Harnessing AI with Speed and Purpose: Building the Generative Enterprise of the Future

Despite its vast promise, many organizations are struggling to leverage generative AI (GenAI) to drive real outcomes. Our recent study, conducted with HFS Research, highlights a growing divide between those who dream of GenAI’s potential and those actively using it to drive transformational change. Dreamers are caught in an endless loop of proofs of concept (POCs) and pilot projects, while doers are embedding AI into their operations to create measurable value.

Key Insight:

While every enterprise in the HFS/Tech Mahindra study plans to deploy GenAI within 12-18 months, only 35% have advanced beyond theoretical models to deliver real, measurable impact.

Over the past decade, enterprises have embraced the digital revolution, leveraging cloud computing, data-driven insights, and automation to enhance efficiency and foster innovation. However, the generative enterprise of the future promises something far more dynamic—an environment where businesses are not only more creative, but also more perceptive, autonomous, productive, and conscious. 

GenAI is driving this transformation – it enables information perception and cognition to allow for decision making, as well as synchronous and asynchronous actions, enhancing efficiency.

It’s not just another technological upgrade – it’s a reset button, fundamentally altering how businesses operate and deliver value.

From Dreaming to Doing: 3 Key Strategies for Building the Generative Enterprise of the Future

1. Make AI the Backbone of Your Business

   For AI to deliver transformational outcomes, it must be more than a supplementary tool. It should be deeply integrated into the core of your business, aligning with your values and operational processes. A prime example is the collaboration between Tech Mahindra and a global automotive manufacturer, where advanced safety analytics and omnichannel communication overhauled the recall management system, resulting in several million dollars’ worth of savings in warranty cost and enhanced customer satisfaction through predictive analytics and real-time updates.

   By aligning AI initiatives with the values that define your business, you can achieve outcomes that go far beyond efficiency gains.

   Another proven strategy for driving AI adoption across the enterprise is the creation of a Center of Excellence (CoE) that brings together the expertise, resources, and governance necessary to ensure cohesive implementation of AI initiatives.

   A notable case in point is Tech Mahindra's collaboration with a leading multinational energy company, to improve operational efficiency and foster data-driven decision-making. Together, they established a CoE to implement robotic process automation, process mining, and hyperautomation. This initiative has delivered operational savings of over several million dollars, with more than 240 bots now in production, automating tasks across departments such as finance, supply chain management, HR, and customer care. 

   A CoE, built in partnership with a technology services provider, can be the catalyst for real, impactful AI implementation across the organization.

2. Revolutionize Human-Machine Interaction

   Gone are the days of rigid workflows. In the generative enterprise, static systems are replaced by dynamic agentic solutions—intuitive interfaces that can adapt, learn, and respond to user intent in real time. 

   A prime example of this transformation can be seen with a global network solutions provider that integrated intelligent agents into its proprietary dashboard tool. This new interface, functioning as a conversational, problem-solving assistant, dramatically improved the efficiency and accuracy of network operations.

   Tech Mahindra played a pivotal role in this evolution, helping the provider revolutionize its network management system. The introduction of agentic workflows not only delivered significant time savings through automation but also substantially boosted productivity and decision-making accuracy.

   Powered by GenAI, these intelligent systems are poised to reshape industries by fundamentally changing how we interact with technology. Adaptive, intuitive interfaces are game-changers for productivity, user experience, and operational effectiveness illustrating the profound impact of AI on modern enterprises.

3. Reimagine Global Supply Chains with AI-enabled Solutions

   In recent years, geopolitical instability and economic disruptions have exposed the fragility of global supply chains. A major issue facing global supply chains is their overreliance on the Asia-Pacific region. For example, 70% of commercial shipbuilding occurs in this region, and Taiwan produces 92% of the world’s most advanced chips. This overreliance has become unsustainable, pushing companies to rethink their global sourcing strategies. With GenAI, businesses can not only address these vulnerabilities, but also build more resilient and adaptable supply chain ecosystems.

   GenAI is helping businesses change their approach to supply chain management by enabling smart factories that can optimize operations and respond to disruptions in real time. For example, predictive analytics in smart factories can reduce lead times, lower costs, and enhance operational agility. Similarly, AI-powered supply chains can suggest alternative suppliers, adjust logistics, and forecast potential disruptions before they happen.

Your Playbook for Action

To successfully adopt AI with speed and purpose, enterprises must focus on three key areas:

1. Align AI with your core business strengths: Harness the capabilities of AI to amplify what makes your organization unique.
2. Rethink human-machine interactions: Build intelligent agentic systems that learn and evolve with your business needs.
3. Tackle global supply chain challenges: Use GenAI-driven solutions to adapt and thrive in a shifting geopolitical and economic landscape.

With AI advancing at an unprecedented pace, it’s easy to get trapped in an endless cycle of theoretical models. But if you continue dreaming about the technology’s potential, you will be left behind, while the doers - enterprises that have already embedded GenAI into their DNA - reap the rewards by delivering real, measurable value. The generative future will belong to those who act now. It's time to stop watching the revolution from the sidelines and start leading it.