Resolves complex, technical issues.
Before or after they become tickets.

Pluno is built for B2B companies with technical products, where customer issues need real troubleshooting, not just FAQ answers. It helps at every step: inside your product, in your help desk, and with your engineering team.

No. Each agent works on its own. Most teams start with one, like Deflection AI or the Product Agent, and add others as they see results. They all share the same knowledge, so each one you add benefits from the rest.

Yes. Pluno integrates natively into the help desk you already use, so your team gets the best AI without a migration or a major change in how they work. It also runs inside your own product through an embedded widget, in Slack, Jira, Linear, Microsoft Teams and incident.io for escalations, and in Discord and Telegram for communities.

Yes. Pluno isn't a replacement for your support platform. It adds an AI layer on top of your existing setup and works alongside your current tools and workflows, connecting to Slack, Jira, Linear, Microsoft Teams, incident.io and your internal systems. No migration, no rip-and-replace.

Most AI agents are trained on help center articles alone and only work after a ticket is created. Pluno learns from your actual resolved tickets (troubleshooting steps, diagnostic flows, edge-case solutions) and uses that knowledge at every step: inside your product, in the help desk, and with engineering. And unlike agents designed to deflect, Pluno only resolves when it has sufficient evidence and keeps human escalation available at all times.

Complex tickets are exactly what Pluno is designed for. It doesn't just match keywords to articles. It learns how your team actually diagnoses and resolves issues, asks follow-up questions to gather missing information, and searches across past tickets, Slack, Jira, and APIs to find the right answer. Innovorder uses Pluno for tickets that span both software and hardware and sees a 67% autonomous resolution rate. If you're not sure, we offer a free simulation on your own tickets so you can see results before committing.

Pluno is designed to answer only when it has sufficient evidence. It cross-checks multiple sources (past tickets, help center, internal tools) before responding. When confidence is low, it escalates to your team with full context instead of guessing. You can also run a free simulation on your own tickets to see how it performs before going live.

Pluno prioritizes the latest successful resolutions and cross-checks across sources before answering. When confidence is low, it escalates instead of guessing, so outdated information doesn't reach your customers.

Pluno connects directly to your help desk and starts learning from your historical tickets immediately. Most teams see the first useful results within days, without manually configuring workflows.

Yes. All data processing happens in Europe, and LLMs are hosted via Microsoft Azure. Model providers never have access to your data, and no models are trained on it. Pluno is SOC-2 Type 2 certified and fully GDPR compliant.

With an average resolution rate of 65%, teams typically save ~48% of agent time. For a 10-person US support team, that translates to roughly $334k in annual savings at a Pluno cost of ~$60k.

Pluno runs inside your help desk and your own product, and connects to Jira, Slack, Sentry, DataDog, APIs, and your documentation systems to gather the full context needed to resolve complex issues.

Yes, you can easily compare Pluno AI with your current AI agent by having us create a simulation for you. What is a simulation? We'll send you a link to our dashboard where you will see your last 50 real tickets. In each ticket you'll see the answer your current AI agent provided and also the answer Pluno AI would have provided for an easy side-by-side comparison. How to request a simulation? Simply book a demo by using any of the buttons available on our website. In our call, we can iron out the details and get started. Rest assured, this involves no lengthy setups or disruptions in your current flow. It will be an offline simulation which doesn't require you to deploy Pluno AI.