Artificial intelligence with generative and agentic AI – the defining transformation of our time. ​

With the evolution of Gen AI and agentic AI, artificial intelligence (AI) is profoundly changing how organizations operate and create value. To compete, leaders in every sector around the globe are compelled to envision and implement AI–driven transformation.​

The Resonance AI Framework by ��ѻ��ý provides a sequential approach to the conceptualization, structuring, and implementation of successful AI-driven transformation. It helps business leaders realize AI’s potential and achieve market leadership regardless of the industry. Anchored in transformation strategy, the Framework helps integrate operations and culture while accelerating AI value creation– to both transform today and build for tomorrow.   

The Resonance AI Framework is supported by the full breadth of ��ѻ��ý’s data and AI capabilities, services and solutions,  as well as a comprehensive, enterprise-ready generative AI and AI agents platform. Each of its components serves as a foundational element to help leaders embark on their AI transformation journey. 

In the news

��ѻ��ý to acquire WNS

On July 7, 2025, we announced our plans to acquire leading digital-led business transformation and services company WNS to create a global leader in agentic AI-powered intelligent eperations.

Read our press release

We unveil our Resonance AI Framework

On July 3, 2025, we unveiled a strategic AI framework to turn enterprise ambition into measurable business impact.

Read our press release

The transformative impact of Gen AI and agentic AI

The importance of customer service cannot be overstated. It is one of the most powerful capabilities available to organizations to help them drive purchases, encourage loyalty, and shape brand perception by connecting directly with customer sentiment. Its success is measured in part by how well it fulfills consumer expectations – and those expectations are changing. How can organizations better meet the needs of customers, while also empowering dissatisfied customer service agents, and delivering top- and bottom-line benefits?

Unleashing the value of customer service, a new report from the ��ѻ��ý Research Institute, provides organizations with a road map toward revolutionizing customer service by embracing the powerful capabilities of generative and agentic AI. The report provides crucial insights on the current and future trends in customer service, based on findings from a global, cross-sector survey of around 9,500 consumers and 500 agents and supervisors, as well as 1,000 executives.

Download the report to learn about the key issues and opportunities that can drive transformation in customer service, including:

• Elevating customer service from a support function to a strategic value driver: With 65% of executives saying their organizations face low operational efficiencies in the customer service function, and only 16% of surveyed agents reporting overall satisfaction with their roles, there is a clear need to transform the customer service function, and recognize its strategic role in driving brand perception, loyalty, retention – and revenue.
• Gen AI and agentic AI are a game changer for transformation: 70% of customer service agents report a reduction in overall workload through using the technology, while 24% of organizations report reduced operating costs, and 31% report faster response times. These benefits are expected to grow as organizations recognize the burgeoning strategic importance of customer service, and the role that Gen AI and agentic AI can play in improving customer satisfaction, agent experience, and operational efficiency.

As Gen AI advances from copilots to reasoning AI agents, it unlocks unprecedented opportunities to elevate customer service, by autonomously handling routine tasks, and enabling human agents to transition from support roles to specialized positions focused on enhancing customer experiences. However, it is important to note that this is not merely a technological revolution; it is an organizational shift that demands a complete redesign of customer service from the ground up.

To learn more about the current and upcoming trends in customer service, including evolving customer expectations, and the role of AI in unlocking the commercial potential of customer services, download the Unleashing the value of customer service report today.

The telecom sector is embarking on a journey towards autonomous networks.

While most telcos (84%) currently reside at Level 1 or Level 2 autonomy for their overall networks, aspirations for higher levels of automation remain optimistic. Over 60% of operators aim to reach Level 3 autonomy or higher by 2028. However, the path to full autonomy is fraught with challenges, both technological and organizational.

In this ��ѻ��ý Research Institute report, ranked No 3 by Source Global among 400+ reports in 2024, Networks with intelligence: Why and how the telecom sector should accelerate its autonomous networks journeys, we provide comprehensive insights into the importance of autonomous networks for telcos and how these autonomous networks are best implemented.

The report found that some of the biggest obstacles hindering progress toward autonomy are the mindset of employees, integration issues, and regulatory concerns around data sovereignty.

Despite these – and other – challenges, there is no denying that autonomous networks offer significant benefits to telcos. Over the past two years, operators have already realized a 20% improvement in operational efficiency and an 18% reduction in network operation expenditure (OpEx) through autonomous networks initiatives. Additionally, 71% of operators have reduced energy consumption during this period, while they expect to lower greenhouse gas emissions by 30% over the next five years.

Networks with intelligence: Why and how the telecom sector should accelerate its autonomous networks journeys also found that telcos anticipate investing an average of $87 million in autonomous networks over the next five years, with estimated OpEx savings of $150 million-$300 million per organization during this period. Furthermore, the return on investment (ROI) of autonomous networks initiatives ranges from 1.7x to 3.4x, with a payback period of between 2.9 to 1.5 years in conservative and optimistic scenarios, respectively.

The most recent report from ��ѻ��ý Research Institute’s data-powered enterprises series highlights the surge in organizations unlocking value from data for business and financial gains.

The report, Data-powered enterprises: The path to data mastery, is based on surveys of 500 data executives and 500 business executives. It found that two-thirds of executives say that their organization now leverages this data for new products or services.

The report also found that while some challenges identified in the 2020 edition of the research persist, they have diminished, and new priorities—such as generative AI—have emerged.

According to the report, 60 percent of organizations have implemented pilots or early proofs of concept (PoCs) for generative AI initiatives using their enterprise data. However, 75% of organizations say that large-scale deployment of generative AI PoCs is a significant challenge.

Data-powered enterprises The path to data mastery also examines organizational readiness to incorporate generative AI into their processes. Only 40% of data executives believe their organizations are mature enough on non-technical foundations (such as culture, ethical guardrails, governance mechanisms, legal and regulatory frameworks) to harness generative AI. In contrast, over half (56%) consider themselves mature on technical foundations (data, technology, infrastructure, and technical skills).

The path to becoming a data-powered enterprise has become more demanding as the range of data use cases continues to expand. To find out more, download the full report.

Redefining what’s possible with generative AI – securely, responsibly, and at scale

��ѻ��ý and Mistral AI are transforming the future of enterprise AI. Our strategic partnership aligns with Mistral AI’s breakthrough open-weight models – designed for transparency, performance, and adaptability. Together, we empower organizations in highly regulated industries to harness the full potential of generative AI with confidence, speed, and purpose.

A shared vision for scalable, responsible AI

We’re united by a common goal: to make generative AI accessible, adaptable, and sustainable. Mistral AI’s open-weight, high-performing models are engineered for enterprise-grade use, offering unmatched multilingual capabilities, customization potential, and flexible deployment options – including on-premise environments for clients with strict data sovereignty and compliance needs. ��ѻ��ý brings deep industry expertise, transformation capabilities, and a global delivery footprint to help clients scale Gen AI responsibly.

The CEO corner

The ��ѻ��ý Research Institute spoke to Arthur Mensch, CEO, Mistral AI, and Aiman Ezzat, CEO, ��ѻ��ý

Explore the interview