Top AI Integration Companies

EPAM Systems vs Deloitte: full comparison for 2026

Quick verdict

EPAM Systems (4.3/5) edges ahead of Deloitte (4.1/5) overall. EPAM Systems is the better choice for large enterprises with Salesforce and SAP estates. Deloitte is the stronger option for regulated enterprises needing audit-grade AI controls. The right choice depends on your project size, budget, and required tech stack.

EPAM Systems vs Deloitte: head-to-head summary

Criterion EPAM Systems Deloitte
Founded 1993 1845
HQ Newtown, PA, USA London, UK
Team size 60,000+ 470,000+
Rating 4.3 / 5 4.1 / 5
Primary differentiator Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic Risk and governance expertise next to SAP and Oracle integration teams in one firm
Pricing model T&M, dedicated teams and fixed-scope programmes; rates on request Enterprise consulting rates and managed-service contracts; rates on request
Min. engagement Not disclosed Not disclosed
Primary tech stack Salesforce, SAP, Azure OpenAI SAP, Oracle, ServiceNow
Industries served Financial services, Healthcare & life sciences, Retail, Travel, Manufacturing Financial services, Public sector, Healthcare, Manufacturing, Energy

EPAM Systems vs Deloitte: overview

EPAM Systems

EPAM Systems is a NYSE-listed software engineering services company founded in 1993 in Princeton, New Jersey, and now headquartered in Newtown, Pennsylvania, with roughly 62,000 employees in more than 55 countries. It runs large Salesforce and SAP Commerce practices and bought Netherlands-based Just-BI to deepen its SAP consulting. In May 2026 it announced a multi-year partnership with Anthropic and a plan to certify more than 10,000 architects on Claude. Its AI/RUN platform is used to package enterprise deployments.

Deloitte

Deloitte is a global professional services network with origins in London in 1845 and more than 470,000 people as of fiscal 2025. Its consulting arm operates as a global systems integrator with alliances across SAP, Oracle, Salesforce, ServiceNow and the hyperscalers. Zora AI, built with NVIDIA, is its platform for deploying agents into finance, procurement, HR and customer service, and the firm has committed more than $3 billion to generative AI through 2030. Audit and risk practices sit inside the same network, which suits buyers with heavy compliance needs.

Services and capabilities: EPAM Systems vs Deloitte

Capability EPAM Systems Deloitte
CRM / ERP integration ✓ ✓
LLM API gateway & cost control ✓ ✗
Document processing ✗ ✗
Agentic workflows ✓ ✓
Fixed-price pilot ✗ ✗
Managed services after launch ✗ ✓
PII masking & access control ✗ ✓

Tech stack comparison: EPAM Systems vs Deloitte

Framework / platform EPAM Systems Deloitte
Salesforce ✓ ✓
SAP ✓ ✓
Microsoft Dynamics 365 N/A N/A
HubSpot N/A N/A
Snowflake N/A N/A
Databricks N/A N/A
Azure OpenAI ✓ ✓
AWS Bedrock ✓ N/A
LangChain N/A N/A
ServiceNow N/A ✓

Pricing comparison: EPAM Systems vs Deloitte

Criterion EPAM Systems Deloitte
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed project, Time & materials, Dedicated team Fixed project, Time & materials, Managed services
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: EPAM Systems vs Deloitte

Dimension EPAM Systems Deloitte
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Healthcare & life sciences, Retail Financial services, Public sector, Healthcare
Best use cases Agentforce and service-agent features across a large Salesforce estate., AI features in SAP Commerce storefronts and order flows. Finance-close and procurement agents on SAP with documented controls., Model-risk and AI-governance frameworks for banks.
Typical project type Fixed project Fixed project

EPAM Systems vs Deloitte: pros and cons

EPAM Systems
+ Thousands of certified Salesforce staff and a dedicated SAP Commerce bench
+ Formal model-provider partnership gives early access and support for Claude-based builds
+ Engineering rigor suited to complex, multi-system integrations
+ Large nearshore delivery in Central Europe and Latin America
- Scale and account structure favour large, multi-year engagements
- Delivery staff numbers for specific platforms come partly from older announcements
- Advice tends to lead toward EPAM-delivered builds
Deloitte
+ Risk, audit and controls expertise is available inside the same firm
+ Deep SAP and Oracle finance-system integration history
+ Prebuilt agent catalogue for back-office functions
- Audit independence rules can stop it from consulting for its own audit clients
- High cost floor and long programme set-up
- Productivity targets for Zora AI come from secondary sources and are unverified

Who should choose EPAM Systems?

A typical fit: agentforce and service-agent features across a large Salesforce estate.

Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare & life sciences, Retail, Travel, Manufacturing.

Who should choose Deloitte?

A typical fit: finance-close and procurement agents on SAP with documented controls.

Risk and governance expertise next to SAP and Oracle integration teams in one firm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Public sector, Healthcare, Manufacturing, Energy.

Decision matrix: EPAM Systems vs Deloitte

Your situation Recommended choice
You want a fixed-price audit or pilot before committing Neither advertises one; ask for a scoped pilot
AI has to work inside your existing CRM or ERP Both
Personal data must be masked and answers limited by user permissions Deloitte
Your budget is at the lower end Compare: EPAM Systems (Not disclosed) vs Deloitte (Not disclosed)
You want the vendor to run the AI service after launch Deloitte
You are building multi-step agents across systems Both

Use case fit: EPAM Systems vs Deloitte

Use case EPAM Systems fit Deloitte fit Winner
Agentforce and service-agent features across a large Salesforce estate. Strong Limited EPAM Systems
AI features in SAP Commerce storefronts and order flows. Strong Strong Both equally
Finance-close and procurement agents on SAP with documented controls. Limited Strong Deloitte
Model-risk and AI-governance frameworks for banks. Limited Strong Deloitte

Verdict: EPAM Systems vs Deloitte

EPAM Systems (4.3/5) is the stronger overall choice for most AI Integration projects. Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic.

Deloitte (4.1/5) is worth a look if you need model-risk and AI-governance frameworks for banks. If your situation matches that, Deloitte is a competitive option.

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EPAM Systems vs Deloitte FAQ

Is EPAM Systems better than Deloitte?

EPAM Systems (4.3/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: thousands of certified Salesforce staff and a dedicated SAP Commerce bench. Deloitte's strongest advantage: Risk, audit and controls expertise is available inside the same firm.

How do EPAM Systems and Deloitte differ in pricing?

EPAM Systems pricing: T&M, dedicated teams and fixed-scope programmes; rates on request. Deloitte pricing: Enterprise consulting rates and managed-service contracts; rates on request. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: EPAM Systems or Deloitte?

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 company before shortlisting.

What are the main differences between EPAM Systems and Deloitte?

EPAM Systems's primary differentiator is: engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic. Deloitte's primary differentiator is: risk and governance expertise next to SAP and Oracle integration teams in one firm. They also differ in team size (60,000+ vs 470,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare & life sciences vs Financial services, Public sector).

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