Best AI Advisory Services

EY vs Knowit: full comparison for 2026

Quick verdict

EY (4.2/5) edges ahead of Knowit (3.9/5) overall. EY is the better choice for enterprises building AI risk into existing controls. Knowit is the stronger option for nordic public authorities wanting a local partner. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.

EY vs Knowit: head-to-head summary

Criterion EY Knowit
Founded 1989 1990
HQ London, UK Stockholm, Sweden
Team size ~400,000 ~3,600
Rating 4.2 / 5 3.9 / 5
Primary differentiator AI risk work folded into existing technology risk and controls programs Nordic public-sector reach with data governance and AI under one roof
Pricing model Engagement fees per scope; rates not published Consulting and framework-agreement rates; not published
Min. engagement Not disclosed Not disclosed
Primary tech stack EU AI Act, NIST AI RMF, GDPR Azure, AWS, EU AI Act
Industries served Financial services, Insurance, Public sector, Energy, Consumer Public sector, Energy, Retail, Manufacturing, Financial services

EY vs Knowit: overview

EY

EY was formed by the 1989 merger of Ernst & Whinney and Arthur Young and employs about 400,000 people. Its advisory teams cover responsible AI, AI risk, and compliance programs, and its technology risk leaders have spoken publicly about how far real AI assurance still has to go. That candor is useful for buyers who want an honest view of what can be certified today. Like the rest of the Big Four, it sells implementation as well.

Knowit

Knowit was established in 1990, has been listed in Stockholm since 1997, and employs about 3,600 people, mostly in Sweden, Norway, Denmark, and Finland. Its AI work spans strategy, data governance, and engineering, with a large public-sector client base. Revenue fell in 2024 and 2025 and the company has focused on efficiency, which buyers may notice in staffing. It is a familiar choice for Nordic authorities that want a local partner.

Services and capabilities: EY vs Knowit

Capability EY Knowit
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: EY vs Knowit

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

Pricing comparison: EY vs Knowit

Criterion EY Knowit
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed-scope assessment, Multi-use-case advisory, Audit or certification, Delivery team Multi-use-case advisory, Delivery team
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: EY vs Knowit

Dimension EY Knowit
Best company size Enterprise Mid-market to enterprise
Best industries Financial services, Insurance, Public sector Public sector, Energy, Retail
Best use cases Adding AI risk to an existing controls framework., Responsible AI policies for a large insurer. AI planning for a Nordic public authority., Data governance before AI projects.
Typical project type Fixed-scope assessment Multi-use-case advisory

EY vs Knowit: pros and cons

EY
+ Ties AI risk to controls frameworks finance teams already use
+ Realistic public view on the limits of AI assurance
+ Large global bench
- Premium fees
- Sells delivery alongside advice
- Audit-client independence rules apply
Knowit
+ Strong presence across all four Nordic countries
+ On many public-sector framework agreements
+ Publicly listed, so finances are disclosed
- Sales fell in 2024 and 2025, and cost cutting followed
- AI is one practice among many
- Advice tends to lead into its own delivery

Who should choose EY?

A typical fit: adding AI risk to an existing controls framework.

AI risk work folded into existing technology risk and controls programs. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Insurance, Public sector, Energy, Consumer.

Who should choose Knowit?

A typical fit: AI planning for a Nordic public authority.

Nordic public-sector reach with data governance and AI under one roof. Minimum engagement is not publicly disclosed. Works best with clients in Public sector, Energy, Retail, Manufacturing, Financial services.

Decision matrix: EY vs Knowit

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 EY
You want the same firm to build what it recommends Both can deliver
Your budget is at the lower end Compare: EY (Not disclosed) vs Knowit (Not disclosed)
You need advisers in many countries at once EY

Use case fit: EY vs Knowit

Use case EY fit Knowit fit Winner
Adding AI risk to an existing controls framework. Strong Limited EY
Responsible AI policies for a large insurer. Strong Limited EY
AI planning for a Nordic public authority. Limited Strong Knowit
Data governance before AI projects. Limited Strong Knowit

Verdict: EY vs Knowit

EY (4.2/5) is the stronger overall choice for most AI Advisory projects. AI risk work folded into existing technology risk and controls programs.

Knowit (3.9/5) is worth a look if you need data governance before AI projects. If your situation matches that, Knowit is a competitive option.

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EY vs Knowit FAQ

Is EY better than Knowit?

EY (4.2/5) scores higher overall, but "better" depends on your use case. EY's strongest advantage: ties AI risk to controls frameworks finance teams already use. Knowit's strongest advantage: strong presence across all four Nordic countries.

How do EY and Knowit differ in pricing?

EY's pricing: engagement fees per scope; rates not published. Knowit's pricing: consulting and framework-agreement 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: EY or Knowit?

EY 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 EY and Knowit?

EY's primary differentiator is: AI risk work folded into existing technology risk and controls programs. Knowit's primary differentiator is: nordic public-sector reach with data governance and AI under one roof. They also differ in team size (~400,000 vs ~3,600), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Insurance vs Public sector, Energy).

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