KPMG vs appliedAI: full comparison for 2026
Quick verdict
KPMG (4.6/5) edges ahead of appliedAI (4.4/5) overall. KPMG is the better choice for regulated firms needing audit-grade AI governance. appliedAI is the stronger option for german industrial firms seeking neutral AI guidance. The right choice depends on how independent you need the advice to be, your regulatory exposure, and your budget.
KPMG vs appliedAI: head-to-head summary
| Criterion | KPMG | appliedAI |
|---|---|---|
| Founded | 1987 | 2017 |
| HQ | London, UK (KPMG International) | Munich, Germany |
| Team size | 275,000+ | ~120 |
| Rating | 4.6 / 5 | 4.4 / 5 |
| Primary differentiator | Governance and assurance depth, backed by its own ISO/IEC 42001-certified AI management system | Advice from a German AI ecosystem with a non-profit institute focused on AI Act practice |
| Pricing model | Engagement fees per scope; rates not published | Project and program fees; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | EU AI Act, ISO/IEC 42001, NIST AI RMF | EU AI Act, GDPR, ISO/IEC 42001 |
| Industries served | Banking, Insurance, Public sector, Healthcare, Energy, Manufacturing | Manufacturing, Automotive, Energy, Financial services, Public sector |
KPMG vs appliedAI: 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.
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.
Services and capabilities: KPMG vs appliedAI
| Capability | KPMG | appliedAI |
|---|---|---|
| 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 appliedAI
| Framework / platform | KPMG | appliedAI |
|---|---|---|
| EU AI Act | ✓ | ✓ |
| GDPR | ✓ | ✓ |
| DORA | ✓ | N/A |
| NIST AI RMF | ✓ | N/A |
| ISO/IEC 42001 | ✓ | ✓ |
| Azure | ✓ | N/A |
| AWS | N/A | N/A |
| Google Cloud | N/A | N/A |
Pricing comparison: KPMG vs appliedAI
| Criterion | KPMG | appliedAI |
|---|---|---|
| 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 appliedAI
| Dimension | KPMG | appliedAI |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Banking, Insurance, Public sector | Manufacturing, Automotive, Energy |
| 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. | AI readiness and governance for a German manufacturer., Interpreting AI Act obligations for industrial AI systems. |
| Typical project type | Fixed-scope assessment | Fixed-scope assessment |
KPMG vs appliedAI: 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 |
| 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 |
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 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.
Decision matrix: KPMG vs appliedAI
| Your situation | Recommended choice |
|---|---|
| You want advice with no build contract attached | appliedAI |
| Finance needs run costs before approving anything | KPMG |
| 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 | KPMG |
| Your budget is at the lower end | Compare: KPMG (Not disclosed) vs appliedAI (Not disclosed) |
| You need advisers in many countries at once | KPMG |
Use case fit: KPMG vs appliedAI
| Use case | KPMG fit | appliedAI 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 |
| AI readiness and governance for a German manufacturer. | Limited | Strong | appliedAI |
| Interpreting AI Act obligations for industrial AI systems. | Limited | Strong | appliedAI |
Verdict: KPMG vs appliedAI
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.
appliedAI (4.4/5) is worth a look if you need interpreting AI Act obligations for industrial AI systems. If your situation matches that, appliedAI is a competitive option.
Related comparisons
KPMG vs appliedAI FAQ
Is KPMG better than appliedAI?
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. appliedAI's strongest advantage: no platform or large delivery business to sell, which keeps advice neutral.
How do KPMG and appliedAI differ in pricing?
KPMG's pricing: engagement fees per scope; rates not published. appliedAI's pricing: project and program fees; 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: KPMG or appliedAI?
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 appliedAI?
KPMG's primary differentiator is: governance and assurance depth, backed by its own ISO/IEC 42001-certified AI management system. appliedAI's primary differentiator is: advice from a German AI ecosystem with a non-profit institute focused on AI Act practice. They also differ in team size (275,000+ vs ~120), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Banking, Insurance vs Manufacturing, Automotive).
Verify all details directly with each firm before making a decision.