Accenture, through its newly launched Accenture Edge business, and Google Cloud today announced a suite of agentic solutions to enable mid-market companies to drive technology and AI transformation. Accenture Edge will bring Accenture’s global strength and leadership position with Google Cloud to a new market segment providing pre-built solutions designed for the speed and scale mid-market organizations require. The collaboration aims to help these organizations move from AI pilots to production faster by leveraging pre-built, industry-specific agents. This initiative targets companies with annual revenues between $300 million and $3 billion, providing them with scalable solutions designed for speed and operational efficiency.

The offerings utilize Google Cloud as the technology foundation, integrating the Gemini Enterprise app, Gemini Enterprise Agent Platform, and Agentic Data Cloud. These technologies, combined with Accenture’s forward deployed engineers (FDEs), provide the agentic intelligence, data infrastructure, and cloud-native architecture required to scale AI operations. Additionally, Google AI Threat Defense, including Gemini, Mandiant, and Wiz, is embedded to ensure enterprise-grade security and continuous monitoring.

Solution Areas

The collaboration spans six agentic solution areas purpose-built for mid-market needs:

Accenture Edge offerings are designed to allow mid-market organizations to deploy solutions in weeks and achieve measurable outcomes at the necessary scale and budget. The partnership brings the full power of Google Cloud’s portfolio, including enterprise AI and security tools, directly to this market segment.

European companies are narrowing the artificial intelligence (AI) readiness gap with North America, though a growing divide between large and smaller firms threatens the region's overall competitiveness, according to the inaugural Accenture AI Progress Barometer. The report tracks the AI readiness of approximately 3,000 of the world’s largest companies, scoring them on a scale from 0 to 100 based on their ability to maximize value from AI through data, workforce skills, and processes.

Over the past six months, European companies improved their AI Readiness scores by 1.6 points, compared with a 1.1-point improvement in North America. Despite this faster growth, North American companies continue to hold a higher overall level of readiness, averaging 48.9 out of 100 compared with 43.1 for European companies. The data highlights a widening split within Europe, where the largest firms with annual revenues above $10 billion are closing the gap, ranking just 2.1 points behind their North American peers. In contrast, smaller European companies lag comparable North American firms by 7.6 points, creating a pronounced "long tail" that could hinder future productivity and growth.

Regional and Sectoral Performance

The pace of progress varies significantly across countries and industries. Companies in France, the United Kingdom, and Spain recorded the largest improvements in AI readiness, while ten of the 18 sectors tracked showed overall gains. The insurance sector led the rankings with the fastest gains, followed by travel and consumer goods. This progress reflects a shift from experimentation to large-scale execution, with companies reinventing business processes and modernizing data foundations.

AI Readiness Scores by Region

Top Performing Sectors

Executive Perspectives

Mauro Macchi, CEO for Europe, Middle East, and Africa at Accenture, attributed the momentum to large enterprises driving enterprise-wide reinvention rather than simple adoption. He emphasized that rethinking operating models, strengthening data foundations, and ensuring leadership engagement are critical for defining Europe’s future competitiveness. Gavin Stephenson, Accenture’s Data & AI lead for EMEA, noted that the shift involves redesigning work processes, such as automating straightforward insurance claims while flagging complex cases for human experts, which requires clean, integrated data and a trained workforce.