Upcoming ISG Provider Lens^® report will evaluate providers that help enterprises use GenAI as a strategic enabler of intelligent operations

Information Services Group (ISG) (Nasdaq: III), a global AI-centered technology research and advisory firm, has launched a research study examining providers that help enterprises achieve scaled, value-creating transformation with GenAI.

The study results will be published in a series of comprehensive ISG Provider Lens^® reports, called Generative AI Services, scheduled to be released in September 2026. The reports will cover companies offering GenAI strategy, consulting, development and deployment services.

Enterprise buyers will be able to use information from the reports to evaluate their current vendor relationships, potential new engagements and available offerings, while ISG advisors use the information to recommend providers to the firm’s buy-side clients.

Enterprises are advancing to scaled deployment of GenAI, embedding it into core operations and decision-making. This movement is creating growing demand for structured approaches that accelerate enterprise-wide deployment and return on investment. Organizations seek providers that can enable this transition with robust strategies, scalable architectures and disciplined execution, ensuring that GenAI initiatives deliver sustained business value across multiple functions.

“Enterprises are gaining access to more context-aware and cost-efficient GenAI capabilities through advances in large and small language models,” said Namratha Dharshan, chief business leader at ISG. “This is increasing demand for providers that can tailor and operationalize these models for specific business needs.”

ISG has distributed surveys to approximately 170 GenAI service providers. Working in collaboration with ISG’s global advisors, the research team will produce two quadrants representing the typical GenAI services enterprises are buying, based on ISG’s experience working with its clients. The two quadrants are:

• Strategy and Consulting Services, evaluating providers delivering strategy and consulting services to help enterprises plan and operationalize GenAI initiatives. These providers are assessed on their domain-specific advisory expertise and capabilities in large language models, small language models, fine tuning, retrieval-augmented generation and model selection strategies.
• Development and Deployment Services, assessing providers that deliver end-to-end services to industrialize and scale GenAI solutions from pilot to production. The providers should be able to architect secure cloud infrastructures and implement large language model operations.

Geographically focused reports from the study will cover the global GenAI services market and examine products and services available in Brazil and globally. ISG analysts Gowtham Kumar Sampath and Hemangi Patel (global) and Adriana Frantz (Brazil) will serve as authors of the reports.

A list of identified providers and vendors and further details on the study are available in this digital brochure. Companies not listed as generative AI service providers can contact ISG and ask to be included in the study.

All 2026 ISG Provider Lens evaluations feature expanded customer experience (CX) data that measures actual enterprise experience with specific provider services and solutions, based on ISG’s continuous CX research.

About ISG

ISG (Nasdaq: III) is a global AI-centered technology research and advisory firm. A trusted partner to more than 900 clients, including 75 of the world’s top 100 enterprises, ISG is a long-time leader in technology and business services that is now at the forefront of leveraging AI to help organizations achieve operational excellence and faster growth. The firm, founded in 2006, is known for its proprietary market data and research, in-depth knowledge and governance of provider ecosystems, and the expertise of its 1,500 professionals worldwide working together to help clients maximize the value of their technology investments.

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Enterprises are gaining access to more context-aware and cost-efficient GenAI capabilities through advances in large and small language models. This is increasing demand for providers that can tailor these models to specific business needs.