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Your users report bugs and issues on WhatsApp, your website, and Instagram, not inside Jira. BotPenguin captures every conversation, gathers all the fields your team needs, and creates the Jira ticket automatically before anyone on your team opens their board.
Jira by Atlassian is the project and issue tracking platform that 65,000+ development and support teams run on. Jira Software powers sprint planning, backlog management, Kanban boards, and bug tracking for engineering teams. Jira Service Management handles ITSM, customer service requests, SLA tracking, and incident management. Used by NASA, Spotify, Airbnb, and Square, it is the industry standard for teams that need structured, trackable work management from first report to resolution.
Capture bug reports, feature requests, and support queries on any channel. When the conversation meets your conditions, BotPenguin creates the Jira issue automatically with summary, description, project, priority, and issue type pre-filled from what the user told the bot.
See AI Chatbots
For complex issues that need more context, the AI Agent holds a natural back and forth conversation, asks clarifying questions, gathers all required Jira fields, and creates the ticket before the conversation ends. Your team gets complete tickets, not half-filled ones.
See AI Agents
Set rules for which conversations trigger Jira ticket creation, which project they route to, what priority they carry, and what issue type they become. When the conditions are met, the ticket is created and routed automatically without anyone on your team doing it manually.
View IntegrationsJira is built to manage issues and projects once they have been logged. Development teams use Jira Software to plan sprints, track bugs, manage backlogs, and ship code with full visibility. Support teams use Jira Service Management to handle service requests, meet SLAs, and manage incidents. Once an issue is in Jira, the platform handles triage, assignment, prioritisation, and resolution with precision that no other tool matches at scale.
Jira does not reach your users first. There is no chatbot on WhatsApp, Instagram, or your website to capture issues where your users actually are. Every bug report, service request, or feature idea that comes in through a chat message requires someone to manually read it, create a ticket, copy the details, set the fields, assign the project, and set the priority. At scale, that process is slow, inconsistent, and error-prone. Industry research shows manual ticket creation takes an average of 15 to 20 minutes per issue and delays first response by 24 hours or more.
BotPenguin is the front door to your Jira board. It meets your users on every channel they use, asks the right questions to gather all the information Jira needs, and creates the ticket automatically in the right project with every field complete. Your team opens Jira to find structured, actionable issues, not a backlog of messages to decipher. The time from user report to Jira ticket drops from hours to seconds.
No developer needed. Three steps between you and automated Jira ticket creation from any channel.
Log in to BotPenguin, select your bot, and open the Integrate tab. Find Jira CRM in the list and click Connect. You need three things from your Atlassian account: your API token (generate one at id.atlassian.com/manage/api-tokens by clicking New API Token), your Atlassian account email address, and your Jira domain (the part of your dashboard URL that ends in atlassian.net, for example mycompany.atlassian.net). Enter all three into BotPenguin and click Connect. You will see the Integrated confirmation when the connection is live.
Step 1Map your chatbot questions to the corresponding Jira fields. Summary, description, issue type, priority, project, and any custom field your workflow uses. BotPenguin auto-fetches your bot question list, so configure your chat flow first. Once mapping is saved and you see the Mapped Successfully confirmation, every qualifying conversation creates a Jira ticket with the right fields filled.
Step 2Create a dummy lead through your chatbot that triggers ticket creation. Confirm the Jira issue appears in the right project with the correct fields, priority, and description. Once it looks right, turn it on for all live traffic. Every qualifying conversation creates a Jira ticket automatically from that point on.
Step 360 seconds
to create a fully-populated Jira ticket automatically, down from an average of 20+ minutes for manual creation, with every field already complete.
100%
field completion on issues created through BotPenguin, including environment, version, steps to reproduce, and priority, compared to an average of 40% field completion on manually created tickets across most support teams.
50%
less time spent on ticket triage and data entry, reported by support and development teams after deploying BotPenguin as the front-end capture layer, freeing time for actual resolution work.
Real ways development, support, and operations teams use BotPenguin to feed their Jira boards automatically.
Customers report order issues, payment failures, and product defects via WhatsApp chatbot. Jira tickets are created automatically with order number, issue type, and priority pre-filled for the operations and technical team.
Users report bugs via website chatbot. BotPenguin captures browser, OS, version, and steps to reproduce in conversation, then creates the Jira bug with every field complete for the engineering backlog.
Patient-facing technical issues and IT service requests are captured via WhatsApp chatbot and routed to Jira Service Management automatically with category and priority already set.
Property maintenance and system issues are reported via website chatbot and converted to Jira tasks automatically with property reference, issue type, and urgency pre-filled for the operations team.
Student and staff IT issues are reported via website chatbot and create Jira Service Management tickets automatically with category, affected system, and priority set without any manual triage.
Booking system issues and user-reported problems are captured via WhatsApp chatbot and create Jira issues automatically for the product and operations team with full conversation context attached.
Claims and policy system issues captured via chatbot create Jira tickets automatically with claim reference, issue type, and severity pre-filled for the technical and operations team to action.
Connect BotPenguin's conversational AI to your CRM, payment gateway, calendar and eCommerce platform in minutes. No-code, no disruption. Your existing tech stack stays exactly as it is.
Free to start. No credit card required.
Is the Jira chatbot integration free?
The Jira chatbot integration is included on every paid BotPenguin plan at no extra cost. View BotPenguin pricing to compare plans. You can test it during your free trial without a credit card. There is no separate charge for the connection.
Do I need a developer to connect Jira to BotPenguin?
No. You need three things from your Atlassian account: an API token (generated at id.atlassian.com/manage/api-tokens in under two minutes), your Atlassian account email address, and your Jira domain (yourcompany.atlassian.net). Enter all three into BotPenguin, map your fields on a visual screen, run a test, and go live. Most teams finish in under ten minutes.
Does the Jira integration work with WhatsApp?
Yes. Issues reported via WhatsApp are captured by your chatbot, all required fields are gathered in conversation, and a Jira ticket is created automatically with the WhatsApp conversation as the description. The same applies to your website, Instagram, Facebook, Telegram, SMS, and Microsoft Teams.
Which Jira fields can BotPenguin populate automatically?
Summary, description, project, issue type, priority, and any custom field your workflow uses. Every question your chatbot asks can be mapped to a Jira field during setup on a visual screen with no code required.
Does BotPenguin work with Jira Service Management as well as Jira Software?
Yes. BotPenguin works with both Jira Software and Jira Service Management. For service management, you can route conversations to specific request types and set SLA priority based on chatbot conversation data.
What happens when a user sends a follow-up message about an existing issue?
BotPenguin can add the follow-up conversation as a comment on the existing Jira issue rather than creating a duplicate ticket. All related communication stays in one place on the correct ticket.
