Artificial intelligence is being hailed as the next frontier in business efficiency, but for Varsha Ramjugath, Product Owner at e4, one thing is clear: AI can only ever be a copilot, not the driver.
“AI is a powerful tool to support us, but it is not a decision-maker,” she says. “Product ownership is about strategy, empathy and leadership. Those qualities can’t be replicated by algorithms.”
Strategy over shortcuts
Product owners play a unique role in bridging business vision with execution. They must align products to company strategy, balance competing demands and prioritise features based on business impact.
“As product owners, we make tough decisions daily,” Ramjugath explains. “Do we prioritise innovation or stability? Technical debt or new features? User needs or stakeholder demands. AI can highlight trends in data, but it can’t weigh up these trade-offs or persuade stakeholders to back a decision. That requires judgment and influence.”
She adds that product owners often operate with incomplete or conflicting data: “AI relies heavily on historic information. Humans draw on intuition and experience when there isn’t enough data and that’s often when the most important calls need to be made.”
Understanding people, not just data
Beyond strategy, product ownership relies on empathy and contextual understanding.
“Face-to-face engagement with clients reveals needs you’d never pick up in a spreadsheet,” Ramjugath says. “Clients are often more open in person, and you learn what really matters to them. AI can’t replicate that human connection – or the intuition to back a feature because you know it matters, even when the numbers don’t shout it.”
Leadership and trust
Product owners also guide teams through competing priorities, conflicts and ambiguity.
“A good PO inspires and aligns teams around a shared goal,” she notes. “We resolve conflicts through diplomacy, negotiate with stakeholders and build trust over time. People trust people – not algorithms. That credibility and consistency is what keeps complex projects moving forward.”
AI as a copilot
That doesn’t mean AI has no place in the process. Ramjugath acknowledges it has made her role more effective.
“I use AI to analyse large data sets, summarise client feedback, create workflow diagrams, and even generate mind maps during brainstorming sessions,” she explains. “It accelerates tasks and gives us more time to focus on high-value decision-making. But accountability still sits with humans. AI can inform choices; it can’t own them.”
The human edge
For Ramjugath, the lesson is clear: AI will make product owners more effective, but it won’t replace them. “The role sits at the intersection of strategy, empathy, and leadership,” she says. “In legal tech especially, where regulation, compliance, and trust are critical, those human qualities are non-negotiable. AI is a reliable copilot – but it’s the human product owner who must steer.”