Lead processing · Production

Lyzr scales inbound SDR operations for a global AI infrastructure company with agent-driven system

The problem

Inbound leads spanning low-intent queries to high-value enterprise requests overwhelmed SDR teams and slowed first response times, while critical context was scattered across CRM systems, sales enablement platforms, and public documentation, resulting in inconsistent lead qualification and delayed handoffs.

Workflow diagram · grounded in source

Inbound inquiry arrives

trigger

“Inbound leads ranged from low-intent queries to high-value enterprise requests, overwhelming SDR teams and slowing first response times.”

AI agent classification and response

ai_action

“AI agents classified and responded to inbound inquiries based on intent and urgency.”

Real-time CRM enrichment

integration

“Inbound leads were enriched in real time using CRM data to improve qualification accuracy.”

GraphRAG knowledge retrieval

ai_action

“A GraphRAG layer unified public product content and internal enablement material for consistent answers.”

Low-confidence SDR routing

routing

“Low-confidence or high-risk responses were routed to SDRs with full reasoning transparency.”

Engagement format optimization

feedback_loop

“Different response formats and channels were tested to optimize inbound engagement rates.”

Reported outcome

Inbound inquiries received immediate, context-aware responses, significantly reducing wait times; automated triage and real-time enrichment delivered consistent lead qualification; and the system met enterprise security and compliance requirements with role-based access and audit trails.

Reported metrics

First response timeFaster first response times

Wait timessignificantly reducing wait times

Lead qualification qualityHigher quality lead qualification

Qualification consistencyconsistent qualification

Reported stack

LyzrGraphRAGCRM

Source

https://www.lyzr.ai/case-studies/global-infrastructure-leader-scaled-inbound-sdr-operations/

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Inbound inquiries received immediate, context-aware responses, significantly reducing wait times; automated triage and real-time enrichment delivered consistent lead qualification; and the system met enterprise securi…

What tools did this team use?

Lyzr, GraphRAG, CRM.

What results were reported?

First response time: Faster first response times; Wait times: significantly reducing wait times; Lead qualification quality: Higher quality lead qualification; Qualification consistency: consistent qualification (source-reported, not independently verified).

How is this lead processing AI workflow structured?

Inbound inquiry arrives → AI agent classification and response → Real-time CRM enrichment → GraphRAG knowledge retrieval → Low-confidence SDR routing → Engagement format optimization.