Artificial intelligence with generative and agentic AI – the defining transformation of our time. â€‹

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 ÎÚÑ»´«Ã½ 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 ÎÚÑ»´«Ã½â€™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

ÎÚÑ»´«Ã½ 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

3-year partnership with Peugeot Sport

In April 2022, we signed a multi-year partnership with to provide the PEUGEOT 9X8 FIA WEC program team with advanced digital tools. ÎÚÑ»´«Ã½ partnered with Peugeot Sport to accelerate and optimize the development of its hybrid hypercar, the Peugeot 9X8, competing in the World Endurance Championship (FIA WEC), an international motorsport competition comprising several races, including the .

We are providing the Peugeot Sport teams with our expertise in data analytics and artificial intelligence. This partnership has a strong technological dimension and strengthens our relationship with the Stellantis Group, while bringing to life our shared values ​​and ambitions: to shape the future of mobility through innovative and sustainable solutions.

On February 6, 2025, we renewed our partnership with Peugeot Sport to continue the development of the 9X8 Hypercar. While improving the performance of the Hypercar through data and artificial intelligence remains at the heart of the partnership, we wish to strengthen our collaboration around improving Peugeot Sport’s carbon footprint.

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 ÎÚÑ»´«Ã½ 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 most recent report from ÎÚÑ»´«Ã½ 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.

While we observe an unprecedented enthusiasm from business leaders around generative AI (gen AI), it is crucial to understand how it transforms the way organizations operate.

As gen AI continues to evolve and mature, we expect even more disruption in industries. To stay ahead of the curve and meet the ever-changing demands of their customers and markets, organizations need to select the relevant use-cases and adopt best practices while ensuring the ethical and responsible integration of this groundbreaking technology. In this report, co-built with Everest Group, we explore where the true value of gen AI lies, considering the potential pitfalls and sharing recommendations on key areas to prioritize.

Gen AI uncovers new frontiers in the digital space

Since its conceptualization, artificial intelligence has been a remarkable technology, revolutionizing industries and redefining human-machine interaction. One such remarkable breakthrough that has captured the imagination of researchers, innovators, businesses, and individuals alike is generative artificial intelligence.

This report starts by delving into the historical context of AI, tracing its origins and fascinating innovations, up until the emergence of gen AI. With this foundation in place, we explore the concept of this technology in length, uncovering its capabilities, the challenges it faces, and the transformative opportunities it presents.

While this technology holds great promise, it also possesses inherent risks such as rising concerns about data privacy, identity theft, and misinformation. Moreover, as AI-generated content becomes increasingly indistinguishable from human-generated content, the responsibility for its consequences becomes a pressing concern.

Gen AI is becoming a requisite for every organization

One thing that clearly stands out is that implementing gen AI is becoming less of a choice and more of a requisite for enterprises to remain relevant in today’s time.

The technology offers an opportunity to reimagine the way we work and unlock new levels of creativity and productivity. Hence, it is important for enterprises to explore its potential benefits and consider ways to integrate these systems into their workflows in a responsible and sustainable manner starting now.

Shaping tomorrow’s mobility and energy

Investment in battery technology is increasing, particularly in the US and Europe. This is due, in part, to the rising demand for electric vehicles and energy storage solutions, and is influenced by an array of geopolitical, sustainability, and technological factors. The battery revolution: Shaping tomorrow’s mobility and energy, the latest report from the ÎÚÑ»´«Ã½ Research Institute, explores the current state and future trends of battery technology, focusing on investment, innovation, sustainability, and the impact on various industries.

This report is based on findings from a global survey of 750 senior executives in the battery, automotive, and energy and utilities sectors, spanning North America, Europe, and Asia-Pacific. The battery revolution: Shaping tomorrow’s mobility and energy also includes insights drawn from in-depth interviews with industry leaders.

Organizations are expected to increase battery recycling – yet two-thirds are still in the initial phases of sustainability initiatives.

Key issues and trends that are examined in the report include:

• Sustainability integration: As sustainability measures become more critical, batteries are emerging as a key factor in decarbonizing carbon-intensive sectors.
• Innovative chemistries: While lithium-ion batteries continue to dominate, the industry is actively exploring alternative chemistries, such as sodium-ion and solid-state batteries, to enhance performance and longevity.
• Changes to the value chain: Significant changes will need to be made in the value chain as battery manufacturers tackle challenges related to cost and profitability, R&D, manufacturing, supply chain resilience, and sustainability. This means that three out of four battery manufacturers will need to update or build new lines to support the production of next-generation cells.
• New business models: Automotive manufacturers are exploring innovative business models, such as battery swapping and battery-as-a-service (BaaS), to address infrastructure challenges and improve cost-effectiveness for electric vehicles.

How can organizations accelerate to a battery-driven sustainable future? Download the report now to find out, and discover more about the battery revolution.

As AI moves from pilot projects to production-scale deployments, organizations are beginning to realize measurable returns.

With an average ROI of 1.7x, AI is no longer a future promise – it’s a present-day performance driver. Leading organizations are unlocking ROI and efficiency through AI-driven business operations.

The ÎÚÑ»´«Ã½ Research Institute’s new report, AI in action: How Gen AI and agentic AI redefine business operations, explores how Gen AI and agentic AI systems are transforming business operations across supply chain, finance, customer service, and people operations. From cost savings to faster decision-making, AI is reshaping the way enterprises operate.

Key findings from the report include:

• AI is delivering real business value: 40% of organizations expect positive ROI from AI within one to three years, and another 35% within three to five years. AI agents are driving improvements in efficiency, accuracy, and customer satisfaction.
• Investment in AI is accelerating: 62% of organizations have increased gen AI spending in 2025, with 36% allocating dedicated capital. Proprietary models are preferred by 77% of executives for their performance and integration capabilities.
• Agentic AI adoption is surging. The use of AI agents – including multi-agent systems – has more than doubled in one year, with 21% of organizations now using them in operations. Production-scale deployments are expected to grow by 48% in 2025.
• AI is reshaping core business functions, delivering cost savings of 26–31% across supply chain and procurement, finance and accounting, and customer and people operations.

AI in action: How Gen AI and agentic AI redefine business operations is essential reading for business leaders, technology decision-makers, governance teams, and investors seeking to understand the transformative potential of Gen AI and agentic AI. It provides organizations with the essential steps for developing AI-driven business operations:

• Build a strong foundation of AI readiness
• Make the workforce AI-ready through change-management and cultural transformation to enable smarter human – AI collaboration
• Develop a strong approach to process redesign to unlock agentic AI’s full potential
• Embrace agentic AI for transformational benefits
• Maintain a sharp focus on cost containment
• Devise a clear strategy for scaling AI across the enterprise.

To discover how AI is reshaping enterprise operations, and learn how to scale AI for lasting impact, download the report today.

New defenses, new threats: What AI and Gen AI bring to cybersecurity

As cybersecurity incidents continue to rise, and threats like phishing, ransomware, and deep fakes become more sophisticated, organizations must strengthen their cybersecurity measures. 

In the latest report from the ÎÚÑ»´«Ã½ Research Institute, New defenses, new threats: What AI and Gen AI bring to cybersecurity, explores the role that AI and Gen AI play in cybersecurity – both as a threat and a means of defense.

Our research shows that over 90% of organizations experienced a breach last year, a significant increase from 51% in 2021. The financial impact of these breaches over the last three years is severe, with around half of organizations reporting estimated losses exceeding $50 million.

Threat actors use AI and Gen AI for more sophisticated attacks, including malware creation, social engineering, and phishing. An overwhelming majority (97%) of organizations reported security incidents related to Gen AI in the past year. Organizations must contend with an expanded attack surface due to risks such as prompt injection, vulnerabilities in AI-integrated applications, shadow AI, and internal misuse. Further, the entire lifecycle of Gen AI solutions —from enterprise data collection and model customization to development and maintenance —must be secured.

However, despite the cybersecurity challenges related to AI and Gen AI, organizations increasingly rely on AI to strengthen their security measures. Three in five believe AI is essential for effective threat response, and many are seeing improved threat detection times. More than 60% of organizations believe Gen AI will strengthen cybersecurity in the long term.

Many organizations already benefit from AI and experiment with Gen AI to generate threat intelligence and vulnerability assessments.

To safeguard operations, organizations must develop a clear strategy for integrating AI and Gen AI into existing security systems. This means continuously reassessing the security landscape to identify new risks, acquiring necessary infrastructure, including advanced data management systems and cloud computing resources, establishing robust policies and governance to ensure data safety and integrity, investing in AI and Gen AI-based solutions to enhance security operations center (SOC) systems, providing comprehensive AI cybersecurity training for employees, and fostering a culture of risk awareness among employees.

Download the full report to learn more about how AI and Gen AI can transform your cybersecurity strategy.