Inbound Lead Reply Triage & Routing
(EmailOps)
Every inbound lead gets classified, enriched, routed to the right rep, and tracked for SLA — in seconds, not hours.
(B2B SaaS . Marketing Tech . Professional Services)
Common pain points we solve
Where this fits
Ideal starting scope for a pilot implementation
Inputs & Outputs
What goes in and what comes out
Use Cases Covered (Example Intent Categories)
The Workflow
Step-by-step automation from intake to tracking
Intake
Lead email arrives in shared inbox (Gmail/Outlook).
Classify
Identify intent: Demo, Pricing, Product question, Partner, Support (misrouted), Complaint, Unsubscribe/Privacy.
Extract
Extract fields: Company, Domain, Role, Interest, Region, Urgency, Signals.
Route
Assign & route: SDR/AE by rules or round-robin; send misroutes to support/ops; escalate high-intent leads.
Route
CRM actions: Create/update records, tag intent, log thread, create follow-ups.
SLA Track
SLA tracking: Start timer on inbound, remind owner, escalate on breach.
Exception Queue
Low confidence: Send to human review; reviewer assigns; model learns over time.
What ApexIQ Delivers
Intent classification taxonomy
(6-10 categories customized to your business)
SLA tracking + escalation workflows
(timers, reminders, manager alerts)
Field extraction model
(company, role, product interest, urgency signals)
Exception queue for human review
(low-confidence items for training)
CRM integration
(create/update Lead/Contact, de-duplication logic)
Audit trail
for compliance and continuous improvement
Routing rules engine
(territory, segment, round-robin, backup owners)
Analytics dashboard
(response times, routing accuracy, intent patterns)
Integrations & Data Sources
We integrate based on your stack
- Gmail/Google Workspace
- Microsoft 365 shared inboxes
Ticketing
- Freshdesk/Zendesk
- Jira Service Management (for misroute handling)
CRM
- Salesforce / HubSpot / Zoho / Freshsales (via API)
Messaging
- Slack / Microsoft Teams for alerts and escalations
Enrichment (optional)
- Clearbit / ZoomInfo / Apollo for data enrichment

Accuracy & Safety Controls
Built-in safeguards and quality measures
Confidence scoring with low-confidence cases sent to human review.
Human review queue for exceptions; model improves over time
CRM De-duplication: Match to existing records before creating new; prevent duplicates
Thread Awareness: Track conversation history; don't treat replies as new leads
PII Handling: Configurable logging/retention based on compliance requirements
Fallback Rules: If AI uncertain, apply rule-based routing as backup
Pilot Plan (2–4 Weeks)
A proven timeline to get you to production
Pilot KPI Targets
What We Need From You
Client checklist to kick off the pilot
Want faster speed-to-lead without hiring more people?
Let's map your inbound inbox workflow and design a measurable pilot.
