McKinsey and Google Cloud have announced the launch of the McKinsey Google Transformation Group, expanding their long-running partnership to help enterprises scale AI across industries and business functions. The new group brings together McKinsey’s strategy, industry expertise, and delivery capabilities with Google Cloud’s AI stack, including compute accelerators, Gemini models, and Gemini Enterprise.
The collaboration is being positioned as a more structured approach to enterprise AI delivery, with joint teams, co-funded value assessments, and outcome-based models at the centre of the offering. The companies said the model is intended to reduce up-front investment while tying AI programmes more closely to measurable business results.
Joint Model for AI Transformation
The McKinsey Google Transformation Group is designed to support enterprises through the full transformation lifecycle, from value discovery and ambition setting to roadmap development, MVP creation, and enterprise-wide deployment. McKinsey said the framework is built around three pillars: reimagine, innovate, and implement.
The companies will also work on reusable proprietary assets and AI-powered client solutions built on Google Cloud, using McKinsey’s domain knowledge to speed up time to value and encourage broader adoption. McKinsey’s QuantumBlack technologists will collaborate with Google engineers on industry-specific use cases, while Google DeepMind will provide early access to frontier models in the Gemini family.
Google Cloud said the initiative reflects a broader push to help enterprises move beyond pilots and into sustained AI deployment across workflows, processes, and value chains.
Early Client Examples
The companies pointed to existing work with customers such as Indosat, CBRE, and Formula E as examples of what the partnership can produce. In telecom, Indosat has used Google Cloud AI and Gemini models to support marketing and customer journeys, with the company saying the initiative is expected to deliver more than $360 million in cumulative EBITDA impact by 2027.
In commercial real estate, CBRE is working with the partners to deploy agentic AI across business domains, while Formula E has used the collaboration to embed AI and analytics into motorsport operations. The companies said these examples show how the partnership is already being used across sectors ranging from telecom and real estate to performance sports.
Google Cloud’s Enterprise Push
The announcement comes as Google Cloud continues to position AI agents and enterprise software as the core of its monetisation strategy. The company has been pushing Gemini Enterprise as the umbrella for its AI tools, while also introducing new governance and security features for agentic systems.
Alphabet has also said it plans to spend between $175 billion and $185 billion this year, with more than half of its machine-learning compute investment going toward the cloud business. Google Cloud said its strategy is centered on making AI infrastructure and enterprise deployment more closely integrated for business customers.
