Compare
See how Pluno compares on knowledge, automation, agent assistance, setup and cost.
Innovorder resolves 67% of its chat tickets with Pluno. Read the story · Last updated October 2026
Works inside your help desk
Zendesk, Intercom, Salesforce Service Cloud, HubSpot and Jira Service Management.
Uses the knowledge you have
Past tickets, docs and internal tools, with nothing to rewrite first.
Covers the whole workflow
Answers, agent assistance, escalations, tagging and QA.
To scale support, teams usually pick one of these: the AI built into their help desk, a standalone AI agent, a chatbot builder, more human agents, or an AI layer like Pluno. Many teams combine them, for example AI for repeated questions and people for the rest.
Pluno is an AI layer you add directly inside your existing help desk, so AI can support every part of your support workflow without changing how your team works.
The help desk vendor's own AI features.
e.g. Zendesk AI, Fin in Intercom, Agentforce in Salesforce, Breeze in HubSpot
A separate AI agent that connects to your help desk.
e.g. Fin on other help desks, Ada, Decagon, Sierra
Scripted decision trees and FAQ bots.
e.g. Landbot, Chatfuel
Hiring in-house, or handing tickets to an outsourcing partner (BPO).
The differences that decide most evaluations come first. Pluno's column reflects the product as of October 2026; the other columns describe each category as a whole, so individual products and plans vary.
Some products appear in two columns. Fin, for example, is built into Intercom and is also sold for other help desks. Its AI is the same in both; the columns differ in how it is packaged, priced and connected to your help desk.
| Capability | Pluno | Built-in AI | Standalone AI agent | Chatbot builder | More human agents |
|---|---|---|---|---|---|
| Examples | Works inside your help desk | Zendesk AI, Fin in Intercom, Agentforce in Salesforce, Breeze in HubSpot | Fin on other help desks, Ada, Decagon, Sierra | Landbot, Chatfuel | In-house hires or outsourcing partners |
| What it covers | The whole support workflowAnswering tickets, agent assistance, escalations, tagging and QA | AI features for one help deskSome AI features need a higher plan or an add-on3 | Mainly the customer-facing AI agentTools for human agents vary by vendor | Scripted website conversationsBuilt for predictable questions | Everything, within headcount and hoursCapacity grows only with hiring |
| How it connects to your help desk | Inside it, as a native appAgents keep working in the ticket view they already use | Part of the help deskOnly available on that vendor's help desk | Through an integrationFin, for example, connects to Zendesk, Freshdesk, Salesforce and HubSpot5 | A widget on your websitePasses conversations to the help desk | They work in the help deskEach hire needs access and training |
| How much of your existing knowledge it uses | Every source you connectPast resolved tickets, help center, docs, internal tools such as Slack or Jira, and live data through APIs, with nothing to rewrite first | Mainly the help desk's own contentSuch as help center articles and macros; other sources depend on the vendor's connectors | Mainly knowledge bases and docsAda, for example, learns from knowledge bases, websites and articles; use of past tickets varies by vendor9 | Only what is written into the flows | What your agents know and documentNew hires need time to ramp up |
| Complex, multi-step tickets | Built for themSeveral rounds of searches and follow-up questions, replying only when sources agree | Varies by vendor and setupMulti-step flows are built with the vendor's own tools, such as Fin Procedures in Intercom7 | Strong on configured workflowsBuilt as written procedures, such as Fin Procedures or Decagon AOPs7,8 | Only what the script covers | YesWithin each agent's experience |
| When they are unsure | Escalates with a research summaryA human agent gets ticket references and next steps, and can bring in Pluno's other AI agents to troubleshoot and write up reproduction steps | Hands over to an agent | Hands over to an agentHow much context comes along depends on the integration | Falls back to a form or a human | Escalate to a higher tierSuch as T2 or T3 |
| Pricing model | Base fee by ticket volume, plus modular add-onsPer resolved ticket, per seat, per agent or monthly credits | Per-seat plans plus AI usageSome AI features are gated by plan, and AI agents are billed by usage, such as $2 per conversation for Agentforce3,4 | Per resolution or per conversationFin, for example, charges $0.99 per outcome with a monthly minimum6 | Plan or seat price | Salaries or a contractPlus hiring, training and management |
| Time to first results | DaysWith dedicated onboarding | Days to monthsDepends on how complete your help center is | Days to monthsSelf-serve tools are quicker; enterprise rollouts take longer | Days to weeksDepends on how many flows you build | MonthsTo hire and train |
Compare Pluno with
e.g. Zendesk AI, Fin in Intercom, Agentforce in Salesforce, Breeze in HubSpot
What it covers
How it connects to your help desk
How much of your existing knowledge it uses
Complex, multi-step tickets
When they are unsure
Pricing model
Time to first results
Vendor details checked against each vendor's own pages in October 2026. Product facts for Pluno: pluno.ai/facts.
An example for a team with 2,000 tickets a month, where Pluno fully resolves 40% of them and 5 agents use AI Copilot.
Example only, not a quote. Annual billing lowers the base fee by 15%. Escalation Copilot, AI Tagging and call summaries are included in the base fee; Quality Assurance and the Troubleshooting Agent are add-ons. See pluno.ai/pricing for every plan.
Each option is the right call for some teams. This is how to tell which one fits yours.
Pluno fits teams that want AI across their whole support workflow without changing help desk, especially when tickets are technical or take several steps to solve.
Built-in AI fits teams that prioritize one vendor and close integration with their existing help desk.
A standalone platform fits teams whose main priority is autonomous, customer-facing resolution, and who are ready to manage the AI agent in a separate tool.
A chatbot builder fits teams with low volume and questions that follow fixed, predictable paths.
Adding people fits teams where nearly every ticket needs human judgement, such as negotiations or sensitive cases.
Pluno is not the right choice in two situations.
67%
of chat tickets resolved by AI
Innovorder
50%
ticket deflection, up from 0%
Kojo
22 min
first response time for human agents with AI assistance, down from hours
Smartness
58%
of routed tickets handled by the AI Agent
Velotric
Six Pluno apps on the Zendesk Marketplace, all rated 5 stars across 81 reviews (October 2026).
Questions buyers ask most often when choosing AI for support.
It depends on your tickets and your help desk. For simple, repeated questions, most AI agents do well. For technical or multi-step tickets, look for one that learns from your resolved tickets, replies only when its sources agree, escalates with context and works inside the help desk you already use. Pluno is built for that case.
Built-in AI makes sense if you prioritize one vendor and close integration with your help desk; check its knowledge sources, workflows and plan requirements against your tickets. A layer like Pluno makes sense if you want AI across your whole support workflow, built on the knowledge in your past tickets and internal tools, especially when tickets are technical.
Often, yes, when the same questions keep coming back or agents lose time searching for answers. Pluno's smallest plan covers up to 500 tickets a month, and a free simulation on your last 50 tickets shows how it would have answered each one before you decide.
AI takes over repeated questions and busywork, so agents spend their time on tickets that need judgement. With Pluno, agents get drafted replies, thread summaries, automatic tagging and pre-filled escalations, and QA scores every conversation, so coaching is based on all tickets rather than samples.
With Pluno, most teams see the first useful results within days. It connects to your help desk and starts learning from your past tickets right away, and every customer gets dedicated onboarding covering the help desk connection, knowledge sources, AI workflows and go-live.
No. Pluno treats your resolved tickets as primary evidence, so the troubleshooting steps your agents already use count even if nobody wrote them up as articles. Help center articles, docs, Notion, Confluence, uploaded files and connected APIs add to that.
Choose an agent that cross-checks its sources and is allowed to hand over. Pluno replies only when its sources agree, and when evidence is thin or conflicting, or a business decision is needed, it escalates with a research summary instead of guessing. AI Workflows add your own rules, such as sending certain topics straight to your team.
No. No models are trained on customer data, and model providers never access it. Pluno is SOC 2 Type II certified and GDPR compliant, all data processing happens in Europe, and a Data Processing Agreement is available.
With Pluno, a resolution is a ticket the AI resolved fully, without a human. Escalated tickets are never counted. Every AI-resolved ticket is tagged in your help desk, and you can export the full list for any billing period to check the invoice.
Yes. Pluno runs a free simulation on your 50 most recent tickets and shows side by side how it would have answered each one, with nothing to deploy. There is also a 14-day free trial with access to every module and no credit card required.
Get a free simulation that shows how Pluno would have answered each of your last 50 tickets. Nothing to deploy.