A · Integration 006 / 2026 Jira · Projects · Tickets Est. read 2 min

AI search for your Jira tasks and tickets.

Archively connects to Jira and turns every project, ticket, comment, and attachment into one searchable system you can ask in plain English. Built for founders and ops teams whose Jira board has grown into thousands of tickets where the right one exists, but JQL won't help you find it.

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ENG-1284 Auth refactor PROD-892 Onboarding flow BUG-447 Login regression DESIGN-203 Dashboard redesign OPS-156 Deploy pipeline RFC-089 Database migration ENG-1284 Auth refactor PROD-892 Onboarding flow BUG-447 Login regression DESIGN-203 Dashboard redesign OPS-156 Deploy pipeline RFC-089 Database migration
— The problem

Jira knows the work. Nobody knows the story.

Every ticket, every comment thread, every linked sub-task — Jira tracks all of it. What it can't tell you is what actually happened, why a decision was made, or which of the four duplicate tickets is the one that got shipped.

01
JQL punishes the people who need it most.
Jira's query language is powerful and unforgiving. Founders and ops people don't want to write `project = ENG AND labels = auth AND status != Done` — they want to ask "what's blocking the auth refactor?" and get an answer.
02
Comments are where decisions hide.
The actual reason a ticket got descoped lives in comment 47 of an epic nobody opens anymore. Jira search reads titles and descriptions well. The threaded debate where the call was made? Functionally invisible.
03
Duplicate tickets multiply.
The same bug gets reported four times across three projects. Each ticket gets some context, none of them get all of it. By the time engineering picks one up, the full story is scattered across tickets nobody linked.
— The solution

Write another JQL query. Ask Archively once.

Connect Jira once. Archively reads every project, ticket, comment, and attachment you give it access to and turns the lot into one searchable layer indexed by meaning. Ask plain questions like "why did we descope the SSO ticket last sprint?" and get the answer with the original comment thread linked. Generate full reports — sprint recaps, blocker summaries, status updates — pulled straight from your tickets, no JQL required.

— Where it earns its keep

Three jobs Jira search can't do.

Built for B2B SaaS teams whose Jira holds the entire engineering history but reads like a foreign language to anyone outside the dev team. These are the moments Archively pays for itself.

For founders
Status without the standup.

Want to know what's actually shipping this sprint without sitting through the engineering sync? Ask Archively in plain English and get a clear answer pulled from the real ticket state — not the wishful version on the roadmap deck.

What's likely to ship in the next two weeks across all teams?
For ops teams
Track the cost of every blocker.

Recurring blockers, repeat bug categories, tickets that always slip — surfaced as patterns across projects, not buried as individual issues. Know which problems are actually expensive before they bite again.

What kinds of bugs have we re-opened more than twice this quarter?
For engineering leads
Find the decision, not the ticket.

Why did we descope that feature? Who pushed back on the migration plan? The answer is in a comment from six weeks ago. Archively reads every comment across every linked ticket and gives you the actual reasoning.

Why was the database migration ticket pushed to next quarter?
— Get early access

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