Enterprise AI Readiness: A Roadmap for Achieving Productivity Gains

Infosys Research Reveals Companies Anticipate Up to 40 Percent Productivity Gains from Enterprise AI

A recent report from Infosys highlights the significant productivity potential that enterprises attribute to Artificial Intelligence (AI). The study indicates that companies are looking forward to an average productivity boost of 15 percent from their current AI initiatives, with some anticipating gains of up to 40 percent. However, despite this optimistic outlook, the report reveals a concerning lack of readiness among organizations to effectively implement enterprise-wide AI solutions.

Key Findings

• Limited AI Readiness: Only 2 percent of organizations surveyed are fully prepared across five essential dimensions: talent, strategy, governance, data, and technology.
• Technology Gaps: A mere 9 percent of companies possess the necessary AI frameworks and tools, indicating a critical gap in technological readiness.
• Data Access Challenges: Only 10 percent of organizations report easy access to data for their AI projects, which hampers implementation.

Five Steps to Bridge AI Readiness Gaps

To address these challenges, the Infosys report outlines a comprehensive five-step plan that organizations can follow:

1. Develop a Comprehensive AI Strategy:
   • Just 23 percent of respondents have a robust AI strategy aligned with their business objectives. Developing a clear roadmap for AI integration is crucial for success.
2. Establish Responsible AI Governance:
   • Only 10 percent of companies have well-defined governance processes in place to manage AI risks. Infosys emphasizes the importance of responsible AI practices to ensure data security and mitigate potential risks.
3. Upskill the Workforce:
   • Despite AI’s importance, only 21 percent of respondents believe their employees possess the necessary knowledge to utilize AI tools effectively. Furthermore, only 12 percent receive adequate training. Organizations must invest in upskilling initiatives to prepare their workforce for AI adoption.
4. Prepare Data Infrastructure:
   • With only 10 percent of companies reporting easy data access and 30 percent rating their data accuracy as poor, enhancing data governance and infrastructure is essential for successful AI implementation.
5. Cultivate a Culture of Innovation:
   • A mere 9 percent of organizations are fully prepared to foster a culture of innovation. Investments in foundational technologies, such as machine learning and automation, are vital for improving customer experiences and reducing operational errors.

Expert Insights

Mohammed Rafee Tarafdar, Chief Technology Officer at Infosys, stated, “To become enterprise-wide AI-ready and realize the promise of this technology, including generative AI, it is imperative to establish a robust and scalable foundation. Our research indicates that data readiness, an enterprise generative AI platform with responsible AI guardrails, and AI talent transformation are key to accelerating AI development across organizations.”

Jeff Kavanaugh, Head of the Infosys Knowledge Institute, added, “The readiness gap represents both a challenge and a massive opportunity. Those who act now – by building a clear AI strategy, establishing strong governance, and upskilling talent – will lead the next wave of innovation and fundamentally reshape their industries. AI is not a distant goal; it is the prerequisite foundation for future competitiveness.”

Conclusion

The findings of the Infosys report underscore a significant opportunity for organizations willing to invest in their AI readiness. By addressing the identified gaps and following the outlined steps, companies can harness the transformative power of AI to drive productivity and innovation in the evolving digital landscape. The time to invest in AI readiness is now, and those who do will be better positioned to thrive in the future.