The Problem
You Don't Know Which Agents You Have.
Every department deploys agents independently. There's no registry, no policy enforcement, no reasoning capture. When the regulator asks which agents are making decisions in your organisation — you can't answer.
Shadow Agents
Teams deploy agents without central visibility. No inventory of what agents exist, what they can do, or what data they access.
No Reasoning Trail
Agents make thousands of decisions daily. None capture their chain-of-thought. When something goes wrong, there's no flight recorder.
Policy Gaps
Each team sets its own guardrails — or none at all. No consistent policy enforcement across agents, teams, or environments.
Operational Blind Spots
No cost attribution per agent. No performance baselines. No way to know if an agent is drifting, underperforming, or costing more than it should.
Capabilities
The Operational Backbone for Enterprise AI
AgentOps is the infrastructure layer that turns ad-hoc agent deployments into governed, observable, auditable operations.
Agent Registry & Catalog
Centralised source of truth. Every agent gets a unique identity (URN), capability manifest, autonomy level, risk classification, lineage tracking, and accountable ownership.
Lifecycle Management
Deployment pipelines with approval gates. Version management. A/B testing and canary releases. Rollback capabilities. Environment management from dev to production.
Policy Engine
OPA-based enforcement across gateway, sidecar, and inline layers. Contextual authorisation based on customer segment, transaction amount, risk level, and time of day.
Agent Flight Recorder
Persists chain-of-thought reasoning for every agent decision. Complete tool invocation logs, memory access records, and audit-ready regulatory exports.
Observability Dashboard
Real-time monitoring with behavioural analytics. Drift detection. Cost attribution per agent and use case. Anomaly alerting with configurable thresholds.
Human-in-the-Loop Controls
Configurable approval workflows built for Indian enterprise hierarchies. Escalation paths. Delegation rules. Full audit trail for every human intervention.
How It Works
From Shadow Agents to Governed Operations
Discover
Scan your infrastructure to find every agent — deployed, in-development, and shadow
Register
Assign identity, autonomy level, risk classification, and accountable ownership
Enforce
Apply policies at gateway, sidecar, and inline layers — consistent across all agents
Observe
Monitor reasoning, cost, performance, and compliance in real time
Policy Enforcement
Three Layers of Control
Policies are enforced at the right layer for the right context — not bolted on as an afterthought.
Gateway Layer
Centralised policy enforcement at the API gateway. Rate limiting, authentication, and request-level policy checks before agents are invoked.
Sidecar Layer
Agent-specific policies deployed alongside each agent. Contextual authorisation, data access controls, and action-level permissions.
Inline Layer
Real-time policy enforcement within agent reasoning chains. Interrupt dangerous actions before they execute, not after.
Ad-Hoc Agent Deployments
- No central registry or inventory
- Each team sets its own rules
- No reasoning capture or audit trail
- Cost attribution impossible
- Compliance is a manual exercise
AgentOps
- Every agent registered with identity and ownership
- Consistent policy enforcement across the enterprise
- Flight recorder captures every decision
- Cost attribution per agent, team, and use case
- Automated compliance reporting for RBI, IRDAI, SEBI
Integration
Works With Your Stack
- Frameworks: LangChain, CrewAI, AutoGen, LlamaIndex, custom
- Infrastructure: Kubernetes, Docker, serverless
- Identity: Active Directory, Okta, SAML
- Observability: Prometheus, Grafana, Datadog
- Compliance: Pre-built RBI, SEBI, IRDAI, DPDP policies
India Deployment
Data Localisation: AWS Mumbai, Azure India, or on-premise.
Support: 24/7 IST-based team.
Compliance: RBI AI governance aligned. DPDP Act ready.
You can't govern agents you don't know about.
AgentOps is the registry, the policy engine, and the flight recorder.
