EY vs BABL AI: full comparison for 2026
Quick verdict
EY (4.2/5) edges ahead of BABL AI (4.1/5) overall. EY is the better choice for enterprises building AI risk into existing controls. BABL AI is the stronger option for companies needing an independent third-party AI audit. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
EY vs BABL AI: head-to-head summary
| Criterion | EY | BABL AI |
|---|---|---|
| Founded | 1989 | 2018 |
| HQ | London, UK | Iowa City, USA |
| Team size | ~400,000 | 1–50 |
| Rating | 4.2 / 5 | 4.1 / 5 |
| Primary differentiator | AI risk work folded into existing technology risk and controls programs | Criteria-based third-party AI audits, separate from any design or build work |
| Pricing model | Engagement fees per scope; rates not published | Audit fees per system; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, NIST AI RMF, GDPR | EU AI Act, NIST AI RMF, NYC Local Law 144 |
| Industries served | Financial services, Insurance, Public sector, Energy, Consumer | Human resources tech, Financial services, Healthcare, Technology |
EY vs BABL AI: 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.
BABL AI
BABL AI was founded in 2018 in Iowa City by astrophysicist turned auditor Shea Brown, a founding member of the International Association of Algorithmic Auditors. It runs independent, criteria-based audits and certifications, starting with automated hiring tools and now covering EU AI Act risk management. It also trains auditors through its own courses. The firm is small, and its strength is a clean separation between whoever built the system and whoever checks it.
Services and capabilities: EY vs BABL AI
| Capability | EY | BABL AI |
|---|---|---|
| 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 BABL AI
| Framework / platform | EY | BABL AI |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | N/A |
| DORA | N/A | N/A |
| NIST AI RMF | ✓ | ✓ |
| ISO/IEC 42001 | N/A | N/A |
| Azure | ✓ | N/A |
| AWS | N/A | N/A |
| Google Cloud | N/A | N/A |
Pricing comparison: EY vs BABL AI
| Criterion | EY | BABL AI |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope assessment, Multi-use-case advisory, Audit or certification, Delivery team | Audit or certification, Fixed-scope assessment |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EY vs BABL AI
| Dimension | EY | BABL AI |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial services, Insurance, Public sector | Human resources tech, Financial services, Healthcare |
| Best use cases | Adding AI risk to an existing controls framework., Responsible AI policies for a large insurer. | Bias audits of hiring and HR tools., Third-party checks of AI Act risk management. |
| Typical project type | Fixed-scope assessment | Audit or certification |
EY vs BABL AI: 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 |
| BABL AI | |
|---|---|
| + | Audits only, with no system design to protect |
| + | Experience with bias audits of hiring tools |
| + | Trains and certifies auditors |
| - | Small firm with limited capacity |
| - | US-based, with less European presence |
| - | Doesn't help pick or plan use cases |
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 BABL AI?
A typical fit: bias audits of hiring and HR tools.
Criteria-based third-party AI audits, separate from any design or build work. Minimum engagement is not publicly disclosed. Works best with clients in Human resources tech, Financial services, Healthcare, Technology.
Decision matrix: EY vs BABL AI
| Your situation | Recommended choice |
|---|---|
| You want advice with no build contract attached | BABL AI |
| 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 | Both offer audit or assurance |
| You want the same firm to build what it recommends | EY |
| Your budget is at the lower end | Compare: EY (Not disclosed) vs BABL AI (Not disclosed) |
| You need advisers in many countries at once | EY |
Use case fit: EY vs BABL AI
| Use case | EY fit | BABL AI fit | Winner |
|---|---|---|---|
| Adding AI risk to an existing controls framework. | Strong | Limited | EY |
| Responsible AI policies for a large insurer. | Strong | Limited | EY |
| Bias audits of hiring and HR tools. | Limited | Strong | BABL AI |
| Third-party checks of AI Act risk management. | Limited | Strong | BABL AI |
Verdict: EY vs BABL AI
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.
BABL AI (4.1/5) is worth a look if you need third-party checks of AI Act risk management. If your situation matches that, BABL AI is a competitive option.
Related comparisons
EY vs BABL AI FAQ
Is EY better than BABL AI?
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. BABL AI's strongest advantage: audits only, with no system design to protect.
How do EY and BABL AI differ in pricing?
EY's pricing: engagement fees per scope; rates not published. BABL AI's pricing: audit fees per system; 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 BABL AI?
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 BABL AI?
EY's primary differentiator is: AI risk work folded into existing technology risk and controls programs. BABL AI's primary differentiator is: criteria-based third-party AI audits, separate from any design or build work. They also differ in team size (~400,000 vs 1–50), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Insurance vs Human resources tech, Financial services).
Verify all details directly with each firm before making a decision.