Conversational AI has spent the last few years promising to fix support. Instead, what showed up was bots that check order status and answer FAQs, then hand everything else (the actual hard part) back to a human with zero context and a frustrated customer already on the line.
Here's what that looks like in practice. A customer calls in and says:
"My air conditioner is making a loud buzzing sound." "My refrigerator is showing error code E22." "My washing machine won't drain."
Generic conversational AI hears these and comes to a halt. It can't diagnose a buzzing compressor or walk someone through clearing an E22 code, so the call gets escalated, often with no record of what the customer already tried. The result is longer handle times, more escalations, and support experiences that leave both customers and call center agents worse off.
Aquant picks up where other conversational AI quits. Built specifically for product and equipment support, it doesn't just talk to customers, it troubleshoots with them – and with visual assistance, resolving up to 10x more calls before a human ever needs to step in.
What makes it different
It actually resolves product support calls. Instead of routing every complex issue straight to a live agent, Aquant's AI walks customers through real troubleshooting, only escalating when a human is truly needed.
It sees what the customer sees. With Vision AI, customers simply point their phone at the product. No app to download, just a link to tap. From there, Aquant guides them through the fix with on-screen annotations, the same way an expert technician would if they were standing next to them.
It fits into what you already have. Aquant layers onto your existing stack (Salesforce, ServiceNow, Microsoft Copilot, Agentforce, Aquant's Agentic AI platform, etc.) so it isn't a start-from-scratch project. It's an upgrade to the systems your team already runs on.
It keeps call managers in the loop, not out of it. Supervisors can monitor every AI-led interaction in real time, coach the AI agent, listen in on live calls, or take over instantly when a situation calls for it. Nothing happens in a black box.
Built for three different people, in three different ways
For customers, it means immediate resolutions — 24/7, in 30+ languages, across phone, SMS, vision, or any channel. No app install, no waiting on hold, no repeating yourself to the third person you've been transferred to. Just a camera-based diagnosis, tailored to who they are and what product model they own.
For the call center (i.e., the people managing AI agents), it means going from overseeing one queue to overseeing dozens of AI-handled interactions at once, with a Control Center built for exactly that. Live sentiment analysis and whisper guidance mean managers can step in with the right coaching at the right moment, or take the call over entirely when needed.
For IT, it means standing up new service experiences in minutes, not months. It means connecting to the data and knowledge you already have in your CRM, and building out interaction flows without months of custom engineering. Every interaction is analyzed, learning from outcomes, sentiment, and feedback to continuously improve performance. At the same time, Aquant surfaces product trends and service insights, giving the business a clearer view of what's happening in the field.
The bottom line
Support teams don't need another bot that checks order status. They need AI that handles the service calls consuming their day, guiding customers through fixes on their own instead of sending every issue into the queue.
That's what Aquant is built to do: scale service without scaling headcount, and free support teams to focus on the cases that truly require their expertise.
Aquant is trusted by service organizations including Makino, Beckman Coulter, Terex, JLG, Stryker, Elekta, Cytiva, Comfort Systems USA, Waters, and Outset. Learn more at aquant.ai.