By Mankiran Chowhan
We’re at a pivotal moment as agentic AI – autonomous AI agents that can act, decide, and drive positive outcomes without constant human intervention – transform business operations. We’ve entered the Agentic Enterprise – a new way businesses operate. In this era, every company of every size and in every industry will combine human expertise with AI agents to operate with greater speed, scale, and precision.
Agentic enterprises represent a profound shift in how work gets done, leveraging AI to augment not just individuals, but entire businesses. This creates new capabilities, revenue, and ways of working across teams, departments, and the enterprise as a whole. This presents a significant opportunity, poised to become a $6 trillion digital labour market. India, too, is moving rapidly, with AI projected to contribute nearly $500 billion to its economy by 2025. The vast majority of CIOs globally, 84%, believe AI will be as significant to business as the internet; however, successfully navigating the complexities of this technology is crucial to realising its full potential.
As AI solutions flood the market, CIOs need solutions that deliver tangible quality and productivity, moving beyond flashy demonstrations. Measuring ROI is crucial for agentic AI deployments. By tracking key metrics like revenue growth and cost savings, businesses can optimise their AI strategies and maximise returns. This enables organisations to prioritise high-impact AI projects and drive sustainable growth. To navigate these hurdles and maximise ROI, CIOs should focus on the following strategic pillars.
Develop a strategic and integrated AI approach: Instead of pursuing isolated AI projects, CIOs should adopt a pattern-centric approach, identifying common processes and patterns across the organisation to ensure scalable optimisation and better ROI. It’s crucial to treat AI as an integrated layer of intelligence, rather than just a niche tool. This requires cultivating a culture of experimentation from the top down to foster widespread acceptance. A deeply unified platform for building and deploying agents can significantly boost operational optimisation, reduce security risks, and cut costs.
Establish a data foundation: An AI agent’s effectiveness is directly tied to the data it can access. Every AI transformation begins with preparing the underlying technology. Organisations need a system to connect valuable business data and metadata, providing agents with the necessary context. Data standardisation is a must. CIOs should lead initiatives to ensure data is clean, consistent, and readily available, breaking down silos and modernising infrastructure. With robust data governance and integration, this can also unlock valuable insights from archived data. Government-led digital public platforms such as India Stack, ONDC, provide a strong foundation for enterprises to leverage agentic AI in different ways.
Ensuring responsible and trustworthy AI: In regulated industries such as finance, healthcare, and government, CIOs face unique pressures to ensure responsible AI use and meet strict compliance requirements. In India, this includes navigating evolving policies such as the Digital Personal Data Protection Act (DPDP Act) and forthcoming Digital India Act. Building trust in technology is key. This trust is built upon transparency (seeing what the agent did), explainability (understanding why it did it), and control (knowing what to do next).
Aligning AI with business goals and demonstrating value: Technical prowess alone is not enough; CIOs must align AI initiatives with overarching business goals. They should clearly articulate how AI drives growth, enhances efficiency, and improves experiences for both customers and employees. By focusing on tangible outcomes, CIOs can demonstrate that AI is a strategic asset, not a novelty. Transparently communicating the purpose and benefits of digital labor is crucial, highlighting how automation can relieve repetitive tasks and boost employee satisfaction.
Manage the human element of AI adoption: CIOs also act as chief education officers, proactively addressing cultural resistance and fostering innovation. Natural concerns about job displacement and workflow disruption need to be addressed by explaining how AI will augment human capabilities, freeing employees for higher-value, creative, and strategic tasks. Identifying change agents within the organisation can further boost adoption from the bottom up.
India is a pool of young talent, and with government-led initiatives such as Skill India, CIOs have the opportunity to integrate reskilling into workforce strategy. Teaching employees AI literacy and how to collaborate with agents, alongside crucial ‘human’ skills like adaptability, collaboration, and emotional intelligence, is essential. Setting measurable goals for reskilling underscores its importance.
Addressing employee skepticism by sharing the wins and demonstrable value of digital coworkers, such as improved first call resolution, is vital. Gamification and incentives can also motivate employees to embrace AI.
To unlock the full potential and ROI of agentic AI, CIOs must adopt a strategic, holistic, and human-centric approach. By integrating AI with data and automation and embracing a future where AI and human intelligence work collaboratively, CIOs can navigate complexities, foster innovation, and lead their organisations to unprecedented efficiency, and long-term success.