---
title: Pluno Reviews
meta_title: 'Pluno Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how Pluno works for a business like yours.
aggregate_rating:
  rating_value: 4.8
  review_count: 3
  scale: '5'
date_modified: '2026-06-04'
parent_category:
  name: AI Agents
  url: https://www.g2.com/categories/ai-agents
---

# Pluno Reviews
**Vendor:** Unbrained GmbH  
**Category:** [AI Customer Support Agents Software](https://www.g2.com/categories/ai-customer-support-agents)  
**Average Rating:** 4.8/5.0  
**Total Reviews:** 3
## About Pluno
Pluno is an AI customer support agent that integrates directly into your support platform (Zendesk, Intercom, Salesforce, etc.). Unlike other AI agents that are side products of companies focused on the entire platform (like Intercom and Zendesk), Pluno is platform-agnostic and built specifically to function as a customer support agent. What makes Pluno different? Pluno learns from: \* Past tickets and resolutions \* Connected tools and systems, like: \* Jira (where escalated tickets to engineering live) \* Slack (where teams internally discuss issues) Most other tools rely primarily on static knowledge bases like help center articles and docs. Pluno uses those too, but it isn’t limited to them. Because of this, Pluno has an unmatched ability to answer and resolve tickets autonomously. How does it resolve more tickets? Where other AI agents try to force a ticket’s situation into an outdated help center passage, Pluno can leverage the tribal knowledge that lives in your best agents’ heads, captured in past tickets and ongoing discussions. It also knows when to back off and smoothly hand off the ticket to your team. When it hands off: When Pluno hands off a ticket, it provides a clear summary and full context so a human agent can get up to speed instantly. Then it acts like a copilot to help the agent: \* Escalate to engineering, with auto-generated Jira issue descriptions (based on your templates), auto-filled required fields, etc. \* Resolve the issue faster, with suggested replies that include reasoning and references, plus the ability to chat and fetch any needed info from all existing knowledge in seconds. The simple way to think about it: Think of Pluno as adding an extremely capable support agent to your team, with uncapped capacity, access to all knowledge (even what lives in your best agents’ heads), and a cost lower than a full-time employee.




## Pluno Reviews
  ### 1. Pluno has become a meaningful lever for support efficiency

**Rating:** 5.0/5.0 stars

**Reviewed by:** Victoria H. | CTO, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 11, 2026

**What do you like best about Pluno?**

What we like best is that Pluno drives measurable outcomes, not just AI activity. In a recent week, we had 4,124 tickets in total, and 2,347 of them were resolved by Pluno, which represented 56.9% of our overall volume. That kind of impact materially changes how our support team operates. We also like that the dashboard makes performance easy to understand. We can see clearly what was AI resolved, what needed team handling, and what was handled at the practice level. That visibility helps build trust internally because the results are concrete.

**What do you dislike about Pluno?**

There is not a major downside from our perspective, but like any platform supporting live operations, there is always room to expand configurability and make it easier to fine tune behavior for specific support edge cases. The core value is clear, and most of our feedback would be about incremental improvements rather than fundamental issue

**What problems is Pluno solving and how is that benefiting you?**

Pluno is helping us reduce the amount of ticket volume that needs direct involvement from our internal team. During the period we reviewed, only 265 tickets, or 6.4% of total volume, needed to be handled by the team. That is a strong result relative to the overall ticket load. The benefit for us is better scale and better focus. Instead of spending time on every incoming request, our team can concentrate on the tickets that truly need human attention. It also creates a more structured workflow between AI resolution, team handling, and practice-level handling. Overall, it has improved efficiency and helped us manage support volume more sustainably.

  ### 2. A high-impact AI support workflow tool that saves time and adapts to real support teams

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 24, 2026

**What do you like best about Pluno?**

We’ve been using Pluno for about 2 months, and it has already become a meaningful part of our support workflow.

The biggest benefit has been time savings. Pluno helps automate and streamline tasks that would normally take multiple manual steps, especially around Zendesk and Jira. It has been particularly valuable for filling mandatory Zendesk fields, structuring Jira bug reports, gathering context, and helping standardize escalations. In many cases, it acts as a strong second layer of validation before tickets or responses are submitted, which reduces back-and-forth and improves consistency across the team.

What stands out most is how context-aware the AI is. The suggestions are generally accurate and aligned with our internal processes, even in more complex scenarios like classification, prioritization, and documenting observed vs. expected behavior. That has made a real difference when handling high ticket volume.

Setup was also surprisingly easy. Being able to configure workflows using natural language instead of scripts made adoption much simpler for the team. On top of that, debugging outputs has been very manageable thanks to the logging functionality Pluno added for us. It makes it easy to understand how Pluno arrived at a result, refine prompts when needed, and quickly identify whether an issue is related to workflow design or AI behavior.

Another major strength is the Pluno team itself. They have been highly receptive to feedback, quick to address issues, and very thoughtful in how they partner with us. Their approach feels collaborative rather than one-size-fits-all. A great example is when we needed a Notion integration for our documentation workflows. They moved quickly and delivered a native integration that fit our needs instead of pushing us toward a workaround.

Collaboration has also improved because Pluno helps keep Zendesk, Jira, and Slack better aligned. Having shared context across tools reduces communication gaps and helps everyone stay on the same page without constantly switching platforms.

There are still some areas to improve. We’ve experienced occasional performance issues, including slower load times when certain fields were added to a project, and there is still some ongoing optimization needed. We’ve also found that some ticket summaries inside Zendesk can occasionally feel a bit disjointed or lose context. A format that preserves the original comment more clearly and pairs it with a recommended next action would make that feature even stronger.

Overall, Pluno has been one of the most in-depth and accurate AI tools we’ve used so far. It has improved efficiency, reduced manual effort, and the team behind it has been a big part of why the experience has been so positive.

**What do you dislike about Pluno?**

Currently we don't have much to dislike we love how responsive the Pluno team is to our unique needs

**What problems is Pluno solving and how is that benefiting you?**

The biggest benefit for us has been the time savings. Pluno automates and streamlines tasks that would normally require multiple manual steps, especially across Zendesk and Jira. It’s been particularly valuable for filling mandatory Zendesk fields, structuring Jira bug reports, gathering the right context, and helping standardize escalations. In many cases, it serves as a strong second layer of validation before tickets or responses are submitted, which cuts down on back-and-forth and improves consistency across the team.

What stands out most is how context-aware the AI is. The suggestions are usually accurate and aligned with our internal processes, even in more complex situations like classification, prioritization, and documenting observed vs. expected behavior. That’s made a noticeable difference when we’re dealing with a high ticket volume.

Setup was also surprisingly straightforward. Being able to configure workflows using natural language instead of scripts made adoption much easier for the team. Debugging has been manageable as well, thanks to the logging functionality Pluno added for us. It’s easy to see how Pluno arrived at a result, refine prompts when needed, and quickly determine whether an issue is related to workflow design or AI behavior.

  ### 3. Deflection Agent and Jira Integration That Delivers

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sarala C. | Support Team Lead, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 23, 2026

**What do you like best about Pluno?**

The deflection agent and Jira integration

**What do you dislike about Pluno?**

Unable to provide direct feedback/refinement on specific answers provided to Customers by the deflection agent

**What problems is Pluno solving and how is that benefiting you?**

Saving time and making my agents more efficient. Closing feedback loops on tickets and keeping communication between Support and Engineering well-organized.



- [View Pluno pricing details and edition comparison](https://www.g2.com/products/pluno-pluno/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-16+13%3A52%3A26+-0500&secure%5Bsession_id%5D=1701171d-278a-401a-95ce-812356e095e1&secure%5Btoken%5D=ed69909aa2e3706234a36cdea18ac55c533fd4b7ad5838074c1c7c6f1eca1618&format=llm_user)
## Pluno Integrations
  - [Zammad](https://www.g2.com/products/zammad/reviews)
  - [Zendesk for Customer Service](https://www.g2.com/products/zendesk-for-customer-service/reviews)

## Pluno Features
**Customer Query Resolution - AI Customer Support Agents**
- Automated Ticket Resolution
- Contextual Response Generation
- Sentiment Analysis
- Knowledge Base Utilization
- Multilingual Support

**Agentic AI - AI Agents**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

**Customer Interaction Automation - AI Customer Support Agents**
- Proactive Customer Outreach
- Feedback Collection
- Escalation Handling
- Workflow Optimization

**Automation**
- Customer Interaction Automation
- Feedback Collection
- Document Processing

**Autonomy**
- Independent Decision Making
- Adaptive Responses
- Task Execution
- Problem Solving

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