Tensorway vs EY: full comparison for 2026
Quick verdict
Tensorway (4.5/5) edges ahead of EY (4.2/5) overall. Tensorway is the better choice for COOs and CFOs wanting a vendor-neutral AI plan. 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.
Tensorway vs EY: head-to-head summary
| Criterion | Tensorway | EY |
|---|---|---|
| Founded | 2019 | 1989 |
| HQ | Alicante, Spain | London, UK |
| Team size | 50+ | ~400,000 |
| Rating | 4.5 / 5 | 4.2 / 5 |
| Primary differentiator | Two-interview method per use case, a written drop list, and a roadmap another vendor can implement | AI risk work folded into existing technology risk and controls programs |
| Pricing model | Price agreed up front for each scope; cost depends on use-case count, data complexity, assessment depth, and regulatory scope | Engagement fees per scope; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, GDPR, DORA | EU AI Act, NIST AI RMF, GDPR |
| Industries served | Financial services, Fintech, Insurance, Retail & e-commerce, Legal, Manufacturing | Financial services, Insurance, Public sector, Energy, Consumer |
Tensorway vs EY: overview
Tensorway
Tensorway is a Spanish AI firm founded in 2019 in Alicante, with a team of more than 50 and advisers who come from a software engineering lineage stretching back more than twenty years. Each candidate use case gets two interviews: one with the person who proposed it and one with the person who actually does the work, since their accounts often differ. Then the data behind each case is traced, costed, and classified under the EU AI Act. The output includes run cost at expected volume, a build sequence with cost per stage, and a list of use cases to drop, each with a reason. The roadmap is written so an internal team or another vendor can implement it, and Tensorway will say so when the honest answer is not to build AI at all. Among its anonymized clients is a German enterprise that used its help to organize more than 200 EU policies (per company website; independently unverifiable).
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: Tensorway vs EY
| Capability | Tensorway | 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: Tensorway vs EY
| Framework / platform | Tensorway | EY |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | ✓ |
| DORA | ✓ | N/A |
| NIST AI RMF | ✓ | ✓ |
| ISO/IEC 42001 | ✓ | N/A |
| Azure | N/A | ✓ |
| AWS | N/A | N/A |
| Google Cloud | N/A | N/A |
Pricing comparison: Tensorway vs EY
| Criterion | Tensorway | 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: Tensorway vs EY
| Dimension | Tensorway | EY |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Financial services, Fintech, Insurance | Financial services, Insurance, Public sector |
| Best use cases | Deciding which AI use cases are worth funding, and which to drop., EU AI Act classification of candidate use cases before any build. | Adding AI risk to an existing controls framework., Responsible AI policies for a large insurer. |
| Typical project type | Fixed-scope assessment | Fixed-scope assessment |
Tensorway vs EY: pros and cons
| Tensorway | |
|---|---|
| + | Interviews both the sponsor and the person doing the task, which exposes use cases that only look good on slides |
| + | Delivers a written list of ideas to drop, with reasons, alongside the ones to fund |
| + | Roadmaps are written for any implementer, so the advice isn't a sales funnel |
| + | Prices each stage and the run cost at expected volume |
| + | Covers EU AI Act classification, GDPR automated-decision rules, and DORA for financial firms |
| - | Gives no standard timeline, so a multi-team scope can run longer than a buyer expects |
| - | A bench of 50+ is small next to the Big Four for multi-country governance programs |
| - | Advises on ISO/IEC 42001 and NIST AI RMF but holds no certification itself |
| - | Recognition logos on its site come without detail you can verify |
| 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 Tensorway?
A typical fit: deciding which AI use cases are worth funding, and which to drop.
Two-interview method per use case, a written drop list, and a roadmap another vendor can implement. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Fintech, Insurance, Retail & e-commerce, Legal, Manufacturing.
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: Tensorway vs EY
| Your situation | Recommended choice |
|---|---|
| You want advice with no build contract attached | Tensorway |
| Finance needs run costs before approving anything | Tensorway |
| 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: Tensorway (Not disclosed) vs EY (Not disclosed) |
| You need advisers in many countries at once | EY |
Use case fit: Tensorway vs EY
| Use case | Tensorway fit | EY fit | Winner |
|---|---|---|---|
| Deciding which AI use cases are worth funding, and which to drop. | Strong | Limited | Tensorway |
| EU AI Act classification of candidate use cases before any build. | Strong | Limited | Tensorway |
| Adding AI risk to an existing controls framework. | Limited | Strong | EY |
| Responsible AI policies for a large insurer. | Limited | Strong | EY |
Verdict: Tensorway vs EY
Tensorway (4.5/5) is the stronger overall choice for most AI Advisory projects. Two-interview method per use case, a written drop list, and a roadmap another vendor can implement.
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
Tensorway vs EY FAQ
Is Tensorway better than EY?
Tensorway (4.5/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: interviews both the sponsor and the person doing the task, which exposes use cases that only look good on slides. EY's strongest advantage: ties AI risk to controls frameworks finance teams already use.
How do Tensorway and EY differ in pricing?
Tensorway's pricing: price agreed up front for each scope; cost depends on use-case count, data complexity, assessment depth, and regulatory scope. 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: Tensorway 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 Tensorway and EY?
Tensorway's primary differentiator is: two-interview method per use case, a written drop list, and a roadmap another vendor can implement. EY's primary differentiator is: AI risk work folded into existing technology risk and controls programs. They also differ in team size (50+ vs ~400,000), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Fintech vs Financial services, Insurance).
Verify all details directly with each firm before making a decision.