Generative AI is moving quickly from experimentation to real business use. Companies are using it for customer support, content creation, software development, document processing, knowledge management, and workflow automation.
But choosing the right partner can be difficult. Gartner describes generative AI consulting and implementation services as support that helps organizations identify use cases, develop strategies, build solutions, and deploy generative AI while addressing skills, technology, security, and business requirements.
Here are 10 companies to know for generative AI consulting services, based on their documented capabilities and presence in the broader AI consulting market.
1. EPAM
EPAM provides generative AI consulting and implementation services covering business assessment, AI strategy, solution development, integration, and deployment. Gartner lists EPAM among the vendors in its generative AI consulting and implementation services market.
Its services can be relevant for enterprises looking to integrate generative AI into areas such as automation, data analysis, personalization, and business processes.
2. Rubixe
Rubixe is an AI consulting company based in Bengaluru that works with businesses on AI strategy, implementation, automation, and data readiness.
For organizations exploring generative AI consulting services, Rubixe takes a roadmap-first approach. Its consulting process includes understanding business workflows, identifying AI use cases, assessing data readiness, creating an adoption roadmap, and moving selected use cases into production.
Rubixe also provides AI and ML consulting, AI automation, AI staffing, and AI cybersecurity services, allowing businesses to combine generative AI projects with broader AI initiatives.
3. NTT DATA
NTT DATA offers generative AI consulting and implementation services focused on evaluating business requirements, identifying use cases, developing AI strategies, and integrating solutions into existing environments.
Its approach can include custom use cases, model selection, implementation, and deployment support. Gartner currently lists NTT DATA among the vendors in this market.
4. Accenture
Accenture works with enterprises on generative AI adoption, customization, integration, and scaling. Its services cover areas such as AI strategy, model selection, solution development, deployment, and governance.
This makes it relevant for larger organizations that need support moving generative AI from experimentation into established business workflows. Gartner includes Accenture among the providers in this market.
5. Cognizant
Cognizant is another major technology services company with capabilities around generative AI consulting and implementation.
Its work includes helping organizations identify business opportunities for generative AI, develop solutions, integrate them with existing technology, and support enterprise adoption. Gartner lists Cognizant among the vendors in its market coverage.
6. BCG
Boston Consulting Group combines business strategy with technology consulting. Its generative AI services cover use case identification, strategy, responsible AI considerations, solution development, and scaling.
This type of approach can help organizations connect generative AI projects with broader transformation programs rather than treating AI as an isolated technology experiment. Gartner includes BCG in its market listing.
7. Booz Allen Hamilton
Booz Allen Hamilton provides consulting support for generative AI strategy, solution design, implementation, and scaling.
Its services address areas such as automation, data analysis, decision support, and workflow optimization. Gartner identifies Booz Allen Hamilton as a provider in the generative AI consulting and implementation services market.
8. Insight
Insight provides generative AI consulting and implementation support for organizations looking to move from planning to deployment.
Gartner Peer Insights currently lists Insight's generative AI consulting and implementation service with customer reviews, including feedback covering project execution and performance expectations.
For businesses evaluating providers, customer reviews can provide additional context alongside technical capabilities and service descriptions.
9. DXC Technology
DXC Technology provides generative AI consulting and implementation services focused on identifying suitable AI applications, designing implementation strategies, and integrating solutions into enterprise environments.
Its documented service offering includes assessment, custom AI development, workflow integration, and deployment support.
10. GFT Technologies
GFT Technologies provides generative AI consulting and implementation support, including business assessment, strategy development, model selection, solution development, and integration.
Its services are designed around practical business applications such as process optimization, content generation, and workflow improvement. Gartner lists GFT Technologies among the providers in this market.
What to Look for in a Generative AI Consulting Partner
The right provider depends on your business requirements, existing technology, data maturity, budget, and target use cases. Instead of looking only at the size of a consulting company, consider whether it can support the complete AI journey.
Look for experience in:
- AI strategy and use case discovery
- Generative AI model selection
- Data preparation and governance
- Custom AI application development
- API and enterprise system integration
- Security and responsible AI
- Production deployment and monitoring
- Employee training and AI adoption
Gartner's research highlights the importance of moving beyond proof of concept toward scaled implementation and measurable business impact.
Final Thoughts
Generative AI consulting is becoming less about simply choosing an AI model and more about finding practical ways to use AI inside real business processes.
The companies above represent different approaches, from large global technology consultancies to specialized AI consulting firms such as Rubixe.
Before choosing a provider, businesses should compare technical capabilities, industry experience, implementation approach, security practices, and ability to support projects after deployment.
The goal should be a generative AI solution that solves a clear business problem and can grow as the organization's needs change.
