CorePiperCorePiper
Use Case

Customer Support Automation

Your best support reps can't be everywhere at once. But AI agents driven by your SOPs can. Enter your procedures, connect your tools, and CorePiper handles tickets autonomously 24/7 -- improving with every piece of human feedback.

The Problem

Support teams are drowning

Ticket volumes are up, budgets are flat, and customers expect faster answers than ever. The math doesn't work without automation.

Ticket Volumes Are Exploding

Support ticket volumes surged 87% in 2024. Teams are overwhelmed, and hiring can't keep pace with demand.

Cost Per Ticket Is Unsustainable

Manual processing costs $25-35 per ticket. At scale, support operations become one of the largest cost centers in the business.

Response Times Are Slipping

Customers expect answers in minutes. Overloaded teams take hours or days, driving churn and damaging brand trust.

Quality Is Inconsistent

Different reps give different answers. Tribal knowledge stays trapped in the heads of your best performers while new hires struggle.

How CorePiper Solves It

AI agents driven by your SOPs and real feedback

CorePiper doesn't just automate -- it follows your SOPs and improves through human-in-the-loop feedback. AI agents handle categorization, response patterns, and routing decisions -- getting better with every interaction.

Intelligent Ticket Categorization

AI agents analyze ticket content, customer context, and historical patterns to categorize tickets with the same accuracy as your best reps -- instantly.

Response Drafting from Best Rep Patterns

CorePiper follows your SOPs for response patterns and improves through real feedback from your team -- drafts responses ready for review or auto-send.

Automatic Routing and Assignment

Tickets are routed to the right team or individual based on skill, capacity, and case context. No more manual triage bottlenecks.

SLA Monitoring and Alerts

Real-time SLA tracking across all platforms. CorePiper proactively alerts teams before breaches happen and can auto-escalate when thresholds are at risk.

Escalation Prediction

AI detects signals that a ticket is likely to escalate -- sentiment shifts, repeated contacts, complexity indicators -- and intervenes before the situation worsens.

Cross-Platform Support

Works natively across Salesforce, Jira, and Zendesk. A single AI agent can orchestrate actions across all three platforms in one seamless workflow.

Results

Measurable impact from day one

CorePiper customers see dramatic improvements in support operations within weeks of deployment.

60%

Reduction in First Response Time

AI agents draft and deliver responses in seconds, not hours.

45%

Cost Reduction

Automate routine tickets and free your team for high-value work.

24/7

Coverage

AI agents never sleep. Your customers get support around the clock.

3 Days

To Get Started

Upload your SOPs, connect your platforms, and deploy in about a day -- not months.

FAQ

Frequently asked questions

How support teams use CorePiper's AI agents to automate tickets across Salesforce, Jira, and Zendesk.

How does CorePiper automate customer support?
CorePiper's AI agents follow your existing SOPs to triage, categorize, route, and respond to tickets across Salesforce, Jira, and Zendesk. Every action is bounded by the procedures your team already uses, and a human-in-the-loop step handles edge cases so quality stays high as volume grows.
What's the difference between CorePiper and a chatbot?
A chatbot answers questions from a static knowledge base. A CorePiper agent reads the full ticket, pulls data from your connected systems, runs multi-step workflows, and updates the right records — end-to-end resolution, not just suggested replies.
How long does it take to deploy CorePiper for customer support?
Most teams are live within a day. Because CorePiper learns from your existing SOPs rather than requiring model training, onboarding is configuration work rather than data labeling.
Does CorePiper replace Salesforce, Zendesk, or Jira?
No. CorePiper runs inside your existing stack — you keep your queues, macros, reporting, and integrations. Agents read from and write to each platform the same way your reps already do.
Can CorePiper handle complex cases that need human judgment?
Yes. CorePiper's workflows include explicit escalation rules. When a case falls outside the SOP or crosses a confidence threshold, the agent hands it to a human with every bit of context attached — no context-switching tax.
How do we measure the impact of CorePiper on support?
Teams typically track first-response time, resolution time, auto-resolution rate, and cost per ticket. CorePiper reports these metrics out of the box so you can quantify ROI in the first month.
Related: see the Zendesk AI comparison, explore the Zendesk integration, or see how we automate logistics claims and exceptions.

Ready to transform your support operations?

Book a demo and see how CorePiper's SOP-driven AI agents handle tickets autonomously -- across Salesforce, Jira, and Zendesk, improving through real feedback.