Best 10 Generative AI Consulting Companies to Hire in 2026

There is a tremendous amount of interest in generative artificial intelligence (GenAI), and more companies are now acquiring consulting services to develop their LLM strategies, create AI agents, build and support their RAG pipelines, innovate their data foundations, and implement safe GAIs in production.

We created our highly credible list by compiling it without ranking, meaning that it should not be viewed as a ranking of companies but rather as a collection of the top GenAI businesses to check out in 2026.

Best 10 Generative AI Consulting Companies to Hire in 2026: Full List

1. Cleveroad
2. Accenture
3. Deloitte
4. IBM Consulting
5. Capgemini
6. McKinsey & Company
7. Boston Consulting Group (BCG)
8. PwC
9. Cognizant
10. EPAM Systems

How we selected these companies

The companies that we selected for this report were chosen using an objective, organized selection process, so that our list was not based on personal opinion.

Directories and sources we checked

We used the following directories and resources to verify the companies' credibility and review their publicly available information:

• Clutch: provides verified vendor profiles and reviews.
• Vendor's website: to identify the Generative AI service(s) and offerings, including Generative AI announcements and news.
• The vendor's public profile: This will provide baseline information, including the year of establishment and where their headquarters are located (if appropriate).

Criteria for Vendor Selection

We have chosen vendors based on the following criteria:

• Technical Ability to Deliver in Generative AI. This means having experience in developing LLM applications, RAGs (Regenerative Adversarial Networks), agents (AI-based agents), copilots and evaluation processes.
• Enterprise Level of Readiness. This includes being able to provide security, governance, reliability and integration.
• Expertise within an Industry. This involves having established use cases across regulated and high-impact industries.
• Trust Signals. Trust signals include certification(s), positive vendor reviews, positive public relations (PR), and ability to deliver at an appropriate scale.

1) Cleveroad

Founded in: 2011
Headquarters: Claymont, Delaware, USA
Hourly Rate: $80–$80/hr
Industry Expertise: Healthcare, FinTech, Logistics, E-commerce, SaaS, Media & Entertainment
Website: cleveroad.com

Cleveroad is a generative AI development company that assists companies in moving past the hype surrounding AI and introducing useful solutions. From a technical delivery standpoint, Cleveroad supports projects like RAG-based knowledge search, LLM-powered copilots and assistants, AI automation for operations and customer support, and intelligent workflows for managing unstructured documents and business data. The Cleveroad team is well-suited when clients require complete implementation.

Trust and compliance readiness are important differentiators: Cleveroad is ISO-certified (ISO 9001 + ISO/IEC 27001), indicating a sophisticated approach to information security and quality management. Additionally, from the perspective of third-party verification, Cleveroad has received extensive feedback from verified clients on Clutch, with 77 reviews, averaging a score of 4.9 out of 5 stars.

2) Accenture

Founded in: 1989
Headquarters: Dublin, Ireland
Hourly Rate: $150+/hr
Industry Expertise: Finance, Retail, Manufacturing, Telecom, Healthcare, Public sector
Website: accenture.com

Accenture is an excellent partner for businesses seeking to leverage Generative Artificial Intelligence (GAI) to drive innovative business transformation at scale and across all areas of their organizations. Accenture focuses on helping clients establish a strong and secure digital infrastructure and a framework for responsible AI consumption and operational transformation in conjunction with their use of GAI.

Accenture's technical support includes comprehensive assistance with developing GAI strategies and enabling platforms, modernizing data, and securely deploying GAI applications across cloud-based systems. Accenture is particularly well-suited for larger organizations, especially those with complex and distributed organizational structures, requiring governance around the deployment of multi-team solutions.

3) Deloitte

Founded in: 1845
Headquarters: London, United Kingdom
Hourly Rate: $150+/hr
Industry Expertise: Financial Services, Healthcare, Government, Energy, Retail
Website: deloitte.com

Organizations looking to innovate with Generative AI— especially in environments that require strong risk controls and governance due to regulation— frequently choose to partner with Deloitte for this purpose. Deloitte's strength in helping an organization implement new ways of working through the use of business-led AI includes the need for Change Management, Operating Model Updates and Compliance Alignment (as opposed to only Software Delivery).

On the Technical side of things, the consulting firm has delivered comprehensive, multi-functional AI deployments on behalf of clients where Generative AI will have a tangible impact on the way an organization works, such as when generating reports, enhancing customer experiences or creating efficiencies within their own operations.

4) IBM Consulting

Founded in: 1911
Headquarters: Armonk, New York, USA
Hourly Rate: $150+/hr
Industry Expertise: Banking, Insurance, Manufacturing, Public sector, Enterprise IT
Website: ibm.com/consulting

IBM is a fantastic choice for businesses that want their GenAI technology delivered with a solid technical foundation and continued support for operations in the future. IBM also recently announced the opening of a Center of Excellence for Generative AI, which will operate alongside their Global Artificial Intelligence and Automation Practice.

From a technical standpoint, IBM is very strong in architecting and deploying Enterprise Level GenAI capabilities, across multiple Cloud providers, and tying GenAI into their Data Governance and Automation solutions.

5) Capgemini

Founded in: 1967
Headquarters: Paris, France
Hourly Rate: $120+/hr
Industry Expertise: Manufacturing, Automotive, Finance, Telecom, Energy
Website: capgemini.com

Capgemini is a recognised worldwide provider of IT services and consulting with an extensive range of capabilities to support Companies adopting GenAI technology across across different geographies and technologies and within diverse corporate organisation structures.

Typically, Capgemini is considered to provide enterprise-level solutions for enterprise modernisation + automation + enabling businesses to achieve their goals through data-based transformation, utilizing GenAI as part of a wider business improvement effort rather than being itself treated as a single product.

6) McKinsey & Company

Founded in: 1926
Headquarters: New York City, USA
Hourly Rate: $200+/hr
Industry Expertise: Cross-industry strategy (finance, healthcare, consumer, industrials, public sector)
Website: mckinsey.com

McKinsey is an excellent option for organizations interested in developing their GenAI strategy and their operating model(s) and subsequent transformation plans. Their approach is geared toward the decision-making level related to AI value creation, the redesign of existing processes, and developing capabilities.

While the majority of organizations can develop prototypes of their GenAI solutions, McKinsey has the expertise to guide businesses on what to develop, the importance of the solutions, how to measure ROI, and how to build their solution infrastructure in a sustainable manner throughout the organization.

7) Boston Consulting Group (BCG)

Founded in: 1963
Headquarters: Boston, Massachusetts, USA
Hourly Rate: $200+/hr
Industry Expertise: Strategy across finance, retail, manufacturing, energy, public sector
Website: bcg.com

Companies seeking to integrate Generative Artificial Intelligence into their business strategies will benefit from a partnership with Boston Consulting Group because BCG focuses on the business impact of Generative AI on team interaction, decision making, and product placement.

BCG offers optimal services when Generative A.I. Solutions are part of a comprehensive solution set that includes corporate strategy, innovation, transformation execution, and redesigning the organizational structure.

8) PwC

Founded in: 1998
Headquarters: London, United Kingdom
Hourly Rate: $150+/hr
Industry Expertise: Finance, Retail, Healthcare, Government, Risk & compliance
Website: pwc.com

There are a number of ways in which PwC personally assists organisations in the deployment of AI and the change to AI-enabled approaches, implementing AI as a means of achieving greater access to insight at a lower cost, and to speed up the process of innovation.

PwC is particularly relevant for companies to consider when AI projects intersect with the practice of managing risks, preparing for audit, meeting compliance requirements and providing enterprise governance because for Generative AI Programs this is often a reality.

9) Cognizant

Founded in: 1994
Headquarters: Teaneck, New Jersey, USA
Hourly Rate: $100+/hr
Industry Expertise: Healthcare, Life Sciences, Banking, Insurance, Retail, IT services
Reviews: Reviews available on Gartner Peer Insights (varies by offering)
Website: cognizant.com

Cognizant is well positioned for companies eager to transition from GenAI experimentation to actual usage. The GenAI positioning provides secure, scalable and responsible methods for implementing GenAI and covers the entire process of selecting use cases all the way through to operationalizing the solutions.

From a technology perspective, Cognizant has a strong competency in implementing GenAI solutions within the areas of customer experience, marketing / sales enablement, internal knowledge workflows and automation. Therefore, it is well suited for larger service-based organizations.

10) EPAM Systems

Founded in: 1993
Headquarters: Newtown, Pennsylvania, USA
Hourly Rate: $150–$199/hr
Industry Expertise: Financial services, Healthcare, Retail, Travel, Enterprise software
Reviews: 1 review on Clutch (rating varies per profile snapshot)
Website: epam.com

Known for their deep engineering experience and enterprise-level delivery of digital products, EPAM is again a great fit for GenAI projects as long as clients also need extensive implementation capability around architecture, integration, and highly complex real-world system integration.

EPAM has received substantial recognition (as highlighted in their Clutch profile) and is also on Ad Age’s Top 25 Largest Agency Companies (as shown in the summary), as well as having a significant amount of visibility around the EPAM Continuum unit. Therefore, EPAM can provide credible support for organizations seeking an engineering-heavy approach to delivering GenAI solutions, rather than just an advisory arm.

Things to Keep in Mind When Sourcing a Company to Assist with Generative AI in 2026

Sourcing a partner for Generative AI in 2026 is more about practical applications than presentation. The most important factors include:

1) Established Experience

Select a partner that has been able to assist customers with PoC to build MVP and scale to production. They should also have numerous established success stories that they can share.

2) Strong RAG and Data Integration

The most effective Generative AI solutions require Retrieval Augmented Generation (RAG) to maintain accuracy by integrating with existing internal knowledge bases. Verify that they have capability to pull data from all your sources and systems.

3) Automation, Intelligence Agents and Process Workflows

Leading Generative AI providers are not only able to answer questions, but they also create AI Agents that can perform tasks and connect with other applications (CRM, Helpdesk, and internal APIs).

4) Compliance and Security

Make sure to verify the security controls of the provider. It is particularly important for companies that operate in regulated industries. Providers that have established security frameworks will have lower risk of implementation failure.

5) Defined Measurements of Success

Your partnership should be based on measurable KPIs (accuracy, cost per task, latency, and adoption). Your partner should monitor these KPIs and provide continual evaluation and improvement after implementation.