When I ask Jito Chadha what slows organizations down, he doesn’t hesitate. “I think one of the biggest problems that they have is the latency in getting information,” he says. Juniors, he explains, are often saddled with the manual work of collecting and decoding data, while permissions sit higher up the chain. That friction… the waiting, the back-and-forth… costs businesses speed and focus.
Chadha, CEO of Nventr, has spent years building systems designed to strip out that lag. He describes workflows like a pinball machine, with data bouncing between departments, approvals, and applications. His vision is for AI to catch the ball at every bounce: permissions managed, insights surfaced, slides drafted in hours, not weeks.
As Chadha puts it, the future is an AI “operating system” for business. Which is why our first question was about the challenges organizations face in keeping pace with modern demands.
Q&A With Jito Chadha
Q
What do you see as the biggest obstacle holding companies back from operating at the pace they need today?
A
Jito Chadha: I think the real obstacle is fragmentation. Most companies are stitched together from dozens or even hundreds of systems that were never designed to work together. Every department has its own stack, its own tools, and its own way of handling data. That creates silos, duplication, and a lot of unnecessary back-and-forth. Instead of information flowing cleanly, it gets stuck in handoffs, approvals, or just the friction of people using different systems. That fragmentation is what keeps organizations from moving as fast as they should.
Q
How do you see technology evolving to meet those challenges, and where does AI fit into that picture?
A
Jito Chadha: We are heading into a completely new interface of humans and computers. In the past, organizations were built on SaaS products. You had licensing, single sign-on, an app for HR, an app for chat, and another app for expenses. Every organization became a collection of hundreds of apps, and you had expensive licenses for every seat you needed. At the end of the day, all these apps are just forms of data being filled out, processed, approved, and stored in databases with a UI showing the state of that information.
What we are realizing now is that if you connect raw data to an organization and put AI in front of it, with the permissions and general rules you want, the AI can handle the rest. You no longer need all those rigid, siloed apps. You only need one well-designed, centralized AI layer to help you navigate the data and the workflows. That is the direction technology is going, and it will define how enterprises run going forward.
Q
What role do you think secure data management and permissions play in building real trust around AI adoption inside companies?
A
Jito Chadha: If you intend to run a competitive organization in today’s modern age, you need to be AI-empowered. But adoption needs to be done carefully, because if you expose your enterprise data to AI in the wrong way and create a mishap with your business or your customers’ data, you are then in jeopardy.
Employees are already using AI tools in unsanctioned ways, like uploading PDFs, agreements, and Excel files into third-party networks without oversight. Instead of chasing policies and approvals for every new tool, you need a way to centralize them. With the right framework, the tools and workflows are certified, and the data permissions are designed by role. That allows team members to optimize their jobs fully, but in a way that protects the company’s data.
Q
Can you give an example of how you are building toward this future of AI-powered workflows?
A
Jito Chadha: Every company already runs on a set of recurring workflows. Some happen through apps, some through email, some through in-person conversations. They all have rules, fixed inputs and outputs, and a chain of people involved.
The problem is that work stalls as information moves from one department to the next, waiting on permissions, approvals, or manual steps. What we are working toward is an environment where AI catches the ball at every bounce. Permissions are handled, insights are surfaced, and work moves through the system without stalling. That is how you turn AI from a side tool into the backbone of how an organization operates.
“Businesses that embrace it will operate faster, safer, and smarter, and they will have the potential for exponential growth because the entire organization is empowered by AI” — Jito Chadha
Q
Can you share an example of how workflows inside a business can be transformed once AI is implemented thoughtfully?
A
Jito Chadha: Take something as simple as creating a PowerPoint. Normally it starts with research, then pulling the KPIs, charts, dashboards, and tables. You might need database access, permissions, and a lot of back and forth just to gather the inputs. Then you build charts in Excel, extract insights, and put everything into slides with themes and graphics. That process can drag on for weeks.
With AI in place, the whole workflow compresses to hours. The slides are sharper, discussions happen sooner, and teams spend less time chasing inputs. Junior employees are no longer bogged down in manual tasks and can focus on higher-value work. That one example shows how an AI-driven workflow can reset both the pace and quality of work inside a company.
Q
What does it take for an organization to move from experimenting with AI tools to actually running as an AI-powered enterprise?
A
Jito Chadha: Every organization is made up of relatively recurring, highly patternized workflows that define what they do. When you start connecting all of that data to an AI framework, the organization begins to run differently. You are not just layering AI on top. You are making AI the operating system that drives everything inside the company, so that the workflows are unified and optimized rather than fragmented across separate apps and manual steps.
Q
Looking ahead, what kind of future do you envision for businesses that fully embrace this new way of working with AI?
A
Jito Chadha: I think everything is becoming an agent. Structured workflows will always exist in the background, but the future is agentic workflows where you can just talk to the system in real time. Instead of emailing HR or logging into an app to call off sick, you talk to the dedicated chat bot for your role, and the company’s policies automatically carry that update to the right people. When a salesperson makes a call through the system, it can automatically transcribe the interaction, take notes, and maintain the state of that customer’s sales process.
You end up with one system that feels like a crystal ball for the organization. It connects all the data, understands the workflows, and responds instantly to what employees need. That is the kind of future I see. Businesses that embrace it will operate faster, safer, and smarter, and they will have the potential for exponential growth because the entire organization is empowered by AI, not just certain departments or individuals.
Follow Jito’s Journey
Who is Jito Chadha?
Jito Chadha is the CEO of Nventr, where he is leading the development of agentic workflows that empower organizations to become fully AI-driven enterprises. With a background in building structured and unstructured workflow systems, he has focused on reducing latency, securing data, and creating platforms that optimize entire org charts. His work emphasizes both top-down efficiency for leadership and bottom-up adoption by junior employees. Under his leadership, Nventr is positioning itself at the forefront of the shift toward AI as the new operating system of business.
