How do you define Scalefusion’s core product philosophy?

Our solutions should feel intuitive, not intimidating.

The pattern we saw inside IT teams was subtle but consistent. The challenges were rarely dramatic; they were the small, everyday issues that quietly accumulated. Not because the tools were bad, but because there were simply too many of them. A single policy change could trigger a ripple effect across a stack of disconnected solutions.

You could argue for deeper integrations, but integrations don’t change the DNA of each product. They still weren’t designed to function as “one.”

So, we brought the core of IT into a single 360 degree solution, where device management, identity, access, and security operate from the same foundation. When that came together, the usual friction points disappeared: unpredictable device behavior, unnoticed access gaps, late compliance checks, and tools that refused to speak the same language.

Our approach is to treat device management, identity, access, and security as one continuous system.. Because in reality, an issue in one area immediately impacts the others. When IT sees everything in context, decisions become faster, responses become consistent, and the environment becomes predictable.

What are the key problems you aim to solve for IT teams and enterprises through Scalefusion’s unified platform?

The complexity of modern IT doesn’t come from devices alone,  it comes from the combinations of devices, identities, access points, networks, apps, and compliance expectations that IT must manage simultaneously. Most teams are forced to jump across tools just to complete what should be a single workflow.

The first problem we aim to solve is fragmentation. IT shouldn’t need one tool for devices, another for access, a third for compliance, and a fourth for monitoring. That fragmentation creates blind spots, delays, and operational fatigue.

The second is context. Knowing “what device” is being used is never enough. CIOs need to know “who is using it, from where, and under what conditions.” That shift has made identity and access inseparable from endpoint management.

Scalefusion unifies these layers, device posture, user identity, access conditions, and compliance, into one operational flow. Instead of treating these as independent problems, we treat them as interconnected responsibilities. The result is clearer visibility, fewer moving parts, and far more predictable IT operations.

How do you strike a balance between innovation and customer-centricity while shaping product direction?

The answer here is short, because it is that simple: we don’t build a product or a feature in isolation. Everything we create is shaped by the people who use it every day.

What we observed early on is that customer needs rarely arrive as grand declarations. They show up as patterns, recurring behaviours, and with repeated friction they face. Sometimes they appear as a single request that represents a hundred unspoken ones. That’s the real voice of the customer, not just feedback tickets.

So our innovation strategy grew from that reality. We treat customer-centricity as the ground we stand on. However, we are also well aware that customer-centricity isn’t only about responding to a distressed rocket flare.

There’s also a responsibility to predict. Many of the features customers value today began as gaps they couldn’t articulate yet. So, we often need to take one step back, analyse how they work, figure out what’s missing, and then take two steps forward by giving them a feature or a solution they didn’t even know they needed yet. That’s when you hit the sweet spot of “innovation.”

To stay on the innovation wheel, we observe how IT environments evolve, how responsibilities shift, how “nice-to-have” quickly becomes “non-negotiable,” and we build ahead of that curve. That’s still innovation and product direction but based on customer-centricity that is also future-focused.

How is Scalefusion leveraging AI, ML, and automation to enhance the capabilities of its UEM platform?

AI and automation are pushing UEM into a space where issues are anticipated long before they become problems. That’s what the next wave looks like.

IT teams were spending far too much time fixing what had already gone wrong. Troubleshooting, patching, correcting, repeating. Necessary work, but not strategic work. And the cost wasn’t just operational fatigue; it was opportunity lost.

AI is set to change that dynamic completely. Instead of waiting for something to break, the system begins to understand patterns: how devices behave, where risks typically emerge, what actions follow which symptoms. It lets teams automate responses that used to need human help, such launching custom scripts, separating suspicious devices, enforcing policies as soon as a deviation is found, and bringing up insights that help make decisions instead of merely logging occurrences.

When AI handles the repetitive and the predictable, IT teams finally get space to focus on what actually moves the needle: strengthening security posture, planning infrastructure, improving user experience, and driving initiatives that shape the organisation’s future rather than reacting to its present.

Could you elaborate on how Scalefusion integrates security, compliance, and productivity within a single ecosystem?

Security, compliance, and productivity are often treated as competing priorities. In reality, they influence one another every day. A secure device is meaningless if access is compromised. Compliance is unreliable if device posture is inconsistent. Productivity suffers when security and compliance are not aligned.

Scalefusion integrates these layers by grounding them in the same context, the same device posture, identity state, and access conditions. When IT defines a policy, that policy applies across the entire flow: from the device a user holds, to the identity they authenticate with, to the app they attempt to access.

This alignment removes the need for separate tools and reduces the chance of contradictory policies. It gives IT a single source of truth, a single policy engine, and a single operational model.

From your perspective, how are Indian enterprises evolving in their approach to device and endpoint management?

Indian enterprises are becoming far more intentional about endpoint maturity. Earlier, device management was seen as a hygiene practice, something to enable only when the scale demanded it. Today, with hybrid teams, distributed devices, and growing regulatory expectations, endpoint management has moved from “good to have” to “critical infrastructure.”

What’s notable is the shift toward integrated platforms. IT teams don’t want multiple vendors for devices, access, and compliance. They want the operational simplicity of a unified ecosystem.

We’re also seeing higher expectations around visibility. Enterprises want real-time posture, identity-linked access monitoring, and clear audit trails. This is driving demand for platforms that can combine UEM, IAM, and compliance without complexity.

Overall, Indian enterprises are progressing quickly, focusing on predictability, security, and operational efficiency as their environments scale.

What’s Scalefusion’s strategy for maintaining product agility while scaling globally?

Agility at scale comes down to one golden rule: stay close to your markets. Our strategy delivers on this through robust geo-specific channel ecosystems. Local partners are much closer to regional regulations, business expectations, and customer maturity than any centralized team could ever be.

We have created dedicated channel and sales structures regionally, allowing us to partner with our customers for faster, deeper enabling and local market alignment. This is one way we are able to maintain our agility with the consistency of our core product direction.

The global strategy is simple: adapt to local contexts, but keep the value proposition universal, predictable operations, and unified management.

How do you envision the future of endpoint management over the next 3–5 years?

Endpoint management will move toward continuous, context-aware automation. Instead of IT detecting issues manually, environments will analyze user behavior, device posture, location, and risk signals in real time, and take corrective action automatically.

Identity and device posture will become inseparable. Access decisions will be influenced by live context, not static rules. Compliance will shift from periodic checks to ongoing verification.

Hybrid work will continue to expand, making unified platforms essential. Organizations will prefer solutions that combine device, identity, access, and compliance into a single operational flow.

In short, endpoint management will evolve from a reactive function into a proactive, intelligence-driven system that supports business continuity and reduces the operational burden on IT teams.