By: Connie Etemadi
Everyone’s talking about AI right now. But much of the conversation isn’t necessarily helpful, especially for businesses trying to separate what’s feasible, what’s useful, and what truly drives sustainable results.
Amit Singh, founder of evince Consulting, is not swayed by the AI hype. As an advisor to enterprise and government clients, he focuses on what AI can accomplish when implemented thoughtfully.
Currently, he believes that the real opportunity lies in agentic AI, which many businesses still struggle to fully grasp. “Most AI waits for prompts — you ask, it answers,” says Amit. “Agentic AI doesn’t wait; it understands your goals, makes decisions, and acts like an autonomous employee. It’s proactive, not reactive.”
According to Gartner, by 2029, agentic AI is expected to handle a significant portion of routine customer service issues autonomously, potentially reducing the need for human involvement and operational costs.
Most AI tools today react to prompts, where you ask a question and it gives an answer. But agentic AI is designed to work more like an employee or even a team — understanding your goals and making decisions, executing tasks independently. It can manage workflows, update dashboards, pull reports, and trigger actions across various systems.
But many businesses are either concerned about the risks or are thinking too narrowly. Amit highlights that rushing into AI without a clear plan often leads to wasted time, money, and trust, especially when building solutions that aren’t utilized or fully understood. Or worse, poor practices become ingrained and can be difficult to reverse later on.
Amit frequently sees businesses approach AI as a technical solution when it should be considered a business capability. The first step is establishing a clear vision for AI’s role within the organization. This clarity enables better decision-making, such as understanding how much risk to take and how much change the organization is willing to manage. He notes that one of the most common mistakes is treating AI as a technical project instead of a leadership challenge. “Without a clear vision, there is often too much focus on tools and not enough attention on training, tone, or governance — leading to adoption issues. The result is fragmented pilots with limited scalable impact,” he shares.
Agentic AI requires critical thinking, strong leadership, and the right environment — both technically and culturally — to succeed. Amit predicts that some organizations will make early investments in agentic AI and see long-term benefits. “Others will try to follow suit, but 1-2 years isn’t a lot of time in enterprise terms; meaningful change takes time, not just in terms of technology but also due to the challenges of people and organizational culture,” he explains. “Just like the advent of Cloud, a few will lead the way, while most will struggle with culture, structure, and execution.”
For Amit, everything starts with alignment. Before crafting solutions, he works with clients to clarify their goals, challenge assumptions, and define a clear intent for AI’s role in their business. Through his Unrealistic by Design workshop, he helps teams think beyond short-term wins and instead focus on where agentic AI can add lasting value.
This isn’t about chasing the latest tools or automating for the sake of it. Amit’s focus is on purposeful application — using agentic AI to work smarter, faster, and more effectively. “Agentic AI is still emerging, and most enterprises haven’t made substantial progress yet. What I’ve helped them do is create a clear, realistic vision for how they can implement this technology securely and effectively over time,” Amit says. “That clarity has been key in helping them fast-track ambitions that once seemed distant or unattainable.”
He views this as the next wave of competitive advantage: not just using AI to do more, but aligning it with strategy, integrating it into operations, and allowing teams to focus on what truly matters.
