How automation is becoming the backbone of profitable managed services

The shift towards recurring revenue is redefining the Indian IT channel. As partners move beyond one-time projects to managed services and subscription-led business models, profitability is increasingly determined by operational efficiency rather than the volume of technology sold. Delivering consistent service while keeping costs under control has become one of the biggest challenges for managed service providers (MSPs), system integrators and channel partners, and automation is emerging as one of the strongest levers for addressing this challenge

By reducing manual intervention, accelerating routine operations and improving service consistency, automation enables partners to scale recurring services without proportionately increasing operational costs. For channel businesses looking to build predictable income streams, the ability to automate service delivery is becoming just as important as acquiring new customers.

According to Bijo Chacko, SVP & Global Delivery Head – Cloud and Infrastructure Services, Visionet Systems, the managed services industry is reaching a point where profitability depends on combining AI, automation and human expertise rather than relying on traditional support models.

"At Visionet, we believe the future of managed services lies in intelligently combining AI, automation, and human expertise. Profitability has always been one of the biggest pressure points in managed services. Customers rightly expect more value, faster outcomes, and increasingly proactive support, while also expecting costs to come down. The only sustainable way to meet those expectations is through automation, and that has been a deliberate strategic priority for us."

To support this strategy, Visionet has developed OpenDesk, its AI-powered managed services platform that combines automation, AI, GenAI-powered support and self-healing capabilities into a unified operating environment.

"Operationally, this means that a significant share of activities that traditionally required human intervention - such as alert triage, first-level diagnostics, and routine remediation - are now handled automatically using AI. Today, around 30% of routine operational tasks are resolved autonomously, while 45% of operational activities are AI-assisted. This not only lowers delivery costs but also improves response times, enabling our teams to focus on more strategic, higher-value work."

For channel partners, one of the most practical applications of automation lies in self-service. Visionet approaches this from two perspectives.

The first focuses on improving the end-user experience. AI-powered virtual agents handle routine IT requests such as password resets, access requests, software installations and common service issues that would otherwise consume valuable service desk resources.

"Today, they are resolved conversationally and almost instantly. Once self-service is fully embedded, we typically see around a 42% reduction in service desk ticket volumes, creating a significant and sustainable reduction in operating costs while simultaneously improving the employee experience."

The second area is infrastructure self-service. Automated workflows allow development teams and infrastructure administrators to provision environments, scale resources, manage configurations and execute operational tasks through self-service portals while remaining within defined governance and security controls.

"What once required multiple requests, approvals, and engineering effort can now be completed in minutes. Across our customer engagements, this has translated into a 45–50% improvement in infrastructure provisioning efficiency, while also reducing configuration errors that often lead to downstream incidents."

Beyond improving efficiency, automation is also changing how service quality is delivered. Rather than replacing people, AI enables greater consistency across routine operational processes, helping partners meet service-level commitments more reliably.

"At Visionet, we also challenge the long-held assumption that cost optimisation comes at the expense of service quality. In our experience, AI and automation enhance both. Automated operations deliver a level of consistency that traditional human-driven models simply cannot achieve at scale. Every alert is monitored, every runbook is executed consistently, every SLA is tracked in real time - without the limitations of shift fatigue, knowledge gaps, or missed escalations."

Maintaining customer confidence also requires visibility into service performance. Continuous service reviews, real-time SLA monitoring and structured problem management are becoming increasingly important as partners build long-term managed services relationships.

"Beyond automation, we reinforce service excellence through continuous service reviews, real-time SLA dashboards, and structured problem management. Equally important, our customers have complete, real-time visibility into their environments and service performance, providing greater transparency, accountability, and confidence."

For Indian channel partners, the lesson extends beyond adopting AI tools. Building profitable recurring revenue requires removing operational inefficiencies wherever possible while creating a delivery model that remains scalable as customer expectations grow.

Summing up Visionet's approach, Chacko says:

"At Visionet, our philosophy is straightforward: every manual process we automate removes cost permanently from the delivery model, while every improvement in consistency, speed, and visibility is a direct investment in service quality. That is how we are helping redefine managed services - making them more intelligent, more resilient, more efficient, and ultimately more valuable for our customers."

Automation is becoming a strategic differentiator

For partners transitioning towards managed services and recurring revenue, automation is no longer simply a technology investment; it is becoming a business imperative. The ability to automate routine operations, improve service consistency, reduce delivery costs and enhance customer experience directly influences both profitability and long-term customer retention.

As recurring revenue models continue to mature, partners that combine AI, automation and operational discipline with strong customer engagement will be better positioned to scale their managed services businesses while protecting margins. The focus is no longer just on delivering services more efficiently, but on building a sustainable operating model that supports predictable growth and continuous value creation.

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