Sentie +
Freshdesk

Freshdesk Manages Your Tickets. Sentie Manages Your Support Operation.

Freshdesk gives your support team a solid foundation: ticket management, SLA tracking, knowledge base hosting, and multi-channel support. It handles the mechanics of customer service well. But the operational challenges that keep support leaders up at night sit above the platform level. Response times creep up during volume spikes. Ticket routing errors add hours of latency. Knowledge base articles go stale. Agent performance varies widely. These problems persist because they require intelligence and judgment, not just better rules.

Freshdesk's built-in automation handles structured tasks effectively. Dispatch rules route tickets based on keywords, channels, and priority levels. Scenario automations bundle repetitive actions into one-click shortcuts. Canned responses speed up common replies. But these tools operate on surface-level signals. They can't read a frustrated customer's message and recognize that the underlying issue is a billing error, not the technical problem the customer described. They can't evaluate whether a ticket that looks simple actually involves a complex edge case that needs specialist attention.

Sentie agents add the cognitive layer your Freshdesk setup is missing. They understand the intent behind customer messages, evaluate urgency based on context rather than keywords, and take action across your connected tools. The result is a support operation that handles higher volume with better quality, faster response times, and lower cost per ticket. Your Freshdesk configuration stays intact. Everything your team already knows and uses continues to work. Sentie simply makes the entire system smarter.

Ticket Routing That Understands Intent, Not Just Keywords

Freshdesk's dispatch rules route tickets based on conditions you define: channel, priority, subject line keywords, customer type, and group. For well-structured inputs like form submissions with dropdown categories, this works reliably. But customers rarely categorize their own problems accurately. Someone selects "billing" when their real issue is a product bug that causes incorrect charges. Someone writes "it's broken" in the subject line, giving keyword-based routing nothing useful to work with.

Sentie's routing agents analyze the full content of every ticket to understand the actual issue. They parse the customer's description, identify the root problem, assess complexity, and determine which team or individual is best equipped to handle it. The agents also factor in real-time context: agent availability, current workload distribution, expertise match, and the customer's account tier and history.

This means a ticket from an enterprise customer experiencing a critical integration failure reaches your senior technical team within seconds, while a straightforward password reset request routes to your automated resolution queue. The routing decision reflects what actually matters, not which keyword happened to appear in the subject line.

The agents learn from every routing correction your team makes. When a ticket gets reassigned, the agent records that signal and adjusts future routing decisions accordingly. Within weeks, routing accuracy typically reaches levels that would take months of manual rule refinement to achieve. Misrouted tickets, one of the biggest drivers of slow resolution times, drop dramatically.

Auto-Resolution That Customers Actually Appreciate

Every support team has a category of tickets that shouldn't require human attention: password resets, account status inquiries, subscription changes, basic how-to questions, and order tracking requests. These tickets are simple to resolve but consume significant agent time in aggregate. In a typical support operation, 30-40% of ticket volume falls into this category.

Freshdesk offers canned responses and solution articles for these cases, but they require the customer to find the right article or the agent to select the right template. Sentie takes this further by resolving these tickets end-to-end without any human involvement. The agent reads the ticket, identifies the issue type, verifies the customer's identity and account status, executes the resolution (resetting the password, processing the subscription change, retrieving the order status), and sends a personalized response explaining what was done.

The quality difference between Sentie's auto-resolution and generic chatbot deflection is significant. Sentie agents don't just point customers toward a help article and hope for the best. They understand the specific situation, perform the actual resolution action, and confirm the outcome in clear language. When a customer asks about their billing, the agent pulls their specific account data and provides a precise answer, not a generic link to the billing FAQ.

If the agent determines during processing that the issue is more complex than it initially appeared, it escalates to a human agent with full context already documented. The customer never has to repeat their problem, and the human agent picks up with a complete understanding of what was attempted and why escalation was triggered. Teams deploying Sentie for auto-resolution typically see a 30-45% reduction in human-handled volume within the first month.

SLA Management and Proactive Escalation

SLA compliance is a constant pressure in support operations. Freshdesk tracks SLA timers and sends reminders when tickets approach their deadlines, but by the time a reminder fires, you're already in reactive mode. The options at that point are limited: rush a response that might not be thorough, reassign the ticket to whoever is available regardless of expertise, or accept the breach and deal with the consequences.

Sentie's SLA agents take a predictive approach. Instead of watching the clock, they evaluate the likelihood of on-time resolution for every open ticket based on the issue's complexity, the assigned agent's current workload and historical resolution speed, and the time remaining. When a breach looks probable, the agent intervenes proactively with enough time to actually prevent it.

Intervention takes different forms depending on the situation. For tickets where the agent can auto-resolve, it does so immediately. For tickets needing human attention, the agent may draft a response for the assigned agent to approve with one click, cutting their response time dramatically. For complex tickets that need reassignment, the agent identifies the best available team member and transfers the ticket with full context. Every intervention is designed to prevent the breach, not just document it after the fact.

The agents also identify systemic SLA risks. If a particular ticket category consistently runs close to SLA limits, the agent reports the pattern so you can adjust staffing, training, or the SLA itself. If a specific time zone or channel has higher breach rates, that data surfaces in your regular reports. This shifts SLA management from firefighting individual tickets to optimizing the operation as a whole.

Support Analytics and Customer Sentiment Intelligence

Freshdesk provides standard support metrics: ticket volume, response time, resolution time, and satisfaction scores. These numbers tell you what happened but not why it happened or what's about to happen. Understanding the story behind the metrics requires analysis that most support teams don't have time for. Why did ticket volume spike last Tuesday? Which product area is generating the most frustration? Are repeat contacts increasing for a specific customer segment?

Sentie's analytics agents answer these questions automatically. They analyze ticket content at scale to identify trending issues, emerging product problems, and shifts in customer sentiment. When a new bug starts generating tickets, the agent detects the pattern within hours, well before it would show up in a weekly report. It categorizes the issue, estimates its scope, and alerts both your support team and your product team with a structured summary.

Sentiment analysis goes beyond the binary satisfied/dissatisfied rating. The agents evaluate emotional tone across interactions, identifying customers who are becoming increasingly frustrated even if they haven't given a negative satisfaction score yet. These early warning signals let your team intervene before frustration becomes a churn event. For high-value accounts, the agent can alert your customer success team directly when sentiment trends negative.

The agents also generate actionable reports for support leadership. Rather than raw data dumps, you receive narrative summaries: "Ticket volume for Feature X increased 40% this week following the 2.3 release. The most common issue is configuration migration, which suggests the upgrade documentation needs updating. Three enterprise accounts have contacted support multiple times about this issue." These insights arrive on schedule or on demand, formatted for the audience, whether that's your support team lead, your VP of Customer Experience, or your product manager.

What You Can Automate