EY vs Saidot: full comparison for 2026
Quick verdict
EY (4.2/5) edges ahead of Saidot (3.9/5) overall. EY is the better choice for enterprises building AI risk into existing controls. Saidot is the stronger option for teams wanting AI inventory software with setup help. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
EY vs Saidot: head-to-head summary
| Criterion | EY | Saidot |
|---|---|---|
| Founded | 1989 | 2018 |
| HQ | London, UK | Helsinki, Finland |
| Team size | ~400,000 | ~20 |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Primary differentiator | AI risk work folded into existing technology risk and controls programs | Governance software for AI inventories and risk tracking, integrated with Azure AI |
| Pricing model | Engagement fees per scope; rates not published | Platform subscription plus setup services; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, NIST AI RMF, GDPR | EU AI Act, ISO/IEC 42001, Azure |
| Industries served | Financial services, Insurance, Public sector, Energy, Consumer | Public sector, Financial services, Technology, Healthcare |
EY vs Saidot: 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.
Saidot
Saidot was founded in 2018 by Meeri Haataja and is based in the Helsinki area, with a team of roughly 20. It sells an AI governance platform for inventories, risk assessment, and regulatory tracking, plus the advisory help to set it up. A seed round of €1.75 million in 2023 and a 2024 partnership with Microsoft to integrate with Azure AI support it, and the Scottish Government is among its clients. Buyers get software first; the advice comes with it.
Services and capabilities: EY vs Saidot
| Capability | EY | Saidot |
|---|---|---|
| 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 Saidot
| Framework / platform | EY | Saidot |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | N/A |
| DORA | N/A | N/A |
| NIST AI RMF | ✓ | N/A |
| ISO/IEC 42001 | N/A | ✓ |
| Azure | ✓ | ✓ |
| AWS | N/A | N/A |
| Google Cloud | N/A | N/A |
Pricing comparison: EY vs Saidot
| Criterion | EY | Saidot |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope assessment, Multi-use-case advisory, Audit or certification, Delivery team | Ongoing advisory |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EY vs Saidot
| Dimension | EY | Saidot |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial services, Insurance, Public sector | Public sector, Financial services, Technology |
| Best use cases | Adding AI risk to an existing controls framework., Responsible AI policies for a large insurer. | Building and maintaining an AI inventory., Tracking AI Act obligations per system. |
| Typical project type | Fixed-scope assessment | Ongoing advisory |
EY vs Saidot: 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 |
| Saidot | |
|---|---|
| + | Software keeps the AI inventory current after the consultants leave |
| + | Microsoft integration for Azure AI users |
| + | Founder chairs responsible-AI work at IEEE |
| - | Very small team |
| - | Advice comes bundled with its own software |
| - | Early-stage funding |
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 Saidot?
A typical fit: building and maintaining an AI inventory.
Governance software for AI inventories and risk tracking, integrated with Azure AI. Minimum engagement is not publicly disclosed. Works best with clients in Public sector, Financial services, Technology, Healthcare.
Decision matrix: EY vs Saidot
| Your situation | Recommended choice |
|---|---|
| You want advice with no build contract attached | Saidot |
| 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 | EY |
| Your budget is at the lower end | Compare: EY (Not disclosed) vs Saidot (Not disclosed) |
| You need advisers in many countries at once | EY |
Use case fit: EY vs Saidot
| Use case | EY fit | Saidot fit | Winner |
|---|---|---|---|
| Adding AI risk to an existing controls framework. | Strong | Limited | EY |
| Responsible AI policies for a large insurer. | Strong | Limited | EY |
| Building and maintaining an AI inventory. | Limited | Strong | Saidot |
| Tracking AI Act obligations per system. | Limited | Strong | Saidot |
Verdict: EY vs Saidot
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.
Saidot (3.9/5) is worth a look if you need tracking AI Act obligations per system. If your situation matches that, Saidot is a competitive option.
Related comparisons
EY vs Saidot FAQ
Is EY better than Saidot?
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. Saidot's strongest advantage: software keeps the AI inventory current after the consultants leave.
How do EY and Saidot differ in pricing?
EY's pricing: engagement fees per scope; rates not published. Saidot's pricing: platform subscription plus setup services; rates on request. 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 Saidot?
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 Saidot?
EY's primary differentiator is: AI risk work folded into existing technology risk and controls programs. Saidot's primary differentiator is: governance software for AI inventories and risk tracking, integrated with Azure AI. They also differ in team size (~400,000 vs ~20), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Insurance vs Public sector, Financial services).
Verify all details directly with each firm before making a decision.