As enterprises race to adopt agentic AI, many are discovering that speed without governance can quickly turn innovation into complexity. In this conversation, Srikanth Chakkilam, CEO & Executive Director of Covasant, shares how the company is tackling one of the most pressing challenges of the AI era: bringing control, transparency, and accountability to sprawling autonomous AI ecosystems. He offers a deep dive into Covasant’s AI Agent Control Tower, explains why traditional monitoring tools fall short in an agent-driven world, and outlines a future where AI is managed as a strategic, governed enterprise asset rather than an unchecked experiment.
1. The Covasant AI Agent Control Tower has been positioned as a key innovation in your portfolio. Could you walk us through its core capabilities and the specific business challenges that it aims to address?
The Indian Enterprise Agentic AI market, valued at USD 132.6 million in 2024, is projected to grow at a CAGR of 53.9%, to USD 1.73 billion by 2030. However, this growth comes with its own set of chaos. Even as Indian enterprises are accelerating their shift towards autonomous systems, they are rapidly deploying hundreds of disconnected AI agents across business functions, often built by legacy service providers for transactional tasks. These fragmented deployments are creating a dangerous scenario where ungoverned autonomous agents operate in silos, without oversight, security guardrails, or alignment with enterprise security, compliance guidelines, and business goals. This unchecked proliferation of AI agents is already creating a large business risk and inefficiencies, and is the single largest threat to achieving scalable, secure, and cost-effective AI adoption. Indian enterprises today urgently need a governance layer that can bring visibility, and unified control to an increasingly fragmented AI ecosystem.
The Covasant AI Agent Control Tower (AI ACT) has been built to precisely address these challenges for global enterprises. We aim to help enterprises transform a scattered agentic AI ecosystem into a transparent and governed operating environment. It offers:
Universal Agent Registry: A single dashboard to monitor and manage every AI agent across the enterprise, regardless of its origin.
Centralized Governance & Security: Enforce consistent policies, AI guardrails, and compliance protocols across all agents to prevent drift and rogue behaviour.
Cross-Platform Observability: Real-time tracking of agent performance, token consumption, and decision-making for a holistic view of the entire AI operation.
Business Impact & ROI Tracking: A live dashboard to evaluate each agent’s contribution to business outcomes, cutting through the noise to show what’s actually working.
Comprehensive Audit & Explainability: Log every AI agent’s decision-making process, providing a clear, unified audit trail for compliance and debugging.
In essence, the AI ACT delivers clarity and control that enterprises need to move from scattered experimentation to governed, enterprise-scale AI, without letting fragmentation derail the process.
2. What makes the Covasant AI Agent Control Tower different from traditional visibility or analytics tools available in the market today?
Most visibility and analytics tools available in the market today focus on collecting, processing, and analysis of data in a manner that can help organizations see trends, monitor performance, and forecast outcomes. They were built for an earlier generation of software systems where workflows were largely static, predictable, and human-driven. But today, as over 80% of Indian enterprises are exploring autonomous AI agents and nearly 50% of Indian enterprises are prioritizing multi-agent workflows, it is clear that traditional tools simply were not designed for this level of autonomy, scale, or risk.
Today, the market is being flooded with AI agents and point solutions for isolated problems. This is giving rise to ‘a new agent for every task’ phenomenon, leading to more chaos! As enterprises deal with autonomous, self-improving AI agents that can trigger actions, make decisions, interface with multiple systems, and even spawn new workflows, just building new agents is not the solution, governing them in the right way is. Businesses are now waking up to the urgent need for a unified command center to eradicate any operational blind spots, security gaps or unpredictable costs brought about by ungoverned AI agents. The real challenge is to manage the dozens that have already been created! And to manage them efficiently and at scale is the real need of the hour.
That is where the Covasant AI Agent Control Tower stands apart from the traditional tools in the market. It is designed to be a strategic control plane that can transform a patchwork of disconnected AI agents in multi-agent systems, into a cohesive, secure, and optimized autonomous workforce.
The Indian market is going through a tech architecture shift. Just as enterprises needed a CRM or an ITSM system a decade ago, all enterprises today need an AI Agent Control Tower.
3. How does the Covasant AI Agent Control Tower leverage AI and automation to improve decision-making and operational efficiency for your customers?
The Covasant AI Agent Control Tower helps elevate how enterprises can leverage AI agents in the most optimum manner. It enables intelligent orchestration to route tasks to the most capable and cost-efficient agent, improving speed, accuracy, and resource allocation, without human intervention. Its automated governance layer continuously monitors agent behaviour, identifying anomalies, such as unexpected outputs, excessive token consumption, or policy violations, and can automatically trigger corrective actions like quarantining an agent while maintaining a full audit trail. It also acts as a “kill-switch” to retire agents which are no longer needed.
The AI ACT leverages dynamic cost optimization that forecast business impact and evaluate cost-per-outcome, helping enterprises scale budgets or retire low-value agents before cost overruns take place. And with built-in decision-making intelligence, every agent’s reasoning and decision path is logged and explained, giving leaders complete visibility and deeper insight into ‘why’ an action was taken, thereby enabling continuous refinement of guardrails and risk thresholds.
Together, these capabilities create an AI governance model that is more efficient, safer, and more autonomous; one where enterprises minimize operational overhead and risk, while maximizing returns on their AI investment.
4. The broader technology landscape is witnessing rapid AI-led transformation. How do you see such intelligent platforms redefining enterprise operations in the next few years?
India’s AI Landscape has definitely reached its inflection point. According to the latest EY-CII report, “Is India ready for Agentic AI? The Aldea of India: Outlook 2026,” there is an accelerated shift in AI pilots to performance, among Indian enterprises. As per the report, operations, customer service, and marketing are emerging as top focus areas, pointing at how Indian enterprises are actively rewiring their processes using agentic AI frameworks and are ready for automation at scale.
In this context, intelligent agent orchestration platforms, especially those with unified governance layers like the Covasant AI Agent Control Tower, will reshape enterprise operations over the next few years, in three fundamental ways:
Workflow autonomy will accelerate as end-to-end business processes are handled by co-ordinated, goal-driven agent network with human-in-the-loop, instead of manual workflows or agents working in silos.
Human-agent collaboration will become a dominant operating model, where humans focus on judgement, intensive, strategic decisions while agents handle execution, analysis, and consistent delivery.
AI to evolve as Managed Strategic Asset, with enterprises actively monitoring ROI, rationalizing underperforming agents, balancing risks, costs, and performance as part of an AI portfolio.
As intelligent platforms become more embedded in operations, enterprises will need strong governance and orchestration layers to scale in a secure manner. And that is where the next era of enterprise transformation will lead.
5. Looking ahead, what is Covasant’s long-term vision, both in terms of technology roadmap and market expansion, and how does the AI Agent Control Tower fit into that larger strategy?
Our long-term vision is to help enterprises transition decisively into an AI-powered, governance-first operating model, where autonomous systems become as fundamental as CRM or ERP once were. We see a future where every enterprise will run hundreds of specialized agents across business functions, and the ones that will succeed will be those with the right governance, orchestration, and control frameworks in place. Covasant aims to lead this transformation with our AI Agent Control Tower. It empowers enterprises to scale agentic AI confidently and responsibly, giving us a strong early-mover advantage in shaping the fast-evolving Agentic AI governance ecosystem, not only in India but also globally.
From a technology roadmap perspective, we aim to expand into the entire lifecycle of creating, managing, and retiring AI agents. The AI ACT establishes the orchestration, governance, and observability backbone needed to manage multiple autonomous agents working across diverse business functions, data environments, and compliance boundaries.
From a market expansion perspective, our goal is to extend Covasant’s footprint across India, the Middle East, Europe, and North America, supporting enterprises as they embrace Agentic AI for mainstream, everyday operations. In essence, the AI ACT is the backbone of our roadmap and a key enabler for the AI-First future that we are building.
