Best Generative AI Consulting Firms

Deloitte vs Infosys: full comparison for 2026

Quick verdict

Deloitte (4.2/5) edges ahead of Infosys (4.0/5) overall. Deloitte is the better choice for global enterprises wanting generative AI strategy from a Big Four firm. Infosys is the stronger option for global enterprises needing generative AI consulting inside a full IT services contract. The right choice depends on your project size, budget, and required tech stack.

Deloitte vs Infosys: head-to-head summary

Criterion Deloitte Infosys
Founded 1845 1981
HQ London, United Kingdom Bengaluru, India
Team size 470,000 330,000+
Rating 4.2 / 5 4.0 / 5
Primary differentiator Largest professional services network globally, with a dedicated generative AI research institute One of the world's largest IT services firms with a dedicated London-based consulting arm
Pricing model Retainer, enterprise contracting Retainer, enterprise contracting
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, AWS, Azure Python, AWS, Azure
Industries served Financial services, Healthcare, Manufacturing, Government Financial services, Manufacturing, Retail & e-commerce, Telecom

Deloitte vs Infosys: overview

Deloitte

Deloitte was founded in 1845 in London and is now the largest professional services network in the world by revenue and headcount, employing approximately 470,000 people as of 2025. Its AI and Insights practice covers generative AI, agentic AI, and edge intelligence specifically, backed by the Deloitte AI Institute for research and thought leadership. At this scale, generative AI consulting is one service line within an enormous global professional services firm, not a dedicated boutique.

Infosys

Infosys was founded in 1981 and is headquartered in Bengaluru, India, employing approximately 330,429 people worldwide as of March 2026. The company delivers enterprise generative AI consulting services, and its wholly-owned subsidiary Infosys Consulting, founded in 2004, is headquartered in London, adding a dedicated strategy layer distinct from the parent's larger delivery organization.

Services and capabilities: Deloitte vs Infosys

Capability Deloitte Infosys
AI strategy consulting
Generative AI
Machine learning
Data engineering
MLOps
Fixed-price projects
Dedicated team model

Tech stack comparison: Deloitte vs Infosys

Framework / platform Deloitte Infosys
Python
AWS
Azure
Google Cloud
Kubernetes
LangChain N/A N/A
PyTorch N/A N/A

Pricing comparison: Deloitte vs Infosys

Criterion Deloitte Infosys
Minimum engagement Not disclosed Not disclosed
Engagement models Retainer, Dedicated team Retainer, Dedicated team
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Deloitte vs Infosys

Dimension Deloitte Infosys
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Healthcare, Manufacturing Financial services, Manufacturing, Retail & e-commerce
Best use cases Running an enterprise generative AI strategy engagement that needs Big Four brand credibility., Needing generative AI consulting bundled with audit, tax, or broader advisory relationships already in place. Running a generative AI consulting initiative as part of a much larger enterprise IT services contract., Needing a globally recognized vendor for board-level procurement approval.
Typical project type Retainer Retainer

Deloitte vs Infosys: pros and cons

Deloitte
+ 470,000-person global scale, the largest professional services network in the world.
+ Dedicated Deloitte AI Institute adds research and thought leadership behind the generative AI consulting work.
+ Nearly two centuries of institutional history and enterprise relationships.
+ Covers generative AI, agentic AI, and edge intelligence under one named practice.
- Generative AI consulting is one service line inside an enormous, diversified professional services firm
- Big Four pricing and engagement minimums put it out of reach for most small and mid-size buyers
Infosys
+ Massive global scale (330,000-plus employees) supports the largest enterprise generative AI programs.
+ Dedicated Infosys Consulting subsidiary adds a London-based strategy layer.
+ Four decades of operating history and deep enterprise procurement relationships.
+ Broad cloud and enterprise software partnerships reduce platform risk.
- Generative AI consulting is one part of an enormous general IT services business, not a specialized focus
- Scale typically means slower engagement setup than smaller, more agile firms

Who should choose Deloitte?

A typical fit: running an enterprise generative AI strategy engagement that needs Big Four brand credibility.

Largest professional services network globally, with a dedicated generative AI research institute. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Manufacturing, Government.

Who should choose Infosys?

A typical fit: running a generative AI consulting initiative as part of a much larger enterprise IT services contract.

One of the world's largest IT services firms with a dedicated London-based consulting arm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Telecom.

Decision matrix: Deloitte vs Infosys

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 Deloitte
Your budget is at the lower end Compare: Deloitte (Not disclosed) vs Infosys (Not disclosed)
You need specialist depth in a specific vertical Deloitte
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Deloitte

Use case fit: Deloitte vs Infosys

Use case Deloitte fit Infosys fit Winner
Running an enterprise generative AI strategy engagement that needs Big Four brand credibility. Strong Strong Both equally
Needing generative AI consulting bundled with audit, tax, or broader advisory relationships already in place. Strong Strong Both equally
Running a generative AI consulting initiative as part of a much larger enterprise IT services contract. Strong Strong Both equally
Needing a globally recognized vendor for board-level procurement approval. Strong Strong Both equally
Fixed-price project Limited Limited Both equally
Dedicated team model Limited Limited Both equally

Verdict: Deloitte vs Infosys

Deloitte (4.2/5) is the stronger overall choice for most Generative AI Consulting projects. Largest professional services network globally, with a dedicated generative AI research institute.

Infosys (4.0/5) is worth a look if you need needing a globally recognized vendor for board-level procurement approval. If your situation matches that, Infosys is a competitive option.

Related comparisons

Deloitte vs Infosys FAQ

Is Deloitte better than Infosys?

Deloitte (4.2/5) scores higher overall, but "better" depends on your use case. Deloitte's strongest advantage: 470,000-person global scale, the largest professional services network in the world. Infosys's strongest advantage: massive global scale (330,000-plus employees) supports the largest enterprise generative AI programs.

How do Deloitte and Infosys differ in pricing?

Deloitte uses retainer, enterprise contracting pricing. Infosys uses retainer, enterprise contracting pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Deloitte or Infosys?

Deloitte 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 Deloitte and Infosys?

Deloitte's primary differentiator is: largest professional services network globally, with a dedicated generative AI research institute. Infosys's primary differentiator is: one of the world's largest IT services firms with a dedicated London-based consulting arm. They also differ in team size (470,000 vs 330,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Financial services, Manufacturing).

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