Sentie +
Zendesk

Zendesk Gives You the Platform, Sentie Gives You the Intelligence

Zendesk is a robust support platform, but running a high-performing support operation on top of it still requires a lot of human effort. Agents spend time reading tickets to understand the issue, searching for solutions in your knowledge base, typing out responses, and updating ticket fields. Managers spend time reviewing SLA compliance, identifying training gaps, and building reports. The platform handles the mechanics of support, but the cognitive work is still entirely on your team.

This is where Sentie changes the equation. We deploy AI agents that handle the thinking work inside your existing Zendesk setup. They read incoming tickets and understand the issue, including the customer's emotional state and the urgency behind the words. They find the right solution based on your knowledge base, past resolutions, and product documentation. They draft responses, route tickets to the right specialist, and resolve straightforward issues without human involvement.

The result is a support operation that handles higher volume with the same team, responds faster to every customer, and frees your human agents to focus on the complex, high-empathy cases that actually benefit from a personal touch. Your Zendesk instance works the same way it always has. Sentie just makes everyone who uses it significantly more effective.

Intelligent Ticket Routing That Actually Works

Zendesk's native routing is based on triggers and conditions: keywords, channels, form fields, and customer tags. It works for straightforward cases, but it falls apart when tickets don't contain the right keywords, when customers miscategorize their own issues, or when the optimal routing depends on context that doesn't fit into a dropdown.

Sentie's routing agents analyze the full content and context of every ticket. They understand natural language, which means a customer who writes "my dashboard won't load and I have a demo with a prospect in an hour" gets routed to a senior agent with product expertise, not to the general queue. The agents consider the customer's account tier, their history of interactions, the complexity of the issue, and the current availability and expertise of your support team.

The routing happens in seconds, not minutes. And because the agents learn from routing corrections, accuracy improves continuously. When a ticket gets re-routed by a human, the agent incorporates that signal into future decisions.

For teams with specialized support groups, like billing, technical, and product teams, this eliminates the misrouted tickets that add hours of latency to resolution times. Customers reach the right person on the first try, which is the single biggest driver of satisfaction scores in support interactions.

Auto-Resolution for Common Issues

A significant portion of support volume, typically 30-50% for most SaaS companies, consists of questions that have known answers. Password resets, billing inquiries, feature how-tos, and status checks are all resolvable without human intervention if you have the right system in place.

Sentie's resolution agents handle these tickets end-to-end. They identify the issue, verify the customer's identity and account status, apply the solution, and respond with a clear, personalized message. For password resets, they trigger the reset and walk the customer through the process. For billing questions, they pull the relevant account data and provide a specific answer. For how-to questions, they generate step-by-step instructions tailored to the customer's product tier and configuration.

The key difference from chatbot-style deflection is quality. Sentie agents don't just link to a help article and hope for the best. They actually understand the customer's specific situation and provide a complete resolution. If the issue turns out to be more complex than initially assessed, the agent escalates to a human with full context already attached, so the customer never has to repeat themselves.

Teams using Sentie for auto-resolution typically see their human-handled ticket volume drop by 35-45% within the first quarter, with customer satisfaction scores on auto-resolved tickets matching or exceeding human-resolved scores.

SLA Monitoring and Proactive Escalation

SLA breaches are expensive. They erode customer trust, trigger contractual penalties for enterprise accounts, and create fire drills that disrupt your entire support team. Most SLA monitoring in Zendesk is reactive: you find out about a breach after it happens, or you set up automations that send alerts when a ticket is close to breaching, which creates alert fatigue without actually solving the problem.

Sentie's SLA agents take a proactive approach. They continuously monitor every open ticket against its applicable SLA, but instead of just watching the clock, they assess the likelihood of breach based on the ticket's complexity, the assigned agent's current workload, and historical resolution times for similar issues. When a breach looks probable, the agent intervenes before the clock runs out.

Intervention can mean several things depending on the situation. The agent might draft a response for the assigned agent to approve with one click, reducing their response time from minutes to seconds. It might reassign the ticket to an available agent with the right expertise. For straightforward issues, it might resolve the ticket directly. The goal is to prevent the breach, not just warn about it.

For teams managing enterprise SLAs with financial penalties, this capability pays for itself almost immediately. A single prevented SLA breach on a large account can represent more value than months of Sentie subscription cost.

Knowledge Base That Maintains Itself

Your Zendesk help center is only useful if the articles in it are accurate and comprehensive. But keeping a knowledge base current is a thankless job that usually falls to the bottom of the priority list. Articles go stale when features change. Common questions go undocumented because nobody has time to write them up. Duplicate or contradictory articles accumulate because there's no systematic review process.

Sentie's knowledge base agents solve this by connecting your support ticket data to your help center content. When agents repeatedly answer a question that isn't covered in the knowledge base, the agent identifies the gap and drafts an article based on the successful resolutions. When a product update changes how a feature works, the agent flags every article that references the old behavior and drafts corrections.

The agents also analyze article performance. They track which articles customers view but still submit a ticket about, indicating the article isn't solving the problem. They identify articles with low readability scores or outdated screenshots. They surface optimization opportunities, like articles that could be split into separate topics for better findability or combined to reduce redundancy.

This creates a knowledge base that improves continuously without requiring a dedicated content team. Your help center deflects more tickets over time because the content actually answers the questions customers are asking, in the way they need to hear the answers.

What You Can Automate