DevRev Targets AI's Production Gap with Major India Expansion

MUMBAI, India – March 09, 2026 – AI-native enterprise software company DevRev is set to make a significant statement on its India and APAC expansion this week, unveiling major advancements to its 'Computer' platform designed to solve a critical challenge for modern enterprises: moving artificial intelligence from scattered, experimental pilots into governed, production-scale reality. At its 'Effortless Mumbai 2026' event on March 12, the company will address what it calls a growing "clarity crisis" in enterprise AI, where a proliferation of tools has not translated into better business understanding.

"Like it leapfrogged landlines to go directly to cellular, India’s timing is right once again. Skip legacy enterprise search (and wasteful SaaS) and embrace agentic AI with enterprise answers and actions,” said Dheeraj Pandey, co-founder and CEO of DevRev. “The best part is that the country is not afraid of AI, despite millions of knowledge worker jobs getting redefined this decade. India is a quintessential computer nation.”

The AI Production Imperative

The first wave of enterprise AI, marked by tools like GitHub Copilot and various embedded assistants, delivered clear productivity gains for individual workers. Developers code faster and knowledge workers find documents more easily. However, this initial success has created a new, more complex problem. As organizations rapidly deploy numerous copilots and search tools, they face a paradox: more AI has led to more data and more speed, but not necessarily more clarity or confidence.

This challenge is particularly acute in high-stakes, revenue-generating workflows. Sales, support, and customer success teams are often left to manually piece together a customer's story from a dozen disconnected systems—CRM updates, support ticket histories, Slack conversations, and call notes. The result is an "AI sprawl" that creates fragmented context, inconsistent outputs, and a lingering lack of trust in AI-generated information. This bottleneck prevents AI from moving beyond individual productivity aids to becoming a reliable, strategic asset driving core business operations. DevRev's thesis is that simply adding another AI tool won't solve the problem; a new architectural approach is needed to unify this fragmented landscape.

The company's 'Computer' platform is designed to be that unifying layer. Rather than operating within a single application, it sits between an enterprise's existing systems—like Salesforce, Jira, and Zendesk—to create a coherent, actionable context. By continuously synchronizing both structured and unstructured data into a permission-aware knowledge graph, the platform aims to move enterprises from basic search to trusted answers, and from answers to coordinated, agent-driven action.

From Insight to Governed Action

At Effortless Mumbai, DevRev will introduce two key advancements aimed at bridging the gap between AI pilots and production deployment: Agent Studio and expanded Text2SQL reasoning. These features are engineered to address the core enterprise concerns of governance, accountability, and reliability.

Agent Studio is a platform that empowers teams to build, deploy, and—most critically—govern custom AI agents at scale. This allows an organization to connect the Computer platform to its unique ecosystem of tools, encode its specific business logic through reusable skills, and ensure agent behavior aligns with brand standards. By embedding control at the data, query, and execution layers, Agent Studio directly confronts the challenge of scaling AI with accountability. As AI adoption grows, the ability to monitor performance, enforce governance, and maintain human oversight becomes as important as the AI's core capabilities.

The second major advancement is in expanded Text2SQL and analytical reasoning. This enhancement enables the Computer platform to produce nuanced answers from complex business data, rather than simply retrieving stored information. Unlike tools that query databases without understanding the underlying business context, DevRev's platform learns how a company organizes its data, interprets custom formats, and reasons across both structured tables and unstructured text. Demonstrations are expected to show how this allows the AI to perform complex tasks like identifying stalled sales opportunities by connecting support ticket sentiment with pipeline risk, or automatically traversing cross-object relationships in a database while maintaining a conversational context over multiple queries. When an answer requires a subsequent step, the platform can write back to enterprise systems—updating records, drafting follow-up emails, or triggering workflows—all while keeping a human in the loop for final approval.

India's 'Computer Nation' Moment

DevRev's focus on India is a strategic bet on a market that is not just adopting AI, but leading it. With an enterprise AI adoption rate of 80%—significantly higher than the US (59%) and global averages—India is demonstrating a unique readiness to integrate advanced technology into its economic fabric. This rapid adoption is fueling a booming market, with projections showing the enterprise generative AI sector in India growing from $183.4 million in 2024 to over $1.2 billion by 2030, a staggering compound annual growth rate of 38.3%.

Pandey's "leapfrog" analogy resonates deeply in this context. Just as the nation bypassed widespread landline infrastructure in favor of a mobile-first revolution, many Indian enterprises are now positioned to skip the cumbersome, siloed software era and move directly to integrated, agentic AI platforms. This environment makes the country a fertile ground for solutions like DevRev's, which are built on unification rather than fragmentation. The company's own momentum reflects this trend; DevRev has grown 3x over the past year, with India emerging as one of its fastest-growing markets across financial services, technology, and SaaS sectors. The 'Effortless Mumbai' event underscores this commitment to the region, positioning it as a central hub for the company's APAC strategy.

Unifying a Fragmented Enterprise Landscape

The practical impact of this unified approach is best illustrated by the success of Uniphore, a global AI enterprise founded in India. As Uniphore grew rapidly, acquiring nine companies over four years, it faced a common but daunting challenge: a complex web of disparate systems, including Zendesk, ServiceNow, PagerDuty, and Jira. This fragmentation threatened to undermine operational coherence and customer service quality.

Leveraging DevRev, Uniphore was able to unify this siloed data into a single operational memory layer. The migration itself highlighted the platform's efficiency; using a feature called AirSync, Uniphore moved 16,000 tickets, 72,000 comments, and 17,000 attachments in just six hours. Today, the unified platform supports Uniphore's 24/7 service coverage across 46 different organizational schedules and has been used to trigger more than 10,000 AI-driven workflows. The Computer platform evolved with the company, absorbing new products, tools, and data silos from each acquisition while maintaining a consistent, coherent operational view.

This case study serves as a powerful validation of DevRev’s core message. In an era where digital transformation often inadvertently creates more silos, the ability to build a living knowledge graph that connects all of an enterprise's data is a significant competitive advantage. As DevRev prepares to challenge the market in Mumbai, its argument is clear: the solution to broken workflows isn't just more AI, but a new foundation of clarity that enables AI to act with purpose and precision.