Question 1

What is REAP?

Accepted Answer

REAP is an agentic AI platform for network operations (AI NetOps). It acts as a reasoning layer that ingests telemetry, syslog, SNMP, config changes, and ITSM events, correlates them across topology and change history, identifies root cause, and executes remediation runbooks with engineer-in-the-loop approval.

Question 2

What is agentic NetOps?

Accepted Answer

Agentic NetOps is the use of autonomous AI agents to observe, reason about, and act on network operations events. Unlike traditional AIOps which only correlates alerts, agentic NetOps platforms like REAP can independently investigate incidents, determine root cause, and execute remediation with full audit trails.

Question 3

How does REAP reduce MTTR?

Accepted Answer

REAP reduces mean time to resolution by up to 78% by correlating signals across BGP, OSPF, interface telemetry, and config history within seconds, presenting engineers with a 4-part Investigation Window (what happened, why, impact, recommended action) before they open the ticket.

Question 4

Which network vendors and tools does REAP integrate with?

Accepted Answer

REAP works with Cisco, Juniper, Aruba and other vendor NOSes, and integrates with ServiceNow, JIRA, PagerDuty, OpsGenie, Confluence, Solarwinds, Zabbix, CyberArk, and HashiCorp Vault. No rip-and-replace required.

Question 5

Is REAP suitable for service providers and data center networks?

Accepted Answer

Yes. REAP is purpose-built for service providers, large enterprises, and data center networks running BGP, OSPF, and modern streaming telemetry stacks at scale.

Question 6

How is REAP different from traditional AIOps tools?

Accepted Answer

Traditional AIOps stops at alert correlation and noise reduction. REAP is agentic — it reasons about root cause across topology, telemetry, and change history, then executes remediation runbooks. It is purpose-built for networks, not retrofitted from generic IT observability.