Top AI Consulting Services

KPMG vs HYS Enterprise: full comparison for 2026

Quick verdict

KPMG (4.1/5) edges ahead of HYS Enterprise (3.9/5) overall. KPMG is the better choice for enterprises wanting named AI service products alongside Big Four advisory. HYS Enterprise is the stronger option for EU clients wanting Netherlands-based AI advisory services with Poland delivery. The right choice depends on your project size, budget, and required tech stack.

KPMG vs HYS Enterprise: head-to-head summary

Criterion KPMG HYS Enterprise
Founded 1987 2007
HQ London, United Kingdom Amsterdam, Netherlands
Team size 251,000-275,000 213
Rating 4.1 / 5 3.9 / 5
Primary differentiator Named AI service products, aIQ and Mystro, rather than purely bespoke advisory work An Amsterdam legal entity with an Eastern European delivery hub for EU-based service contracting
Pricing model Retainer, enterprise contracting Fixed project or dedicated team
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, AWS, Azure Python, AWS, Azure
Industries served Financial services, Healthcare, Manufacturing, Government Fintech, Healthcare, Retail & e-commerce

KPMG vs HYS Enterprise: overview

KPMG

KPMG formed in 1987 from the merger of Peat Marwick International and Klynveld Main Goerdeler, with a lineage back to 1897, and runs today out of London. Headcount estimates land somewhere between roughly 251,875 and 275,288 depending on the reporting period. Its AI service line includes named products, aIQ and Mystro, aimed at AI transformation and digital labor optimization, a more productized service model than most Big Four peers, though the firm hasn't disclosed how much staff sits specifically inside AI.

HYS Enterprise

HYS Enterprise was founded in 2007 and is headquartered in Amsterdam, with its main development hub staffed by engineers across Eastern Europe based in Poland. As of mid-2026 the company reported 213 employees. It runs as an IT consulting and software development firm broadly, with AI advisory delivered as an extension of that general service practice rather than a dedicated unit.

Services and capabilities: KPMG vs HYS Enterprise

Capability KPMG HYS Enterprise
AI strategy consulting
Generative AI
Machine learning
Data engineering
MLOps
Fixed-price projects
Dedicated team model

Tech stack comparison: KPMG vs HYS Enterprise

Framework / platform KPMG HYS Enterprise
Python
AWS
Azure
Google Cloud N/A
Kubernetes N/A
LangChain N/A N/A
PyTorch N/A N/A

Pricing comparison: KPMG vs HYS Enterprise

Criterion KPMG HYS Enterprise
Minimum engagement Not disclosed Not disclosed
Engagement models Retainer, Dedicated team Fixed project, Dedicated team
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: KPMG vs HYS Enterprise

Dimension KPMG HYS Enterprise
Best company size Mid-market to enterprise Startup to mid-market
Best industries Financial services, Healthcare, Manufacturing Fintech, Healthcare, Retail & e-commerce
Best use cases Adopting a named, productized AI service instead of commissioning a fully bespoke build., Running an AI workforce transformation service alongside existing KPMG advisory work. Getting EU-based service contracting terms with Eastern European delivery costs., Running a general IT advisory service that includes an AI strategy component.
Typical project type Retainer Fixed project

KPMG vs HYS Enterprise: pros and cons

KPMG
+ Scale at 251,000-plus people supports the largest enterprise service engagements.
+ Named, productized AI service tools give buyers something concrete to evaluate, not a generic pitch.
+ Nearly 130 years of institutional history dating back to 1897.
+ A London headquarters simplifies EU and UK service contracting.
- Reported headcount swings by roughly 25,000 depending on which source and period you check
- Big Four pricing and minimum engagement sizes rule out most small and mid-size buyers
HYS Enterprise
+ An Amsterdam headquarters simplifies EU-based service contracting and data residency conversations.
+ An Eastern European delivery hub keeps costs lower than a fully Western European team.
+ Nearly two decades of IT advisory service experience.
+ A consistent, precisely reported headcount (213) rather than a wide estimated range.
- AI advisory is delivered as an extension of general IT consulting rather than a dedicated service line
- A smaller team than most enterprise-scale services firms on this list limits very large program capacity

Who should choose KPMG?

A typical fit: adopting a named, productized AI service instead of commissioning a fully bespoke build.

Named AI service products, aIQ and Mystro, rather than purely bespoke advisory work. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Manufacturing, Government.

Who should choose HYS Enterprise?

A typical fit: getting EU-based service contracting terms with Eastern European delivery costs.

An Amsterdam legal entity with an Eastern European delivery hub for EU-based service contracting. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce.

Decision matrix: KPMG vs HYS Enterprise

Your situation Recommended choice
You need full-ownership delivery on a defined project scope HYS Enterprise
You need a large dedicated team for an ongoing programme KPMG
Your budget is at the lower end Compare: KPMG (Not disclosed) vs HYS Enterprise (Not disclosed)
You need specialist depth in a specific vertical KPMG
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build KPMG

Use case fit: KPMG vs HYS Enterprise

Use case KPMG fit HYS Enterprise fit Winner
Adopting a named, productized AI service instead of commissioning a fully bespoke build. Strong Limited KPMG
Running an AI workforce transformation service alongside existing KPMG advisory work. Strong Strong Both equally
Getting EU-based service contracting terms with Eastern European delivery costs. Limited Strong HYS Enterprise
Running a general IT advisory service that includes an AI strategy component. Strong Strong Both equally
Fixed-price project Limited Limited Both equally
Dedicated team model Limited Limited Both equally

Verdict: KPMG vs HYS Enterprise

KPMG (4.1/5) is the stronger overall choice for most AI Consulting projects. Named AI service products, aIQ and Mystro, rather than purely bespoke advisory work.

HYS Enterprise (3.9/5) is worth a look if you need running a general IT advisory service that includes an AI strategy component. If your situation matches that, HYS Enterprise is a competitive option.

Related comparisons

KPMG vs HYS Enterprise FAQ

Is KPMG better than HYS Enterprise?

KPMG (4.1/5) scores higher overall, but "better" depends on your use case. KPMG's strongest advantage: scale at 251,000-plus people supports the largest enterprise service engagements. HYS Enterprise's strongest advantage: an Amsterdam headquarters simplifies EU-based service contracting and data residency conversations.

How do KPMG and HYS Enterprise differ in pricing?

KPMG uses retainer, enterprise contracting pricing. HYS Enterprise uses fixed project or dedicated team pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: KPMG or HYS Enterprise?

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 HYS Enterprise?

KPMG's primary differentiator is: named AI service products, aIQ and Mystro, rather than purely bespoke advisory work. HYS Enterprise's primary differentiator is: an Amsterdam legal entity with an Eastern European delivery hub for EU-based service contracting. They also differ in team size (251,000-275,000 vs 213), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Fintech, Healthcare).

Verify all details directly with each firm before making a decision.