Artificial intelligence has entered the workplace at remarkable speed. Employees are using it to write, summarise, analyse, research and make decisions. But there is a growing gap between using AI to do work faster and actually redesigning work around AI.
Workday’s India research captures this paradox. Employees are clearly seeing the benefits: 89% say AI has improved their day-to-day work experience, while 69% say it reduces the time needed to complete tasks.
Yet underneath those productivity gains, much of the old workplace remains intact.
Employees are still moving information between systems, coordinating across teams and reconciling data that does not always agree. Nearly three-quarters of Indian employees say decisions are delayed when information is missing or unclear, while 66% say teams often disagree over whose numbers are correct.
AI may be accelerating individual tasks without removing the friction between those tasks. McKinsey’s July 2026 research says that simply having more employees use AI does not necessarily create enterprise value. The companies moving further ahead are “redesigning and rewiring workflows around what the technology makes possible” rather than simply automating existing processes. It describes the progression from individual adoption to workflow automation to fundamental reinvention of roles, workflows and operating models.
And that is the next challenge for enterprise AI. For many organisations, AI has been introduced as another layer on top of existing processes. It is a tool employees can call upon when they need to draft a document, summarise information or answer a question. But the underlying workflows—the approvals, handoffs, reconciliations and disconnected systems—remain largely unchanged.
This creates what a Workday survey calls as the “copy-paste economy” wherein employees use AI to work faster, but still spend time stitching together the systems that AI has not yet connected. The bigger opportunity is to move from AI-assisted work to AI-integrated work.
The survey offers a glimpse of what that looks like. Indian employees are already using AI agents for activities such as monitoring metrics, assisting onboarding, routing cross-departmental approvals, budgeting and forecasting, and supporting financial close and reporting.
The difference is important. In the first model, AI helps the employee do a task. In the second, AI becomes part of the process itself.
Workday’s research describes this as the difference between lower and higher AI readiness. In less mature organisations, AI is used for isolated task improvements and the human remains the glue. In more AI-ready organisations, agents can own defined steps within an end-to-end process, while humans retain judgement, oversight and responsibility for exceptions. The system becomes the glue.
This shift requires more than buying better AI tools. It requires organisations to address the foundations that sit underneath them—data quality, governance, fragmented systems, skills and processes. The survey identifies all of these as barriers to extracting greater value from AI.
And that may be the real lesson from India’s AI adoption story. Even as AI enters the workplace, the question remains whether organisations are prepared to change the workplace for AI.
Because the real transformation will not happen when employees have more AI tools at their disposal. It will happen when organisations redesign the workflows around them—so that people spend less time moving information and coordinating systems, and more time doing the work that actually requires human judgement, creativity and expertise.
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