98% faster resolution time
Tinybird migrated off Jira Service Desk in two days, then saw enterprise resolution time drop from 6 days to 2 hours.
Plain vs Jira Service Management
Why support teams choose Plain over Jira
Jira Service Management is an ITSM platform with a customer support product added on. Plain is built for B2B customer support, with AI that resolves routine questions, investigates the hard ones, and escalates when a human is needed.
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COMPARISON TABLE
How Plain compares with Jira Service Management, side by side
Plain
Jira Service Management
What it was built for
Customer support, from the ground up
SLAs, tiers, and routing are yours to configure in the workflow builder or through the API. AI resolves what doesn't need a person, with the option to bring your own agent.
IT and employee service
Atlassian itself says JSM was built for employee support and operations teams, delivering service internally. Customer Service Management came later, bundled with asset tracking, change management, and on-call scheduling.
Channels
One queue for every support channel
Messages from Slack, Microsoft Teams, Discord, email, chat, and in-app land in one inbox. Conversations are bi-directional, with customers receiving your responses natively in the channel they're already in.
Portal, email, chat, and voice
Requests can be submitted through Slack and Microsoft Teams, but they land as work items in a service project rather than the conversation living in the channel. Discord is not supported.
Architecture & API
Customer infrastructure, full API
100ms UI, a GraphQL API with full UI parity, headless builds, and no rate limits.
Jira's REST API and Marketplace apps
Capable, but you are extending a project tracker. Anything support-shaped that Jira doesn't model becomes a custom field, a plugin, or an admin request.
Customer context
Full customer context, directly on the ticket.
Every ticket is tied to a customer and their account, with tier, support volume, and open tickets. Bring in fields from your CRM or your own database, and build custom cards from your own API.
Teamwork Graph and Jira fields
Context is assembled from Atlassian tools and connected third parties. Real-time product state from your own systems means custom fields and an admin.
AI packaging
AI included, billed on usage
Plain's Customer Agent resolves tickets end to end. Sidekick Agent investigates the hard ones across your stack. No separate SKU. Both run on the credits included in your plan.
Three meters
Rovo credits are capped per user per month: 250 on Standard and 700 on Premium. The virtual service agent needs Premium and bills at $0.30 per assisted conversation above 1,000 a month. CSM meters AI agent resolutions separately.
Bring your own agent
Run your own model
Run any LLM or third-party agent through the API and Machine Users, alongside or instead of Plain's own agents. Plain handles routing, queues, SLAs, and handoff.
Tune Atlassian's
Agent Studio lets you customize the tone, behavior, and actions of Atlassian's agent. It is not a path to running your own model inside the support flow.
Jira integration
Two-way native integration
A customer reports a bug in Slack, it becomes a Plain ticket, the linked Jira issue goes to engineering, and status flows back so the customer gets updated.
Same platform
Support and engineering work in one system, which some teams want and others find means support inherits engineering's workflow.
Pricing
Published, AI included
$45/user/mo Foundation, $99/user/mo Horizon, custom Frontier, billed annually. AI credits included, viewer seats free, 7-day trial with no credit card.
$20 per agent, plus meters
Free for 3 agents, Standard $20, Premium $51.42, Enterprise on quote and annual only. CSM is included at no extra cost. Assets bill at $0.02 per object above 5,000, and assisted conversations at $0.30.
Migration
Live in days, not months
Live in days, fully migrated in one to two weeks for most teams. Our Freshdesk importer brings your full history across, private notes included, and keeps syncing until you cut over. For very large accounts we write a custom import script with you.
plain/migrateYour export competes with your integrations
Getting history out draws on the same account-wide per-minute limit your live integrations use, and the ticket list endpoint is capped separately at 20 calls per minute on Growth.
atlassian/jira-rate-limitsThe top reasons why B2B teams choose Plain
Your customers don't file tickets in a portal.
They message you in Slack, Teams, Discord, email, or in-app. In Plain they stay where they already are. In Jira, their message opens a work item they follow in the Jira portal.
No more retyping bugs into Jira.
A bug reported in Slack becomes a Plain ticket, links to a Jira issue, and the status flows back automatically. Your engineers stay in Jira, and your team stops copying between two tools.
One price, AI included.
Published in full, billed on usage, no per-agent AI tier. Rovo's virtual agents need Premium at $51.42 per agent per month.
What companies are seeing with Plain
20x support capacity
n8n scaled support volume 20x while growing the team just 2x. AI handles 60% of tickets.
50 hours saved each week
Resend reclaimed 50 hours a week across a five-person team that handles 1,000 tickets weekly.
95% faster first response time
Voltage Park cut first response time from over an hour to 3 minutes after leaving a legacy help desk.
With Plain, we’re not just reacting anymore. We’re getting ahead of issues, keeping product in the loop, and giving customers the help they need faster.
Ramiro Aznar Ballarín
Support Manager, Tinybird
Migrated off Jira in 2 days
How we make migrating to Plain easy.
Migrating a system of record isn't what anyone gets excited about. So here's what the process actually looks like, in specifics.
1
Your engineering team keeps Jira.
This isn't a rip-and-replace of your engineering tooling. Jira stays where your engineers work. Plain takes the customer-facing side, and the two-way integration keeps them in sync.
2
We buy out your contract.
If you're mid-contract with Atlassian, we'll buy out your remaining months so you're not paying twice.
3
We create an action plan.
Week 1: sandbox setup and test import. Week 2: pilot with 4 to 5 power users, then full rollout. Jira stays read-only for reference.
4
We rebuild what matters.
We treat migration as a reset, not a lift-and-shift. We don't replicate your Jira project structure in Plain. We figure out what you were actually trying to achieve, and build that instead.
Our honest comparison promise
Most comparison pages are dressed-up sales collateral.
Comparison tables are especially easy to rig: choose the rows carefully enough, and one side always wins.
Competition is good. Selective, outdated comparison pages aren’t.
So here's our promise. Every row in our table cites a source, covers both products in the same level of detail, and includes the places where Jira Service Management is the better choice. If you've received a comparison about Plain from a competitor, or found a false claim here, we're happy to fact-check and correct: factcheck@plain.com.
Simon Rohrbach
Co-Founder & CEO, Plain
Where Jira Service Management may be a better fit.
You're running ITSM, not customer support.
IT, HR, finance, and facilities requests from your own employees are what JSM was built for. Plain doesn't do any of it and isn't trying to.
You need phone support.
Jira Customer Service Management has Voice AI that answers calls 24/7 and turns them into work items. Plain has no voice channel.
You want one tool for engineering and support.
If your support team is small and mostly relays bugs to engineering anyway, keeping both in Jira removes a handoff. Plain adds a tool to your stack to remove a translation layer, which is the opposite trade.
Questions and answers.
Frequently asked questions we get when comparing Plain and Jira Service Management.
What is the difference between Plain and Jira Service Management?
Jira Service Management is a service desk built on Jira. It's strongest at internal IT and engineering service management: change management, incident and problem workflows, asset tracking, and requests from your own employees. Atlassian added a separate Customer Service Management app in October 2025 to cover external support. Plain is infrastructure built for customer support from the start. Conversations, customers, and tenants are the data model, not issues in a project. Jira suits teams whose support is an extension of engineering. Plain suits teams whose support is its own function with its own channels, SLAs, and AI.
Can Plain replace Jira Service Management?
For customer-facing support, yes. Tinybird moved off Jira Service Desk in two days. For ITSM, no, and we don't try. Most teams keep Jira for engineering work and put Plain in front of the customer, with the two-way integration linking the two. If your JSM instance is mostly internal IT requests, Plain is not your replacement.
Is Jira Service Management meant for customer support?
Partly. It started as a service desk for internal IT and grew into enterprise service management. In October 2025 Atlassian bundled it with a new Customer Service Management app, Assets, and Rovo into the Service Collection, and stopped selling JSM and Assets separately. So external support is now something Atlassian sells. The question is whether an app added to a service management platform gives your support team the channels, context, and speed that a purpose-built tool does.
How does Plain's pricing compare with Jira Service Management's?
Plain publishes its prices: Foundation at $45/user/month, Horizon at $99/user/month, and Frontier custom, billed annually, with a 7-day free trial and no credit card required. AI is included and billed on usage, and viewer seats are free. Jira Service Management is sold inside Atlassian's Service Collection: free for up to 3 agents, Standard at $20 per agent per month, Premium at $51.42, and Enterprise on a quote with annual billing only. Premium is where AI virtual agents, change management, and asset management live, at two and a half times the Standard price.
Is Jira Service Management expensive?
Standard is cheap per agent, and requesters are free, which makes it good value for a high-volume internal service desk. The cost shows up at the Standard to Premium step. AI virtual service agents and change management both sit behind Premium, so a team that wants AI on its support pays $51.42 per agent rather than $20. Marketplace apps, implementation, and admin time add on top, and they're where support-shaped functionality usually comes from.
Is Plain or Jira Service Management better for Slack support?
Plain runs Slack as a native customer channel on every plan: 25 channels on Foundation, unlimited on Horizon and above, with Microsoft Teams on Horizon and Discord on Frontier. A message in a private customer channel is a ticket, with an SLA, and everything the Slack channel can do is available through the API. Jira's Slack and Teams integrations are built for your internal team to see and act on issues. Customers still go to the portal or email. Discord isn't supported.
How hard is it to migrate off Jira Service Management?
Easier than most, because you probably aren't leaving Jira. Engineering keeps working in it. What moves is the customer-facing layer: the queues, the SLAs, the conversations. Tinybird completed their move from Jira Service Desk in two days. Most teams are live in days and fully migrated in one to two weeks. Plain's two-way Jira integration means the link to engineering work survives the move.
Does Plain integrate with Jira?
Yes, two-way. A conversation in Plain links to a Jira issue, and when the issue moves, the status flows back to the thread so your team can tell the customer without checking Jira. That's the point of running both. Support stops translating between the customer and the backlog.
Can Plain's AI actually do the work, or just draft a reply?
Plain's AI does more than draft. Customer Agent resolves tickets end to end with citations back to your knowledge base. Sidekick Agent investigates the way an engineer would: checking deploys in GitHub, pulling Datadog or Sentry errors, searching past tickets, and attaching what it finds. It's included in the plan rather than gated to a premium tier, and you can run your own LLM or a third-party agent alongside it through the API.
Does Plain require an engineering team to run?
No. Support teams of two to two hundred run on Plain day to day. The smallest is two co-founders with no support function at all. Both agents work with no code, started from a ticket, Slack, a workflow, or a schedule. Engineering enters when you want it to: a custom headless portal, your own AI agent, or context from your own API.