How Aeion Helpdesk Actually Works
A closer look at the AI, reporting, routing, and self-service engine behind the pitch — for the technical evaluators on your team who want the details before they sign off.
Built for Speed, at Every Step
AI Ticket Analysis
Under 200ms per ticket
Auto-Resolution
Only fires above an 85% confidence bar
Knowledge Base Search
Under 100ms, understands intent not just keywords
Smart Routing
Under 50ms per assignment decision
Live Chat
Under 150ms message delivery
Reporting
A 90-day analytics report in under 5 seconds
A Ticket Comes In
Whether it arrives by email, live chat, or your self-service portal, every ticket is instantly read by AI: what's it about, how urgent, how frustrated is the customer. That analysis drives everything that happens next — no agent has to triage it first.
AI Decides — Resolve It, or Route It
If the AI finds a knowledge base article that confidently answers the question, it replies and closes the ticket automatically — genuinely resolved, no agent involved. Everything else gets routed to the right person using whichever strategy fits your team: round-robin, skill-based matching, current workload, a blend of both, or manual assignment. A support lead can also pin specific categories to specific teams — billing questions always go to the billing team, no matter what the general strategy says.
Agents Get AI Backup, Not Busywork
When a ticket does need a human, the agent isn't starting from scratch. They see the AI's summary, a suggested reply already drafted, and the customer's full history — CRM record, active subscriptions, past orders, prior tickets — in the same screen. Automatic reply-guarding keeps "thank you!" and out-of-office auto-replies from reopening closed tickets and corrupting your SLA numbers.
SLAs That Respect Business Hours
Response and resolution timers run against your actual business hours, pause automatically while you're waiting on the customer, and account for holidays. Tickets at risk of breaching escalate before they breach, not after.
Customers Can Help Themselves
Your self-service portal doesn't just list articles — it understands what customers are actually asking, so "how do I get my money back" surfaces your refund policy even if the article is titled "Cancellations & Refunds." Customers can also track their own open tickets without emailing to ask for a status update.
Reporting That Answers Real Questions
Ticket volume, resolution time, CSAT, agent performance, SLA compliance, and topic trends are all one click away — pick a report type, a date range, and get tables and charts instantly. Schedule any report to land in your inbox daily, weekly, or monthly, no one has to remember to run it.
Screen Share, When Words Aren't Enough
For issues that are easier to show than describe, agents can start a remote screen-share session directly from a ticket. Customers join with a single click — no software to install. Every session is recorded for compliance, and remote-control access is off by default: the customer has to explicitly grant it before an agent can take over their screen.
An AI diagnostic assistant can optionally join the session too, helping the agent spot the issue faster.
Ticket Handling Built for the Real World
Tickets don't always arrive clean. Two customers reporting the same bug should probably be one ticket, not two — so agents can merge them, combining the full conversation history. A single ticket covering three unrelated issues can be split apart, each tracked separately. Related tickets can be linked together, and internal notes let agents coordinate without the customer seeing the back-and-forth.
A Knowledge Base That Improves Itself
Every edit to a help article is versioned, so nothing is ever lost and any change can be rolled back. Behind the scenes, the system also watches for patterns: tickets everyone's asking that don't have a good article yet, and agent replies that work well enough to become the next article — turning your support history into a knowledge base that keeps getting better without extra effort from your team.
Frequently Asked Questions
Auto-resolution only fires above an 85% confidence bar. The engine reads customer sentiment first — anyone who reads as genuinely upset always goes to a human, never a bot — then searches your knowledge base by meaning, not keywords, and only replies and closes when it's confident the matched article actually answers the question. Everything below that bar is routed to an agent instead of guessed at.
Both. Agents can merge duplicate tickets into one, preserving the full combined conversation history, or split a single ticket covering unrelated issues so each is tracked separately. Related tickets can also be linked, and internal notes let agents coordinate on a ticket without the customer seeing the back-and-forth.
No. Response and resolution timers run against your actual business hours, account for holidays, and pause automatically the moment the ball is in the customer's court — resuming when they reply. Tickets at risk of breaching escalate before they breach, not after, so your SLA numbers reflect real agent responsiveness rather than customer delays.
No — remote-control access is off by default. An agent can share screen and audio and the customer joins with one click and no install, but the customer has to explicitly grant control before an agent can take over their screen. Every session is recorded for compliance, and an AI diagnostic assistant can optionally join to help spot the issue faster.
Every edit is versioned automatically, so nothing is ever lost and any change can be rolled back to a prior version. Beyond that, the system watches for patterns — recurring questions that don't have a good article yet, and agent replies that work well enough to become one — and drafts new articles from your resolved-ticket history so the KB keeps improving without extra effort.