Organizations have less than two years to maximize generative AI’s potential, yet only 5% are considered generative AI pioneers, according to a recent in-house study. This stark gap between AI ambitions and achievements underscores the urgency of turning experiments into meaningful value. As we head into 2025, organizations face mounting pressure to demonstrate the return on investment of AI to drive enterprise-wide growth.
Recognizing this urgent need and understanding they couldn’t lead clients into the future without first creating a strong internal example, Genpact set out to integrate AI within its own company. This internal vision established a replicable framework to help other companies with similar goals and challenges to bridge the execution gap and achieve AI adoption.
Step 1: Foster an AI-first culture within your organization
To initiate an AI maturity journey, organizations must ensure there is AI acceptance across every aspect of their workforce, from IT to HR. This is no easy feat, as recent research indicates more than half of U.S. employees expressed fears about AI use.
Organizations can get employees on board with AI by empowering them to integrate AI into their daily workflows. Genpact did this by launching Scout, a family of AI agents and making it available to every single employee to boost everyday work. Other organizations can launch similar AI agent ecosystems that can be customized for specialized functions like HR and IT. For example, helping HR manage FAQs, transactions and ticketing. Internal Genpact data reveals the launch of this capability has saved recruiters an estimated 1,500 hours monthly.
Step 2: Instill scalable AI fluency as a non-negotiable
To reach AI maturity, organizations must first cultivate a foundational culture of AI acceptance across departments and then give employees the opportunity to achieve AI fluency. Building a continuous learning environment is essential to encourage AI fluency across an organization, enabling scalable AI.
As companies focus on upskilling and reskilling to meet the pace of change in today’s workforce, they should offer an internal learning platform that every employee not only has access to but is encouraged to use, to help employees learn new ways to incorporate AI into their flow of work. Through launching its own internal AI learning platform, Genome, Genpact has offered 100+ skill modules to employees, resulting in organization-wide AI fluency.
Step 3: Unlock data democratization through actionable insights
The future of business lies in data-driven decision-making. By democratizing data and streamlining access, organizations can unlock critical insights and drive internal innovation, but doing so requires reconsidering a company’s current data management strategy.
In a world of AI maturity, data consolidation, such as a centralized repository of curated data, gives departments across an organization access to the information they need when they need it, driving faster decision-making and improving business outcomes.
As businesses navigate the critical two-year window to harness AI’s potential, full AI maturity can only be met once organizations foster an AI-first culture, scale AI fluency and democratize data for their internal teams. By embracing these principles, organizations can turn AI ambition into enterprise-wide impact, paving the way for sustainable growth and lasting transformation.
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