Kritika 
(C): X
Genpact has one of the most ambitious plans to make all of its employees work as AI Practitioners by 2027. This isn’t just a goal to strive toward; it’s a company-wide transformation strategy that’s at the helm of managers. This is a signal that workers throughout the world should take note of. Creating an AI-ready workforce at Genpact isn’t the only goal; it’s a glimpse of how jobs may look in the future for various industries.
Quick Facts
| Target | Details |
| Target | To have 100% AI Practitioner workforce by 2027. |
| Who’s leading it | Not only L&D or IT teams, but also managers should be included. |
| The biggest barrier identified | Confidence, not capability |
| Learning hours logged (2025) | 3.7 million+ EUROs for 12.5 million+ employees company-wide |
| AI learning share | The average of all learning hours is ~40%. |
| Key internal tool | Scout, an enterprise AI assistant, was created by Genpact. |
| AI Readiness Stages (CAS). | Awareness, Operating readiness and Genuine adoption. |
Why 2027 — and Why It Matters Now
The operating model at Genpact is changing to what the company refers to as Agentic Operations — a model that is based on using AI agents to complete repetitive, rote tasks, and human agents to handle exceptions, judgment and enhance outcomes. It’s not a software update, but a change to the structure.
The CHRO of the company has made it very clear that the skills’ half-life is rapidly decreasing. The last thing employees want to do is get a few months behind because they don’t use AI tools. The Genpact AI-ready workforce goal is not only about the company’s own aspirations, but it’s also a trend throughout Global 2000 companies as they adopt AI.
The 3-Stage AI Readiness Roadmap
| Stage | What It Means | Employees should do the following: |
| Awareness | Knowing what AI is and how it can be used in your job. | Enrol in introductory courses on AI, or use AI tools such as ChatGPT or Microsoft Copilot. |
| Operating Readiness | The opportunity to leverage AI in day-to-day processes. | Use AI – practice with AI – perform real tasks; train in teams. |
| Genuine Adoption | Everything you do every day is enhanced by AI. | Establish practices, disseminate lessons learned, and advocate for change to the workflow. |
The difference between stage one and stage three is understanding and using AI to accomplish tasks effectively and efficiently.
Managers: The Make-or-Break Factor
The key differentiator with Genpact’s approach to a typical AI training deployment is that managers are the ones delivering the training.
The largest challenge to major enterprises regarding workforce is not about capability, according to research cited by Genpact’s CHRO. It’s confidence. While many employees are conceptualising or grasping how AI can be used in their workplace, they may not feel comfortable trying to use it at work.
When managers use AI (with the enterprise AI assistant during a meeting, or when the AI prepares the manager for a decision, for example), they tell their teams that AI is the expected and safe way to work. It is this psychological safety that makes training turn into behaviour.
There are three leadership capabilities that are being emphasised in the aim of achieving the Genpact AI-ready workforce:
- Reflective judgement – managers who develop their own judgment do a better job of developing the team’s.
- Technology fluency – An understanding of enough technology to enable them to be able to identify where AI can add value, but not necessarily become a technical expert.
- Enterprise thinking – relationship between teamwork and broader business results, across functions
What Workers Can Do Right Now
It’s not too late to implement a formal program, but it’s also not too early. This is a good place to begin:
- Build awareness first. There are many courses and explanations about generative AI, the Microsoft Copilot and prompt engineering that are free and available at little or no cost. Even 30 minutes per week and build up on this over months of time.
- Use it in actual tasks. Leverage AI tools to create, summarise, analyse data and prepare reports on actual work. Things don’t stick unless they’re learned concretely.
- Discover your AI champion in the workplace. In every workplace, there are early adopters. Shadow them. Inquire about the tools and how they are used.
- Monitor your own learning. In 2025, Genpact staff completed more than 12.5 million hours of learning, 40% of which were on AI and tech. The difference between proactive and reactive workers is the development of a personal learning routine – even one that is small.
Request that they provide you with some exercises you can do outside of class. AI fluency is developed much quicker through cross-functional projects and challenges in the form of sprints.
FAQs
At Genpact, what does it mean to be an “AI Practitioner”?
It’s about empowering every employee to embrace AI in the way they do their work, rather than just understand it conceptually, but to implement it to drive better results and processes.
Is it required to be technically-minded to become AI-enabled?
No, technology fluency is not about coding or engineering skills as Genpact describes it. It is understanding enough about the field of AI to recognise opportunities and make decisions on where AI can be beneficial.
Which tools should I begin to learn?
A good starting point is to use Microsoft Copilot, ChatGPT, and your company’s AI assistant (if available). Most roles have some of the applications of generative AI productivity tools that are instantly obvious.
Is this only applicable to staff of tech companies?
Not at all. Genpact has operations in finance, operations, supply chain and professional services. The Genpact AI-ready workforce model is applicable to a wider range of enterprise roles, such as engineers.
Key Takeaways
- By 2027, Genpact aims to become 100% AI practitioner-driven, one of the most ambitious enterprise AI adoption goals on record.
- Confidence is the most important thing when it comes to your biggest obstacle, and it’s a problem that managers have a large part in solving.
- There are three phases to AI readiness: awareness, operational readiness and true adoption; most employees are on the first level.
- AI literacy can be developed in a real-task, peer learning, and free tools way, and can begin now for workers.
- The Genpact AI-ready workforce strategy represents a template for where enterprise employment is going — irrespective of industry.
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