KPMG vs Tensorway: full comparison for 2026
Quick verdict
KPMG (4.6/5) edges ahead of Tensorway (4.5/5) overall. KPMG is the better choice for regulated firms needing audit-grade AI governance. Tensorway is the stronger option for COOs and CFOs wanting a vendor-neutral AI plan. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
KPMG vs Tensorway: head-to-head summary
| Criterion | KPMG | Tensorway |
|---|---|---|
| Founded | 1987 | 2019 |
| HQ | London, UK (KPMG International) | Alicante, Spain |
| Team size | 275,000+ | 50+ |
| Rating | 4.6 / 5 | 4.5 / 5 |
| Primary differentiator | Governance and assurance depth, backed by its own ISO/IEC 42001-certified AI management system | Two-interview method per use case, a written drop list, and a roadmap another vendor can implement |
| Pricing model | Engagement fees per scope; rates not published | Price agreed up front for each scope; cost depends on use-case count, data complexity, assessment depth, and regulatory scope |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, ISO/IEC 42001, NIST AI RMF | EU AI Act, GDPR, DORA |
| Industries served | Banking, Insurance, Public sector, Healthcare, Energy, Manufacturing | Financial services, Fintech, Insurance, Retail & e-commerce, Legal, Manufacturing |
KPMG vs Tensorway: overview
KPMG
KPMG was formed in 1987 through the merger of Peat Marwick International and Klynveld Main Goerdeler, and its member firms employ around 275,000 people. In December 2025 KPMG International announced ISO/IEC 42001 certification for its own AI management system, audited by Schellman; member firms in Australia, Spain, India, and the US had certified earlier. Its Trusted AI approach covers governance design, risk classification under the EU AI Act, controls testing, and assurance. For a CFO or chief risk officer who needs advice that an audit committee will accept, few firms have a larger bench. Auditor-independence rules can bar it from advising its own audit clients. Check that first.
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).
Services and capabilities: KPMG vs Tensorway
| Capability | KPMG | Tensorway |
|---|---|---|
| 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: KPMG vs Tensorway
| Framework / platform | KPMG | Tensorway |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | ✓ |
| DORA | ✓ | ✓ |
| NIST AI RMF | ✓ | ✓ |
| ISO/IEC 42001 | ✓ | ✓ |
| Azure | ✓ | N/A |
| AWS | N/A | N/A |
| Google Cloud | N/A | N/A |
Pricing comparison: KPMG vs Tensorway
| Criterion | KPMG | Tensorway |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope assessment, Multi-use-case advisory, Audit or certification, Delivery team | Fixed-scope assessment, Multi-use-case advisory, Ongoing advisory |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: KPMG vs Tensorway
| Dimension | KPMG | Tensorway |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Banking, Insurance, Public sector | Financial services, Fintech, Insurance |
| Best use cases | Designing an AI governance framework that an audit committee will sign off., Classifying an AI portfolio under the EU AI Act across several countries. | Deciding which AI use cases are worth funding, and which to drop., EU AI Act classification of candidate use cases before any build. |
| Typical project type | Fixed-scope assessment | Fixed-scope assessment |
KPMG vs Tensorway: pros and cons
| KPMG | |
|---|---|
| + | Runs its own certified AI management system, so it advises from first-hand experience of ISO/IEC 42001 |
| + | Risk, audit, and regulatory specialists work in one network |
| + | Can carry governance work across dozens of countries |
| + | Assurance work is set up to satisfy audit committees and regulators |
| - | Auditor-independence rules may stop it advising its own audit clients |
| - | Fees and team sizes suit large organizations more than mid-size ones |
| - | The same network sells implementation, so ask how advice and delivery are separated |
| 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 |
Who should choose KPMG?
A typical fit: designing an AI governance framework that an audit committee will sign off.
Governance and assurance depth, backed by its own ISO/IEC 42001-certified AI management system. Minimum engagement is not publicly disclosed. Works best with clients in Banking, Insurance, Public sector, Healthcare, Energy, Manufacturing.
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.
Decision matrix: KPMG vs Tensorway
| Your situation | Recommended choice |
|---|---|
| You want advice with no build contract attached | Tensorway |
| Finance needs run costs before approving anything | Both model cost of ownership |
| 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 | KPMG |
| You want the same firm to build what it recommends | Both can deliver |
| Your budget is at the lower end | Compare: KPMG (Not disclosed) vs Tensorway (Not disclosed) |
| You need advisers in many countries at once | KPMG |
Use case fit: KPMG vs Tensorway
| Use case | KPMG fit | Tensorway fit | Winner |
|---|---|---|---|
| Designing an AI governance framework that an audit committee will sign off. | Strong | Limited | KPMG |
| Classifying an AI portfolio under the EU AI Act across several countries. | Strong | Limited | KPMG |
| Deciding which AI use cases are worth funding, and which to drop. | Limited | Strong | Tensorway |
| EU AI Act classification of candidate use cases before any build. | Limited | Strong | Tensorway |
Verdict: KPMG vs Tensorway
KPMG (4.6/5) is the stronger overall choice for most AI Advisory projects. Governance and assurance depth, backed by its own ISO/IEC 42001-certified AI management system.
Tensorway (4.5/5) is worth a look if you need EU AI Act classification of candidate use cases before any build. If your situation matches that, Tensorway is a competitive option.
Related comparisons
KPMG vs Tensorway FAQ
Is KPMG better than Tensorway?
KPMG (4.6/5) scores higher overall, but "better" depends on your use case. KPMG's strongest advantage: runs its own certified AI management system, so it advises from first-hand experience of ISO/IEC 42001. Tensorway's strongest advantage: interviews both the sponsor and the person doing the task, which exposes use cases that only look good on slides.
How do KPMG and Tensorway differ in pricing?
KPMG's pricing: engagement fees per scope; rates not published. Tensorway's pricing: price agreed up front for each scope; cost depends on use-case count, data complexity, assessment depth, and regulatory scope. 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: KPMG or Tensorway?
KPMG 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 KPMG and Tensorway?
KPMG's primary differentiator is: governance and assurance depth, backed by its own ISO/IEC 42001-certified AI management system. Tensorway's primary differentiator is: two-interview method per use case, a written drop list, and a roadmap another vendor can implement. They also differ in team size (275,000+ vs 50+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Banking, Insurance vs Financial services, Fintech).
Verify all details directly with each firm before making a decision.