Top AI Consulting Agencies

Capgemini Invent vs Andersen: full comparison for 2026

Quick verdict

Capgemini Invent (4.2/5) edges ahead of Andersen (4.0/5) overall. Capgemini Invent is the better choice for european enterprises wanting AI strategy from a Paris-based agency. Andersen is the stronger option for enterprises wanting AI advisory paired with broad platform engineering. The right choice depends on your project size, budget, and required tech stack.

Capgemini Invent vs Andersen: head-to-head summary

Criterion Capgemini Invent Andersen
Founded 2018 2007
HQ Paris, France Warsaw, Poland
Team size 17,000+ 3,500+
Rating 4.2 / 5 4.0 / 5
Primary differentiator A 17,000-plus person strategy and design agency backed by the wider Capgemini Group 3,500-plus specialists across 20 global offices with a named AI advisory practice
Pricing model Retainer, enterprise contracting Dedicated team or retainer
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, AWS, Azure Python, .NET, Java
Industries served Financial services, Manufacturing, Retail & e-commerce, Automotive Financial services, Healthcare, Logistics, Automotive

Capgemini Invent vs Andersen: overview

Capgemini Invent

Capgemini Invent, the digital innovation, consulting, and transformation agency of the wider Capgemini Group, launched in 2018 out of Paris. Reported staff counts vary between roughly 17,000 and 18,000-plus across six continents. It pairs strategy consulting with data science and creative design under one brand, and treats AI work as a component of a larger digital transformation practice rather than a standalone specialty.

Andersen

Andersen was founded in 2007 and is headquartered in Warsaw, Poland, running more than 3,500 specialists across 20 office locations and 16 development centers globally. Its named AI and data practice spans AI advisory, machine learning, data engineering, and robotic process integration, layered on top of a broader stack covering .NET, Java, Python, PHP, and Go. Client industries include financial services, healthcare, logistics, automotive, and media.

Services and capabilities: Capgemini Invent vs Andersen

Capability Capgemini Invent Andersen
AI strategy consulting
Generative AI
Machine learning
Data engineering
MLOps
Fixed-price projects
Dedicated team model

Tech stack comparison: Capgemini Invent vs Andersen

Framework / platform Capgemini Invent Andersen
Python
AWS
Azure
Google Cloud N/A
Kubernetes N/A
LangChain N/A N/A
PyTorch N/A N/A

Pricing comparison: Capgemini Invent vs Andersen

Criterion Capgemini Invent Andersen
Minimum engagement Not disclosed Not disclosed
Engagement models Retainer, Dedicated team Dedicated team, Retainer
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Capgemini Invent vs Andersen

Dimension Capgemini Invent Andersen
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Manufacturing, Retail & e-commerce Financial services, Healthcare, Logistics
Best use cases Running a European enterprise AI strategy engagement with an EU-incorporated agency., Pairing AI advisory with broader digital transformation and design work. Running an AI advisory initiative that needs to plug into an existing multi-technology enterprise stack., Adding robotic process integration alongside an AI advisory engagement.
Typical project type Retainer Dedicated team

Capgemini Invent vs Andersen: pros and cons

Capgemini Invent
+ A Paris headquarters gives EU buyers a genuine EU legal entity to contract with directly.
+ 17,000-plus staff across six continents supports large, geographically distributed programs.
+ Falls back on the wider Capgemini Group's technology delivery capacity when a project scales up.
+ Strategy consulting, data science, and design all sit under a single agency brand.
- AI work is embedded in a broader digital transformation brand rather than run as its own standalone practice
- Publicly reported headcount figures vary by roughly 1,000 across different sources
Andersen
+ A large global footprint, 20 offices and 16 development centers, supports concurrent enterprise programs.
+ The named AI and data practice isn't a generic add-on to broader software services.
+ Nearly two decades of software delivery history spanning multiple technology stacks.
+ Vertical coverage runs across financial services, healthcare, logistics, and automotive.
- AI advisory is one practice area within a much larger, multi-stack engineering business
- Scale typically means a more formal sales and onboarding process than boutique agencies

Who should choose Capgemini Invent?

A typical fit: running a European enterprise AI strategy engagement with an EU-incorporated agency.

A 17,000-plus person strategy and design agency backed by the wider Capgemini Group. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Automotive.

Who should choose Andersen?

A typical fit: running an AI advisory initiative that needs to plug into an existing multi-technology enterprise stack.

3,500-plus specialists across 20 global offices with a named AI advisory practice. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Logistics, Automotive.

Decision matrix: Capgemini Invent vs Andersen

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

Use case fit: Capgemini Invent vs Andersen

Use case Capgemini Invent fit Andersen fit Winner
Running a European enterprise AI strategy engagement with an EU-incorporated agency. Strong Strong Both equally
Pairing AI advisory with broader digital transformation and design work. Strong Limited Capgemini Invent
Running an AI advisory initiative that needs to plug into an existing multi-technology enterprise stack. Strong Strong Both equally
Adding robotic process integration alongside an AI advisory engagement. Limited Strong Andersen
Fixed-price project Limited Limited Both equally
Dedicated team model Limited Limited Both equally

Verdict: Capgemini Invent vs Andersen

Capgemini Invent (4.2/5) is the stronger overall choice for most AI Consulting projects. A 17,000-plus person strategy and design agency backed by the wider Capgemini Group.

Andersen (4.0/5) is worth a look if you need adding robotic process integration alongside an AI advisory engagement. If your situation matches that, Andersen is a competitive option.

Related comparisons

Capgemini Invent vs Andersen FAQ

Is Capgemini Invent better than Andersen?

Capgemini Invent (4.2/5) scores higher overall, but "better" depends on your use case. Capgemini Invent's strongest advantage: a Paris headquarters gives EU buyers a genuine EU legal entity to contract with directly. Andersen's strongest advantage: a large global footprint, 20 offices and 16 development centers, supports concurrent enterprise programs.

How do Capgemini Invent and Andersen differ in pricing?

Capgemini Invent uses retainer, enterprise contracting pricing. Andersen uses dedicated team or retainer pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Capgemini Invent or Andersen?

Capgemini Invent is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.

What are the main differences between Capgemini Invent and Andersen?

Capgemini Invent's primary differentiator is: a 17,000-plus person strategy and design agency backed by the wider Capgemini Group. Andersen's primary differentiator is: 3,500-plus specialists across 20 global offices with a named AI advisory practice. They also differ in team size (17,000+ vs 3,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Manufacturing vs Financial services, Healthcare).

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