Yes. Aquant can help you ask better questions. It suggests clarifying questions based on past cases to guide you toward the root cause, even when the issue isn’t obvious.
No. If your hands are full, you can just call in. Aquant offers a voice-enabled assistant that understands your service questions and responds with conversational, guided instructions to solve problems fast.
Aquant gives you step-by-step troubleshooting guidance, relevant repair history, and access to manuals and schematics, all tailored to the asset you’re working on. You ask a question, and it helps you get to the root cause of the issue, fast.
Absolutely. Aquant levels the playing field by surfacing expert knowledge and guiding less experienced agents through the same process a senior expert would take without rigid scripts.
Behind the scenes, Aquant analyzes your question for intent and selects the most relevant AI agent, like suggesting parts, identifying error codes, or pulling up similar past cases.
It understands complex service questions and gives you instant access to verified answers, troubleshooting steps, and relevant case history without having to search through long documents or past tickets.
Yes. Aquant benchmarks your teams, regions, and individuals against internal best performers and against industry peers where relevant, helping you identify outliers and best practices.
You get:
AI for Service Leaders is Aquant’s analytics engine that transforms your service data into clear, actionable intelligence. It highlights where you’re leaking efficiency, which teams or regions need upskilling, and which products are driving cost.
All AI outputs are auditable and explainable. You can trace any recommendation back to the source, and apply strict guardrails to ensure compliance with internal and industry standards.
Yes. Aquant is fully configurable by product line, region, technician level, and more. It adapts to your workflows rather than forcing you into a template.
Most teams see measurable improvements in KPIs like first-time fix rate, mean time to resolution, and customer satisfaction within weeks of go-live.
Yes. Aquant can help you ask better questions. It suggests clarifying questions based on past cases to guide you toward the root cause, even when the issue isn’t obvious.
Behind the scenes, Aquant analyzes your question for intent and selects the most relevant AI agent, like suggesting parts, identifying error codes, or pulling up similar past cases.
Absolutely. Aquant levels the playing field by surfacing expert knowledge and guiding less experienced agents through the same process a senior expert would take without rigid scripts.
No. If your hands are full, you can just call in. Aquant offers a voice-enabled assistant that understands your service questions and responds with conversational, guided instructions to solve problems fast.
It understands complex service questions and gives you instant access to verified answers, troubleshooting steps, and relevant case history without having to search through long documents or past tickets.
Aquant gives you step-by-step troubleshooting guidance, relevant repair history, and access to manuals and schematics, all tailored to the asset you’re working on. You ask a question, and it helps you get to the root cause of the issue, fast.
Yes. Aquant is fully configurable by product line, region, technician level, and more. It adapts to your workflows rather than forcing you into a template.
You get:
AI for Service Leaders is Aquant’s analytics engine that transforms your service data into clear, actionable intelligence. It highlights where you’re leaking efficiency, which teams or regions need upskilling, and which products are driving cost.
Most teams see measurable improvements in KPIs like first-time fix rate, mean time to resolution, and customer satisfaction within weeks of go-live.
All AI outputs are auditable and explainable. You can trace any recommendation back to the source, and apply strict guardrails to ensure compliance with internal and industry standards.
Yes. Aquant benchmarks your teams, regions, and individuals against internal best performers and against industry peers where relevant, helping you identify outliers and best practices.
Absolutely! Roger (Aquant's voice AI) is capable of triggering multiple tasks simultaneously. For example, it can interact with agents built within Aquant’s Agent Studio, third-party agents, or even various third-party MCP tools. It can also connect to a wide range of backend systems through Aquant’s connectivity platform. This means the agent can not only read information from these systems but also modify it as needed. In other words, it’s fully equipped to handle multiple workflows at once, making it really flexible for your needs.
Yes, absolutely! There are a couple of ways to handle authentication. One method is using Roger (Aquant's voice AI) directory of authorized callers, where Roger checks incoming calls against that list and rejects unauthorized ones with a customizable message. Additionally, Roger can also integrate with external identity providers to verify if a caller is authorized. This means it can reach out to these external systems to confirm caller identity before letting them through. All of this is configurable and the caller info can be passed along to downstream CRM tools if you have those set up. This should help ensure only the right callers get through!
Absolutely. Aquant is multimodal in several important ways. Users can interact with it using text, voice, files, and images. Aquant can ingest and reason over complex enterprise content like service manuals, logs, spreadsheets, schematics, tables, images, videos, and even handwritten notes embedded in documents. Outputs are generated by reasoning across all of that content, not just text. And beyond UI-based interaction, Aquant also supports voice AI via phone calls, which adds an entirely new interaction modality for service use cases. So we are multimodal at the input layer, content layer, and interaction layer.
Yes. Aquant can accelerate onboarding with a dedicated Training Agent that supports technicians before and during live jobs. It can: