The Reality
Agent Sprawl Is the New Shadow IT.
Every enterprise department is deploying its own agents — credit agents in lending, fraud agents in payments, customer service agents in support, compliance agents in legal. Without a central registry, there's no visibility into what agents exist, what autonomy they have, or what decisions they're making. The governance gap isn't hypothetical — it's already the default state at most large Indian enterprises.
Our Approach
Enterprise Agents Need Operations, Not Just Deployment
Departments are buying AI tools. Teams are spinning up agents. But nobody is asking the enterprise-wide question: who registers these agents, who sets their autonomy boundaries, and who captures their reasoning?
Enterprise Agents Without Operations
- Each department deploys its own agents independently
- No central registry or catalog of active agents
- Agent reasoning is a black box across the organisation
- Compliance team reviews quarterly — at best
- Shadow agents proliferate across teams
- DPDP accountability unclear when agents make decisions
Enterprise Agents with Rotavision
- Centralised agent registry with identity, autonomy levels, and risk classification
- Reasoning capture and flight recorder for every agent
- Policy enforcement at gateway, sidecar, and inline layers
- Human-in-the-loop controls with bounded autonomy
- Continuous fairness and reliability monitoring
- DPDP and sector-specific regulatory compliance built in
Industry Verticals
Agent Governance Across India's Enterprise Landscape
Every industry deploys agents differently. The governance challenges are sector-specific — shaped by regulators, operational realities, and the stakes of autonomous decisions.
Financial Services
AI agents are approving loans, processing UPI fraud alerts, and running KYC verification — autonomously, at scale. The RBI's FREE-AI framework lays out 7 governance sutras that every regulated entity will need to comply with. Banks and NBFCs deploying agentic AI need a governance architecture built for this reality.
Telecommunications
Network agents, customer service agents, and fraud detection agents are operating across India's 1.15 billion mobile connections. Every autonomous decision — from traffic rerouting to complaint resolution in regional languages — needs governance that meets TRAI and DoT requirements.
Manufacturing
Quality control agents, predictive maintenance agents, and production optimisation agents are running on PLI-funded factory floors across 14 sectors. When an agent rejects a batch or shuts down a line, the plant manager — and the auditor — needs to know why.
Solution Package
Enterprise Agent Governance Accelerator
A combined assessment, platform, and integration package for enterprises deploying AI agents across departments — with shadow agent discovery, centralised governance, and DPDP compliance built in.
What's Included
Comprehensive audit of agent deployment across departments — discovery of shadow agents, ungoverned models, and undocumented AI systems. Maturity assessment against Rotavision's Agent Governance Maturity Model (Levels 1–5).
Orchestrate + AgentOps deployed enterprise-wide — every agent registered with identity, autonomy level, risk classification, and department ownership. Single source of truth for the CIO.
Pre-built connectors for ServiceNow, Jira, PagerDuty, and existing observability platforms. Agent governance alongside existing IT service management infrastructure.
Track token consumption, compute costs, and ROI per agent across the enterprise. Budget allocation, chargeback models, and cost anomaly detection for AI agent operations.
Automated compliance mapping across DPDP Act, RBI, IRDAI, SEBI, and sector-specific regulations. Audit-ready trails from agent decision to regulatory requirement.
Agent Maturity Levels
Platform Stack
Enterprise AI in India isn't about deploying more agents.
It's about knowing which agents you have, what they're deciding, and whether anyone is governing them.
