS Labs is the stronger option for small US firms testing one idea cheaply. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.

Slalom vs RTS Labs: head-to-head summary

Criterion Slalom RTS Labs
Founded 2001 2010
HQ Seattle, USA Glen Allen, USA
Team size 10,000+ 100+
Rating 3.8 / 5 3.7 / 5
Primary differentiator Local-office consultants for AI governance and operating models The cheapest entry point here, with feasibility tests in place of strategy decks
Pricing model Consulting fees; rates not published Fixed-scope feasibility work; $25–$49/hr (Clutch band)
Min. engagement Not disclosed $5,000+ (Clutch)
Primary tech stack AWS, Azure, Google Cloud AWS, Azure, Python
Industries served Financial services, Healthcare, Retail, Public sector Logistics, Financial services, Healthcare, Manufacturing

Slalom vs RTS Labs: overview

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.

RTS Labs

RTS Labs, near Richmond, Virginia, says it has 100+ US-based staff (per company website; independently unverifiable); it gives 2010 as its founding year while Clutch lists 2012. Its advice comes as feasibility studies and proofs of concept with a return-on-investment check, instead of roadmaps. Clutch lists $25–$49 an hour and a $5,000+ minimum, the cheapest way on this page to test whether one idea works.

Services and capabilities: Slalom vs RTS Labs

Capability Slalom RTS Labs
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: Slalom vs RTS Labs

Framework / platform Slalom RTS Labs
EU AI Act N/A N/A
GDPR N/A N/A
DORA N/A N/A
NIST AI RMF N/A N/A
ISO/IEC 42001 N/A N/A
Azure ✓ ✓
AWS ✓ ✓
Google Cloud ✓ N/A

Pricing comparison: Slalom vs RTS Labs

Criterion Slalom RTS Labs
Minimum engagement Not disclosed $5,000+ (Clutch)
Engagement models Multi-use-case advisory, Delivery team Fixed-scope assessment, Delivery team
Rate transparency Not public Minimum disclosed
Price tier Mid-market Accessible

Target audience comparison: Slalom vs RTS Labs

Dimension Slalom RTS Labs
Best company size Enterprise Startup to mid-market
Best industries Financial services, Healthcare, Retail Logistics, Financial services, Healthcare
Best use cases AI governance for a North American company., Operating-model changes for AI. Testing one AI idea cheaply., Return-on-investment check on a vendor proposal.
Typical project type Multi-use-case advisory Fixed-scope assessment

Slalom vs RTS Labs: pros and cons

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
RTS Labs
+ A $5,000+ Clutch minimum is the lowest here
+ Tests ideas on real data
+ Return-on-investment check included
- No portfolio-level planning
- No EU regulatory work
- Founding year and headcount vary between sources

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.

Who should choose RTS Labs?

A typical fit: testing one AI idea cheaply.

The cheapest entry point here, with feasibility tests in place of strategy decks. Minimum engagement starts at $5,000+ (Clutch). Works best with clients in Logistics, Financial services, Healthcare, Manufacturing.

Decision matrix: Slalom vs RTS Labs

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 RTS Labs
Some of your use cases may be high-risk under the EU AI Act Slalom
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: Slalom (Not disclosed) vs RTS Labs ($5,000+ (Clutch))
You need advisers in many countries at once Slalom

Use case fit: Slalom vs RTS Labs

Use case Slalom fit RTS Labs fit Winner
AI governance for a North American company. Strong Limited Slalom
Operating-model changes for AI. Strong Limited Slalom
Testing one AI idea cheaply. Limited Strong RTS Labs
Return-on-investment check on a vendor proposal. Limited Strong RTS Labs

Verdict: Slalom vs RTS Labs

Slalom (3.8/5) is the stronger overall choice for most AI Advisory projects. Local-office consultants for AI governance and operating models.

RTS Labs (3.7/5) is worth a look if you need return-on-investment check on a vendor proposal. If your situation matches that, RTS Labs is a competitive option.

Related comparisons

Slalom vs RTS Labs FAQ

Is Slalom better than RTS Labs?

Slalom (3.8/5) scores higher overall, but "better" depends on your use case. Slalom's strongest advantage: local teams for on-site work. RTS Labs's strongest advantage: a $5,000+ Clutch minimum is the lowest here.

How do Slalom and RTS Labs differ in pricing?

Slalom's pricing: consulting fees; rates not published. RTS Labs's pricing: fixed-scope feasibility work; $25–$49/hr (Clutch band) with a minimum engagement of $5,000+ (Clutch). 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 RTS Labs?

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 Slalom and RTS Labs?

Slalom's primary differentiator is: local-office consultants for AI governance and operating models. RTS Labs's primary differentiator is: the cheapest entry point here, with feasibility tests in place of strategy decks. They also differ in team size (10,000+ vs 100+), minimum engagement (Not disclosed vs $5,000+ (Clutch)), and primary industries served (Financial services, Healthcare vs Logistics, Financial services).

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