Generative AI
Wipro
Wipro launched ai360 in 2023 with a $1 billion, three-year AI investment commitment, backed by the…
Area
Generative AI, in enterprise use, means applications built on large language models: drafting, summarising, extracting and classifying. The distinction from agentic AI is that a generative application answers what it was asked, rather than deciding what to do next.
Generative AI
Wipro launched ai360 in 2023 with a $1 billion, three-year AI investment commitment, backed by the…
Generative AI
EY launched its EY.ai Agentic Platform in March 2025 with NVIDIA, building custom frameworks for designing…
Agentic AI
Cognizant positions itself as an AI Builder and delivered more than $21 billion in 2025 revenue,…
Agentic AI
IBM Consulting builds its generative AI practice on watsonx, a platform Gartner named a Leader across…
Generative AI
BCG X, the build-focused arm of Boston Consulting Group, creates industry-specific AI platforms such as Auto…
AI Consulting
McKinsey's QuantumBlack unit began as an independent Formula 1 racing analytics firm before McKinsey acquired it…
Agentic AI
Deloitte built Zora AI, an agentic product platform shipping ready-to-deploy AI agents that perceive, reason, and…
Generative AI
A ranked guide to the top 10 generative AI companies in 2026, covering the model builders,…
AI Consulting
Bain and OpenAI have run a joint services alliance since 2022, and Bain became an OpenAI…
Agentic AI
Anthropic built its position by winning the enterprise market that OpenAI built its reputation on. The…
Generative AI, in enterprise use, means applications built on large language models: drafting, summarising, extracting and classifying. The distinction from agentic AI is that a generative application answers what it was asked, rather than deciding what to do next.
Area reviewed 12 Sep 2026
What the work involves
The model is rarely the hard part. The work is retrieval over your own documents, output validation, human review paths and the accuracy measurement that tells you whether any of it helped. Firms that lead with prompt engineering as a discipline are describing the easiest 10% of the project.
Who buys it
Legal, claims, procurement and finance teams buy this first, because they hold large volumes of text that people currently read manually. The budget usually sits in the function rather than in IT, which speeds up the pilot and slows down the production deployment.
Firms in this area
See all 42 firms in this area
What to ask
Research notes
This is the largest and least differentiated area we cover. We track 42 firms and rank none of them overall, because the work is too task-specific for a single ordering to be useful. Instead we assess by use case: document extraction, drafting, classification and summarisation are effectively four different markets with different leaders.
| Use case | Firms with production references | Assessment status |
|---|---|---|
| Document extraction | 14 | Ranking published Q4 |
| Drafting and summarisation | 19 | In progress |
| Classification and routing | 11 | In progress |
| Conversational support | 9 | Not started |