Luna
AI project manager that connects your OKRs and roadmaps to the work actually happening in Jira.
For Jira-centric product and engineering orgs, Luna earns its place. Two-way Jira sync, automated weekly digests, and early risk flags on blocked dependencies and scope creep map directly onto the reporting work PMs actually resent. The free tier (3 makers, 3 roadmap views) is genuinely usable for evaluation, and the Launch tier at $49/maker/mo monthly or $39/maker/mo yearly is reasonable for a team that would otherwise hire reporting help. If your team isn't on Jira, or you need on-prem, look at plain Asana or ClickUp instead.
Verified 14d ago · liveness 71/100 · cite: rightaichoice.com/tools/luna
- Jira-centric product and engineering teams
- Product managers automating status reporting
- Cross-functional launch teams needing a single source of truth
- Engineering leaders wanting early risk warnings
- Teams not using Jira — core value is tied to that integration
- Organizations with strict on-premise data requirements
- Small teams wanting a simple to-do list
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Skip Luna if your delivery work doesn't live in Jira — its risk detection, roadmap sync, and digests all read from Jira and Slack, so most of the value disappears without those signals.
The Free tier stops at 3 makers and 3 custom roadmap views, so a second squad or a fourth audience-specific roadmap pushes you into Launch at $49/maker/mo monthly.
Luna's free tier suits a solo PM or single squad exploring AI-assisted reporting. The $39-49/maker/mo Launch tier fits cross-functional product orgs where PMs and squad leads all need edit access. It's cheaper than adding headcount for reporting, and more expensive than a plain Jira plus a basic dashboard. Enterprise pricing isn't published on the pricing page — the listed rate is $15/maker/mo alongside onboarding, training, and custom contracts.
In short
Luna — AI project manager that connects your OKRs and roadmaps to the work actually happening in Jira. Best for Jira-centric product and engineering teams, Product managers automating status reporting, Cross-functional launch teams needing a single source of truth. Free to start; paid plans from $15/mo.
What's new in Luna
Checked 8 days agoAcross the latest 3 updates: 1 feature update and 2 community discussions.
10x Engineering, Product, Design (EPD) workflows with AI
Luna publishes a guide on using AI to compress EPD workflows, freeing teams for strategy and creative work.
Google LaunchCal reimagined with Luna AI
Luna AI rebuilds Google's LaunchCal concept with OKRs plus Jira and Slack integrations for launch tracking.
AI for Product Managers: leverage AI tools without losing control
2025 guide covering how PMs can use AI across the product lifecycle while keeping oversight.
What people actually say about Luna — is it worth it?
We scanned public community sources for Luna on Jul 3, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Luna? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI-generated OKRs, roadmaps, and stories (TUYP)
- Automated risk identification: blocked dependencies, scope creep, stalled work, misalignment, gaps
- AI-written weekly digests delivered via email, Slack, or Google Docs
- Custom roadmap views: table, timeline, and Kanban formats
- Public roadmap sharing for external stakeholders
- Team capacity and workload modeling
- Launch module with milestones, approvals, documents, risks, and decisions logs
- Two-way Jira integration with customizable field mapping
- Slack integration for updates, channel notifications, and launch creation
- Automated stakeholder notifications for key changes
- AI classifier from meeting docs and Slack (RAG) to extract and classify key data
- Milestone center with custom views and approval flows
- Push milestones to Jira or Asana
- CSV export for advanced analytics and reporting
- OKR tracking linked to Jira epics for measuring strategic progress
About Luna
Luna AI is an AI project manager built for product and engineering teams that already run their delivery work in Jira. It sits a strategic layer on top of your existing Jira and Slack setup: you define OKRs, roadmaps, and launch initiatives in Luna, and it reads signals back from Jira and Slack so you can track progress, catch risks, and keep stakeholders current without writing status reports by hand. The platform flags blocked dependencies, scope creep, stalled work, and misalignment before they turn into delays, and it drafts weekly digests, executive summaries, and stakeholder notifications from live Jira and Slack data. Luna's TUYP feature generates OKRs, roadmaps, and stories from raw product ideas, and its RAG-based classifier pulls key data out of meeting docs and Slack threads. The Launch module gives cross-functional teams one home for milestones, approvals, documents, risks, and decisions, with two-way sync that pushes milestones into Jira or Asana. Roadmaps can be rendered as tables, timelines, or Kanban and published publicly or kept private. Luna is explicitly Jira-native rather than a Jira replacement: it assumes your engineers keep working where they work and adds the exec-level visibility layer on top. Verified numbers from the vendor include 6-8 hours saved per PM per week and 30% fewer delivery delays, alongside 40% fewer meetings and 2x faster decisions.
Behind the Verdict
Luna's whole pitch is that it doesn't try to be your tracker. It assumes you run delivery in Jira and offers a strategy and visibility layer on top, which sounds like a limitation until you compare it to what PMs actually do all week. The pain point it targets is real: extracting weekly status, spotting that a dependency is blocked before it cascades, and telling leadership something useful without a two-hour prep session. Luna handles all three through concrete features — two-way Jira sync with customizable field mapping, automated weekly digests delivered via email, Slack, or Google Docs, and an AI classifier (RAG-based) that reads meeting docs and Slack threads and notifies stakeholders when something material changes. Strengths worth naming specifically: the risk detection covers blocked dependencies, scope creep, stalled work, misalignment, and gaps — a broader set than most roadmap tools bother with. TUYP generates OKRs, roadmaps, and stories from raw product ideas, which shortens the cold-start problem. The Launch module bundles milestones, approvals, documents, risks, and decisions into one object, with milestone push into Jira or Asana. Custom roadmap views (table, timeline, Kanban) with public-sharing options cover the usual stakeholder-communication need. The automated slides feature is listed as 'COMING SOON,' which is worth knowing before you build a workflow around it. Weaknesses and honest limitations: Luna's core value is tightly coupled to Jira and Slack. If significant parts of your delivery live in Linear, GitHub Issues, or a homegrown tracker, you lose the signal Luna relies on. The free tier caps you at 3 makers and 3 custom roadmap views, which is fine for trialing on a single squad but forces the Launch upgrade for anything cross-functional. AI accuracy is only as good as the Jira hygiene behind it — dirty tickets produce noisy risk flags. LunaVista is in beta, and the vendor's own pricing page marks automated slides as coming soon rather than shipped. Data residency and on-prem options aren't part of the offer; teams with strict requirements should look elsewhere. Where Luna fits best: mid-to-large product orgs where PMs spend meaningful time on reporting, engineering leaders want early warnings without reading Jira, and execs want a customized view they can open themselves. Where it fits worst: non-Jira shops, tiny teams that don't need OKRs or launch modules, and any group uncomfortable with AI-drafted planning artifacts going out under their name.
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Real-world workflow fit
Concrete scenarios for the personas Luna actually fits — and what changes day-one when you adopt it.
Connects Jira and Slack to Luna, imports existing OKRs, and builds three roadmap views — one for the exec team, one for engineering, one public for customers.
Outcome: Weekly digests land in Slack and email automatically, leaving the PM to review and edit rather than write from scratch.
Uses Luna's risk detection on connected Jira projects to surface blocked dependencies, scope creep, and stalled work, and models team capacity before committing to the next quarter.
Outcome: Risks surface days earlier than in a manual Jira review, giving time to rebalance work before launches slip.
Runs the launch in Luna's Launch module with milestones, approvals, documents, risks, and decisions, then pushes milestones into Jira so engineering stays in their own tool.
Outcome: External stakeholders read a single published roadmap instead of requesting status updates in Slack.
Use Cases
- Automate weekly status reports for product leadership using live Jira and Slack data.
- Create and track OKRs linked to Jira epics to measure strategic progress.
- Identify blocked dependencies and scope creep in Jira before they cause delays.
- Generate executive summaries of launch progress with AI-written risk assessments.
- Build custom roadmap views for different stakeholders without manual updates.
- Sync milestones and launches bidirectionally with Jira to keep teams aligned.
- Give external stakeholders visibility through published public roadmaps.
- Model team capacity to avoid overcommitting the engineering team.
Models Under the Hood
as of 2026-10-07
Limitations
- The Free tier caps you at 3 makers and 3 custom roadmap views; the Launch and Enterprise tiers lift both to unlimited.
- Luna's core value is tied to Jira and Slack, so AI accuracy depends on the quality of the data those tools contain — dirty tickets produce noisy risk flags.
- LunaVista is in beta.
- On the vendor's own pricing page, automated slides are marked 'COMING SOON' rather than shipped, so don't build a workflow that assumes they exist today.
- No on-prem or data-residency story is described.
- Annual billing saves 20% versus monthly.
as of 2026-09-24
Verification history
We have re-verified Luna 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Luna tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0 per maker/mo
Ideal for
A solo PM or one squad trialing AI-assisted reporting before committing budget, with up to 3 makers.
What this tier adds
Free entry point: 3 makers, 3 custom roadmap views, OKR tracking, AI summaries, and 2-way Jira and Slack integrations.
Launch
$49/maker/mo monthly or $39/maker/mo yearly
Ideal for
Cross-functional product orgs where PMs, squad leads, and guests all need access to roadmaps and launch plans.
What this tier adds
Adds unlimited makers and guests, unlimited roadmap views, all launch collaboration features, public and custom templates, automated workflows and triggers, and CSV export.
Enterprise
$15/maker/mo
Ideal for
Larger orgs needing onboarding, custom contracts and invoicing, security customization, and dedicated support.
What this tier adds
Adds onboarding and training, custom contract and invoicing, product advisory services, customizations for specific pain points, and dedicated 24/7 support.
Where the pricing makes sense
The company stage and team size where Luna's pricing actually pencils out — and where peers do it cheaper.
Luna's free tier suits a solo PM or single squad exploring AI-assisted reporting. The $39-49/maker/mo Launch tier fits cross-functional product orgs where PMs and squad leads all need edit access. It's cheaper than adding headcount for reporting, and more expensive than a plain Jira plus a basic dashboard. Enterprise pricing isn't published on the pricing page — the listed rate is $15/maker/mo alongside onboarding, training, and custom contracts.
Setup time & first value
How long it actually takes to get something useful out of Luna — broken out by persona, not the marketing-page minute.
Solo PM or single squad on the Free tier: connect Jira and Slack and see your first AI insights within minutes, per the vendor's own claim. Cross-functional team moving to Launch: expect a day or two to map Jira fields, import OKRs, and build audience-specific roadmap views. Enterprise deployments with onboarding, training, and custom contracts stretch longer depending on the customization scope.
Switching to or from Luna
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From spreadsheets: rebuild roadmaps as Luna roadmap views, then link milestones to your existing Jira epics for live progress.
- →From Asana or ClickUp: keep task tracking where it is and use Luna's milestone push to sync launch milestones back into your existing tracker.
- →From manual weekly status docs: import historical launch data, then let automated weekly digests take over the recurring write-up.
- ↗To plain Jira: use CSV export for milestones and roadmap data, then rebuild views with Jira's native roadmap feature.
- ↗To Asana or ClickUp: push Luna milestones into either tool via the built-in sync, then reconstruct OKR tracking manually.
- ↗To spreadsheets: CSV export covers roadmap, milestone, and capacity data for teams reverting to manual reporting.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Luna”, and we withheld 6: 6 could not be judged, because “Luna” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Luna.
Official links
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Common stack mates teams adopt alongside Luna, with the specific reason each pairing earns its keep.
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Featured Head-to-Head Comparisons
Luna vs Gem
If you're a recruiter or talent acquisition team looking for an all-in-one AI-powered ATS/CRM with sourcing, screening, and fraud detection, Gem is the clear choice. For product and engineering teams already on Jira who want to automate OKRs, risk tracking, and stakeholder updates, Luna is the winner. They serve entirely different workflows — choose based on your role, not price.
Luna vs Guesty
Luna and Guesty serve entirely different domains, so your choice depends on your industry. If you manage product development with Jira and want AI to bridge strategy to execution, Luna is the clear pick. If you run vacation rentals and need AI to automate guest comms, multi-channel distribution, and reconciliation, Guesty wins. There's no overlap—buy the one that matches your business.
Luna vs Poke Interaction Co
Luna and Poke serve completely different needs. Luna is a powerful AI PM for Jira-centric teams that replaces manual status reporting with auto-generated OKRs, risks, and digests. Poke is a personal AI assistant living inside messaging apps, ideal for individuals who want to manage email, calendar, and health data from one chat. Buy Luna if you need strategy-to-execution visibility for your engineering team; buy Poke if you want an AI to run your personal tasks on autopilot.
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