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Your sources, your procedures, your connected systems. Nobody explaining what your product is or how your refund policy works before you can ask.
The same agent, turned around. A data analyst that already knows your business and every conversation it had, and an agent builder that writes the fix. You approve what ships.
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stuck > 24h#e9420adb#f79636f5+33 unassignedTrusted by over 100+ businesses
Done! I've created a product card layout with an image, title and subtitle for size or variants, the price, and an "Add to cart" button on each item.
It already knows your products, policies and connected systems, because it is your agent. And it's talked to your customers all day, unlike any analytics tool.
Your sources, your procedures, your connected systems. Nobody explaining what your product is or how your refund policy works before you can ask.
Every conversation it handled, across every channel. Not a sample someone exported, not the twenty tickets that got reviewed this week.
Put the two together and you get more than a report: what customers keep asking, and which instruction, source or step would answer them.
Not a dashboard with answers someone else chose for you. Ask the question you actually have, in plain English, and get it answered from every conversation.
"What are people asking about most this week?" "Why did refund requests double?" "What do customers say right before they cancel?" Ask it the way you'd ask a colleague.
It reads all of it. Themes across thousands of conversations, grouped so you can see them, rather than whatever surfaced in the last twenty tickets someone happened to review.
New questions appearing, old ones fading, complaints rising in one region or on one product. The shift you'd otherwise notice a month late.
Every answer links to the conversations behind it. Read the actual exchanges rather than trusting a number.
Most of what customers tell you isn't a support issue, it's product feedback nobody transcribed. Copilot surfaces it for the rest of the team.
Got it, I drafted a procedure to help with this.
It saw how your team handled the hard cases, and turns them into a procedure your agent follows next time.
Tighten the refund rule so the agent checks the order date before offering a replacement.
See exactly what would change, what it affects and why, in plain English rather than a diff.
The questions your sources don't answer, listed with a draft of the missing content.
Not "resolution is down four points," but the exact instruction to tighten.
Every change runs against your saved scenarios, so it arrives with evidence.
Take it as written, change it first, or turn it down. Rejecting one tells it something too.
What changed, when, who approved it, and what happened afterwards.
If a change didn't do what you hoped, undo it and put the previous version back.
Enhance Guzli by simplifying workflows and linking your preferred apps, with fresh integrations added regularly.
Read customer story“Figuring out what to automate and what needs a human — Guzli has been a great partner.”
Read customer story“Figuring out what to automate and what needs a human — Guzli has been a great partner.”
Read customer story“A genuinely capable clinical tool, deployed without an engineering team.”
Read customer story“A genuinely capable clinical tool, deployed without an engineering team.”
Read customer story“Guzli really enables us to control AI without letting AI control us.”
Read customer story“Guzli really enables us to control AI without letting AI control us.”
Guzli is committed to delivering the top customer support platform for those who demand excellence.
We follow industry-leading compliance standards and best-in-class encryption protocols to keep your customer data safe.
Full compliance with EU data protection standards.
Independently audited for security and reliability.
Built to handle protected health information safely.
Your data is only accessible to your AI agent and not used to train models.
Data is encrypted at rest and in transit using standard algorithms.
We use verified variables to ensure users access their own data.
Everything your agent already runs on, plus everything it has said. Your sources, your procedures and your connected systems on one side, and every conversation it handled across every channel on the other. Not a sample someone exported, and not the twenty tickets that got reviewed this week.
No. It runs on the setup your agent already has, so there is nothing to connect and nobody to brief on what your product is or how your refund policy works before you can ask a question.
In plain English, the way you would ask a colleague. "What are people asking about most this week?" or "Why did refund requests double?" both work. There is no query language and no dashboard to configure first.
Yes. Every answer links back to the conversations behind it, so you can read the actual exchanges rather than trusting a number.
Never. It drafts the change and shows you what would change, what it affects and why, in plain English rather than a diff. You approve it, edit it first, or turn it down. Rejecting one tells it something too.
Yes. Every proposed change runs against your saved scenarios first, so it arrives with evidence rather than as a guess.
Roll it back. Every change keeps a full history of what changed, when, who approved it and what happened afterwards, and putting the previous version back is one action.
One agent across the whole platform. The same knowledge, the same brand voice, wherever the conversation goes.
Join thousands of teams using Guzli to build AI agents that deliver exceptional support at scale — across chat, email, and voice.