L1 Support Automation
Deflect 40–60% of Tier-1 Tickets Without Adding Headcount
AI agents that handle routine support requests end-to-end — password resets, status lookups, KB queries — while escalating complex cases with full context.
Book a Discovery Call40–60%
of L1 tickets deflected
90 sec
average time to resolve routine requests
0
tickets lost in handoff — full context always attached
24/7
coverage without adding headcount
Your L1 Team Has Better Things to Do
"Half your tickets are the same ten questions"
Password resets, VPN issues, access requests — your L1 team handles these all day, every day. Our agents own these end-to-end so your people can focus on work that actually needs a human.
"Escalations arrive with zero context"
When a ticket does need a human, the agent passes along the full conversation, what was tried, and recommended next steps — so your L2 team isn't starting from scratch.
"After-hours coverage means overtime or voicemail"
AI agents don't have shifts. They handle routine requests 24/7 across Teams, Slack, or your ticketing portal — no overtime, no dropped requests.
"You can't scale support by scaling headcount forever"
Hiring, training, and retaining L1 agents is expensive and slow. Automation lets you absorb ticket growth without proportional cost growth.
From Ticket Queue to Resolution Engine
Without L1 Automation
With SectorFlow
L1 agents manually handle every password reset
Routine requests resolved end-to-end in seconds
Escalated tickets arrive with no context
Every escalation includes full conversation and recommended actions
After-hours requests go to voicemail
24/7 automated coverage across all channels
Knowledge base exists but nobody searches it
RAG-powered search finds answers from docs, runbooks, and past tickets
Scaling support means hiring more people
Absorb ticket growth without proportional headcount increases
See It In Action
Watch how the Email Intelligence Agent handles a pricing request from email intake to Teams notification — with zero human intervention.
Hi,
Can you provide pricing and availability for Product SKU-12345? We need 500 units for an upcoming project.
Thanks!
Hello,
Thank you for your inquiry! Here's the information you requested:
Product: SKU-12345 — Industrial Ethernet Cable
Quantity: 500 units
Availability: In stock — Ships within 2 business days
Would you like to proceed with this order? Reply to this email or contact our sales team.
Best regards,
Customer Support Team
Ticket: #CS-78234
Customer: buyer@customer.com
Type: Pricing & Availability
Product: SKU-12345 (500 units)
Response Time: 8 minutes
Integrations
ServiceNow
Zendesk
Jira Service Management
Microsoft Teams
Slack
Active Directory
Okta
Salesforce Service Cloud
Microsoft 365
Key Features
End-to-End Ticket Resolution
Handle pricing, availability, and status requests from email intake to customer response — autonomously. 70%+ of routine tickets handled without human intervention.
Knowledge Base Search
RAG-powered search across your docs, runbooks, ERPs, and past tickets for accurate, grounded answers — even across complex multi-system environments.
Smart Escalation
Tickets that don't match criteria or can't be confidently answered are routed to human agents with full context, conversation history, and recommended actions attached.
Multi-Channel Support
Monitor incoming cases via Salesforce Service Cloud, email (SMTP/Graph API), and web chat. Respond through the same channel the customer used.
Continuous Learning
Track which queries get escalated and use that data to expand automation coverage over time.
Complete Auditability
Every interaction, decision, and action is logged for compliance and quality review.
Security & Governance
- Role-based access controls (RBAC)
- Approval workflows for sensitive actions
- PII redaction
- Confidence thresholds with HITL fallback
- Full audit trails
Case Snapshot
An enterprise support organization handling 500,000+ tickets annually deployed the L1 automation agent for pricing and availability inquiries. The agent reduced response times from 7+ hours to under 10 minutes, achieved 90%+ classification accuracy, and handled 70%+ of routine tickets without human intervention — freeing the team to focus on complex, high-value support issues.