The Autonomy Gap
Racing to Level 4. Without a Governance Framework.
The telecom industry has defined six levels of network autonomy (AN Level 0–5), and 70+ operators globally have committed to reaching Level 4 — where agents make network decisions independent of humans. India's operators are leading this race. Jio's Open Telecom AI Platform with AMD, Cisco, and Nokia is built on agentic AI. Airtel has deployed zero-touch maintenance with Nokia. But Level 4 autonomy without agent governance isn't autonomy — it's liability.
Our Approach
You Can't Reach Level 4 Without Agent Governance
AN Level 4 isn't just more automation — it's the point where agents make decisions independent of humans. That transition requires governed autonomy: agent registration, reasoning capture, policy enforcement, and blast radius controls. Without it, you're not autonomous — you're uncontrolled.
Autonomy Without Governance
- Deploy network agents, validate on test traffic
- No central registry — nobody knows how many agents run in the NOC
- Agent reroutes traffic or reallocates spectrum with no reasoning trace
- Digital twin runs simulations but agent decisions aren't captured
- No blast radius controls — one agent misconfiguration cascades network-wide
- AN Level self-assessment is a PowerPoint exercise
Governed Autonomy with Rotavision
- Every agent registered with autonomy level, blast radius, and risk classification
- Reasoning capture for every network decision — traceable from agent to outcome
- Digital twin agents governed with the same policy engine as production agents
- Blast radius controls that prevent single-agent cascades across a billion connections
- Policy enforcement at gateway and inline layers — bounded autonomy by design
- AN Level readiness mapped to agent maturity, not just network capability
Where It Matters
The Path to Autonomous Networks
Not generic network automation — governed agent systems that move Indian telcos from Level 2 to Level 4 and beyond.
AN Level 4 is the inflection point — where agents make network decisions independent of humans across multiple domains. For India's operators, this means agents that predict faults across 1.15 billion connections, trigger self-healing workflows, manage 5G network slice allocation in real time, and optimise capacity across terrain that ranges from Himalayan base stations at 4,500 metres to ultra-dense urban cells in Mumbai. Jio is building towards this with its Open Telecom AI Platform. Airtel has deployed zero-touch maintenance with Nokia.
But Level 4 autonomy requires Level 4 governance. When a fault prediction agent shuts down a cell sector, the reasoning chain must be traceable. When a slice management agent deprioritises enterprise traffic during peak hours, the decision must be explainable and auditable. When a self-healing workflow reroutes traffic across circles, blast radius controls must prevent cascading failures. AN Level 4 isn't just about what agents can do — it's about proving they do it within governed boundaries.
Orchestrate manages the agent fleet across the NOC — registration, autonomy levels, policy enforcement, and closed-loop control. Guardian monitors every network agent for drift, reliability, and anomalies — so operators achieve AN Level 4 with the governance to prove it to regulators, boards, and the TM Forum assessment framework.
Network digital twins are becoming foundational to the AN Level 4 journey. Jio's JioBrain operates a digital twin system for capacity planning and early failure warnings. Vodafone Idea adopted HCL's ANA platform for self-healing network simulations. The principle is sound: simulate agent behaviour in a twin environment before deploying to production. But here's the gap — most operators govern their production agents differently from their digital twin agents, or don't govern the twin agents at all.
This creates a dangerous asymmetry. An agent validated in a digital twin with no policy enforcement behaves differently when those policies are applied in production. A fault prediction agent tuned on simulated traffic patterns may drift when faced with real-world seasonality. The twin must mirror production governance exactly — same agent registry, same policy engine, same reasoning capture. Otherwise you're testing a fiction.
Guardian applies identical monitoring and drift detection to agents in both twin and production environments. Orchestrate ensures the same policy engine, autonomy boundaries, and reasoning capture govern agents wherever they run — so what you validate in the twin is what you deploy in production.
Telecom fraud in India operates across multiple vectors simultaneously. SIM swap fraud exploits Aadhaar-linked SIM verification, CLI spoofing impersonates legitimate numbers for phishing, and bypass fraud routes international calls through local gateways. Airtel's AI-driven spam detection has reduced subscriber complaints by 49% — but as fraud grows more sophisticated, single-model detection can't reason across multi-vector attacks. Meanwhile, TRAI mandates quality-of-service standards that require customer service agents to handle 22 languages with traceable decision-making.
Multi-agent systems outperform monolithic approaches for both fraud and customer intelligence. A SIM swap pattern agent, a CLI verification agent, and a call-flow analysis agent each reason independently, then a coordinator agent synthesises signals. Customer service agents handle plan queries, billing disputes, and number portability in the subscriber's language — with every recommendation explainable. Fairness monitoring ensures agents don't systematically offer worse outcomes to subscribers in specific circles or demographics.
Vishwas monitors customer-facing agent decisions for fairness and generates explainability in the subscriber's language. Orchestrate manages multi-agent fraud workflows with cross-validation, escalation policies, and complete audit trails for DoT and TRAI compliance.
Solution Package
AN Governance Accelerator
A combined assessment, platform, and integration package that maps your agent governance maturity to the TM Forum AN framework — and builds the governance layer to reach Level 4.
What's Included
Agent governance maturity audit mapped to TM Forum AN Levels. Gap analysis with actionable roadmap from your current state to L4.
Orchestrate + AgentOps configured for NOC workflows — agent registration, autonomy levels, blast radius controls, and policy enforcement for network agents.
Same policy engine and reasoning capture for agents in twin and production environments. Integrates with JioBrain, HCL ANA, or your existing digital twin platform.
Convert business intent (“prioritise video in Mumbai during IPL”) into agent policy guardrails. The bridge between what you want the network to do and what agents are allowed to do.
Pre-built connectors for telecom operations systems. Agent governance layer that sits alongside your existing NOC stack, not instead of it.
AN Maturity Levels
Platform Stack
Level 4 autonomy means agents decide without humans.
The question isn't whether you'll get there — it's whether you'll get there with governance.
