Conversational AI solution helping a healthcare technology

Conversational AI Cuts Ticket Resolution Time for a Healthcare Tech Company

Conversational AI Triage | Automated Query Resolution | 8-Week Deployment

At a Glance

IndustryHealthcare Technology
ServicesConversational AI Implementation, Automated Ticket Triage, Intent Recognition, Support Workflow Redesign
ChallengeAn overwhelmed support queue, manual triage on every ticket, and routine queries taking up agent time that complex cases actually needed.
SolutionDeployed a conversational AI layer that understood customer intent, resolved routine queries automatically, and routed complex cases to agents.
Key ResultTook the client from an overwhelmed queue to a fully deployed solution in 8 weeks.

About the Client

The client is a healthcare technology company whose support queue was growing faster than its agents could keep up with.

Client's Requirement

The client came to us with a support operation where every ticket, regardless of complexity, went through the same manual process. A few underlying issues kept surfacing across the engagement.

  • Manual Ticket Triage: Every incoming ticket needed a person to read it, figure out what it actually was, and decide where it should go — before any resolution work could even start.
  • Routine Queries Consuming Agent Time: A large share of tickets were simple, repeatable questions, but they still ate into the same queue and the same agent hours as genuinely complex cases.
  • No Intent Recognition: The support system had no way to understand what a customer actually needed from their message, so every ticket got treated as equally unknown.
  • Overwhelmed Support Queue: Ticket volume had outpaced what manual triage could keep up with, and the backlog kept growing instead of shrinking.

Solution We Delivered

We moved the client from manually triaging every ticket to resolving the simple ones automatically and routing only what actually needed a person. Each part of the engagement addressed a specific gap identified in the requirement phase.

Conversational AI Layer

Through our conversational AI development services, Aegis Softtech deployed a system that understands what a customer is actually asking, rather than treating every ticket as an unknown to be manually sorted.

Automated Query Resolution

Routine questions now get resolved by the AI layer directly, without ever reaching an agent's queue.

Intelligent Routing

Complex cases get routed straight to the right agent, since the AI layer has already ruled out everything it can resolve on its own.

Rapid Deployment

Our AI developers took the solution from design to full deployment in 8 weeks, so the client wasn't stuck redesigning support workflows for months while the backlog kept growing.

Ongoing Tuning

As part of our broader AI development services, we continued refining how the AI layer classified and resolved queries after launch, improving its performance as real ticket data came in.

The Results

The client saw the following outcomes:

Technology Stack

Is Manual Triage Slowing Down Your Support Queue?

Aegis Softtech helps support teams deploy conversational AI that resolves routine queries automatically and routes only what actually needs a person.

Whether your queue is already overwhelmed or you're looking to get ahead of growing ticket volume, our team can help you deploy a solution that scales with you.

Talk to a Conversational AI Specialist

*Client identity is confidential. Project details verified through internal delivery records. Reference available on request.*