appliedAI vs EY: full comparison for 2026
Quick verdict
appliedAI (4.4/5) edges ahead of EY (4.2/5) overall. appliedAI is the better choice for german industrial firms seeking neutral AI guidance. EY is the stronger option for enterprises building AI risk into existing controls. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
appliedAI vs EY: head-to-head summary
| Criterion | appliedAI | EY |
|---|---|---|
| Founded | 2017 | 1989 |
| HQ | Munich, Germany | London, UK |
| Team size | ~120 | ~400,000 |
| Rating | 4.4 / 5 | 4.2 / 5 |
| Primary differentiator | Advice from a German AI ecosystem with a non-profit institute focused on AI Act practice | AI risk work folded into existing technology risk and controls programs |
| Pricing model | Project and program fees; rates on request | Engagement fees per scope; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, GDPR, ISO/IEC 42001 | EU AI Act, NIST AI RMF, GDPR |
| Industries served | Manufacturing, Automotive, Energy, Financial services, Public sector | Financial services, Insurance, Public sector, Energy, Consumer |
appliedAI vs EY: overview
appliedAI
appliedAI grew out of UnternehmerTUM, the entrepreneurship center linked to the Technical University of Munich, in 2017, and has run as a joint venture with the Innovation Park Artificial Intelligence in Heilbronn since 2022. It has two parts: appliedAI Initiative GmbH, which advises and trains companies, and the non-profit appliedAI Institute for Europe, which publishes on AI regulation and how to put the AI Act into practice. Directory estimates put the company at around 120 people. German industrial firms use it for readiness, governance, and training more than for large builds.
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.
Services and capabilities: appliedAI vs EY
| Capability | appliedAI | EY |
|---|---|---|
| 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: appliedAI vs EY
| Framework / platform | appliedAI | EY |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | ✓ |
| DORA | N/A | N/A |
| NIST AI RMF | N/A | ✓ |
| ISO/IEC 42001 | ✓ | N/A |
| Azure | N/A | ✓ |
| AWS | N/A | N/A |
| Google Cloud | N/A | N/A |
Pricing comparison: appliedAI vs EY
| Criterion | appliedAI | EY |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope assessment, Multi-use-case advisory, Ongoing advisory | Fixed-scope assessment, Multi-use-case advisory, Audit or certification, Delivery team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: appliedAI vs EY
| Dimension | appliedAI | EY |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Manufacturing, Automotive, Energy | Financial services, Insurance, Public sector |
| Best use cases | AI readiness and governance for a German manufacturer., Interpreting AI Act obligations for industrial AI systems. | Adding AI risk to an existing controls framework., Responsible AI policies for a large insurer. |
| Typical project type | Fixed-scope assessment | Fixed-scope assessment |
appliedAI vs EY: pros and cons
| appliedAI | |
|---|---|
| + | No platform or large delivery business to sell, which keeps advice neutral |
| + | Non-profit institute publishes practical guidance on applying the AI Act |
| + | Training programs for staff at many levels |
| + | Close links to German industry and research |
| - | Focused on Germany, with less reach elsewhere |
| - | Joint-venture structure is unusual, so ask which entity you contract with |
| - | Not a delivery partner for large builds |
| 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 |
Who should choose appliedAI?
A typical fit: AI readiness and governance for a German manufacturer.
Advice from a German AI ecosystem with a non-profit institute focused on AI Act practice. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Automotive, Energy, Financial services, Public sector.
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.
Decision matrix: appliedAI vs EY
| Your situation | Recommended choice |
|---|---|
| You want advice with no build contract attached | appliedAI |
| 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: appliedAI (Not disclosed) vs EY (Not disclosed) |
| You need advisers in many countries at once | EY |
Use case fit: appliedAI vs EY
| Use case | appliedAI fit | EY fit | Winner |
|---|---|---|---|
| AI readiness and governance for a German manufacturer. | Strong | Limited | appliedAI |
| Interpreting AI Act obligations for industrial AI systems. | Strong | Limited | appliedAI |
| Adding AI risk to an existing controls framework. | Limited | Strong | EY |
| Responsible AI policies for a large insurer. | Limited | Strong | EY |
Verdict: appliedAI vs EY
appliedAI (4.4/5) is the stronger overall choice for most AI Advisory projects. Advice from a German AI ecosystem with a non-profit institute focused on AI Act practice.
EY (4.2/5) is worth a look if you need responsible AI policies for a large insurer. If your situation matches that, EY is a competitive option.
Related comparisons
appliedAI vs EY FAQ
Is appliedAI better than EY?
appliedAI (4.4/5) scores higher overall, but "better" depends on your use case. appliedAI's strongest advantage: no platform or large delivery business to sell, which keeps advice neutral. EY's strongest advantage: ties AI risk to controls frameworks finance teams already use.
How do appliedAI and EY differ in pricing?
appliedAI's pricing: project and program fees; rates on request. EY's pricing: engagement fees per scope; 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: appliedAI or EY?
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 appliedAI and EY?
appliedAI's primary differentiator is: advice from a German AI ecosystem with a non-profit institute focused on AI Act practice. EY's primary differentiator is: AI risk work folded into existing technology risk and controls programs. They also differ in team size (~120 vs ~400,000), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Manufacturing, Automotive vs Financial services, Insurance).
Verify all details directly with each firm before making a decision.