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Kuvai

Quinn — AI Project Manager

Meet Quinn, the AI project manager who tracks the work and tells you what's at risk.

Projects don't slip all at once — they slip one missed update at a time. Quinn watches your boards, tracks milestones, surfaces the tasks that have stalled and the risks forming, and drafts the status rollup so you walk into every check-in informed. Grounded in your projects and connected to your tools, it keeps the picture current without you chasing it.

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End-of-week project rollup — 3 active projects

Drafted from your boards · queued for review

  • 2 projects on trackmilestones progressing as planned
  • 5 tasks stalled 5+ daysflagged with owner and last activity
  • 1 milestone at risktoo much still open before the date
  • Status summary draftedprogress, blockers, and decisions needed

The rollup and the at-risk flags are ready for Monday — you start the week knowing exactly where to push.

Waiting for your review

Illustrative example

Quick answer

What does an AI project manager actually do?

An AI project manager is an AI teammate that keeps a project's status current — tracking milestones, flagging stalled tasks and emerging risks, and drafting status rollups — so the team stays aligned without someone manually chasing updates and assembling reports.

Quinn is Kuvai's project manager teammate. It doesn't replace your judgement on what to build or how to prioritise; it removes the constant overhead of keeping track. Connected to the boards your work already lives in, it watches task movement, notices what's slipped past its due date or gone quiet, spots the dependencies and risks forming, and assembles the status rollup for your review. Because it's grounded in your projects, the picture reflects your actual work — not a generic template. You decide what to act on; Quinn makes sure nothing falls through the cracks unseen.

What problem does an AI project manager solve?

Keeping a project on track is mostly information work: knowing what moved, what's stuck, and what's about to become a problem. It's constant, it's interrupt-driven, and it's the first thing that suffers when you're heads-down. That's the job Quinn owns.

Status updates eat the time you'd spend doing the work

Chasing people for updates, reconciling the board, and writing the status report is hours a week that produce nothing but a snapshot. Quinn assembles the rollup from your boards automatically, so the status exists without the manual gathering.

Stalled tasks hide until they're a problem

A task quietly sitting untouched for a week is how deadlines slip, but nobody notices until the milestone is at risk. Quinn watches for tasks that have gone quiet or past their due date and surfaces them while there's still time to act.

Risks form before anyone names them

Dependencies that are slipping, a milestone with too much still open, a blocker nobody flagged — risks are visible in the data before they're obvious to people. Quinn surfaces them early so they're decisions, not surprises.

Nobody has the full picture across projects

When work spans several boards and tools, no single view shows where everything stands. Quinn pulls it together into a current rollup, so you and the team work from one honest picture instead of five partial ones.

How does an AI project manager work?

Quinn works from the boards your tasks already live on, on a schedule you set. Here is the full loop.

Connect your project tools

Connect the boards your work lives on — Jira, Linear, Asana, Trello, or Wrike. Quinn reads task status, owners, due dates, and movement in the tools you connect and assign to it.

Tell it what matters

Define your milestones, what 'stalled' means for you, and which risks to watch. Quinn tracks against your definitions, not a generic project template.

It watches the work

Quinn monitors task movement, noticing what's slipped past its due date, what's gone quiet, and where dependencies are at risk — continuously, not just at report time.

It drafts the rollup

On your schedule, Quinn assembles a status rollup — progress, stalled items, risks, and what needs a decision — ready for your standup or check-in.

You review and direct

Read the rollup, act on the risks, and the team works from a current picture. Quinn keeps the status honest; the priorities and the decisions stay yours.

Quinn reads and reports. You decide how far it goes: ask for proposals and you get proposals; ask it to update the board and it does. Work it starts on its own never makes destructive or out-of-lane changes without checking with you first, and every decision is logged.

How Quinn gets more useful over time

Quinn isn't a tool you reconfigure each time. The longer it works with you, the less you have to repeat yourself — here's why.

A memory of your business

Quinn keeps a private notebook of your projects, your boards, and what counts as 'at risk' for your team. It doesn't reset between sessions, so you stop re-explaining the basics.

Improves from your corrections

A daily reflection proposes up to three refinements to Quinn's own instructions, which you approve — so it gets better at project tracking instead of repeating the same miss. Quinn never "gets smarter" on its own.

Runs at the autonomy you set

You decide how independently Quinn works on its own. Work it starts itself — scheduled runs and follow-ups — never makes destructive or out-of-lane changes without checking with you first, and every decision is logged.

Where does an AI project manager fit?

Quinn owns the same job — track, flag, report — across different teams:

Agencies

Keeping client projects on schedule

An agency juggles many client projects across boards, and status reporting is a weekly grind. Quinn assembles a per-client rollup and flags the deliverables at risk, so account leads walk into client calls informed without spending a morning compiling.

Per-client status ready for every call, without the manual compile.

Professional Services

Matter and engagement tracking

A firm runs many engagements in parallel with milestones that matter to clients. Quinn tracks each one, surfaces the stalled steps, and drafts the status — so partners see what's slipping before a client notices.

Slipping engagements caught internally, not by the client.

Operations & Product

One picture across the tools

A team's work is spread across Jira, Linear, and a few Trello boards, so nobody has the full view. Quinn unifies it into one current rollup, so standups run on a shared, honest picture instead of partial updates.

A single current view across every tool the team uses.

What does an AI project manager connect to?

Quinn connects to the project tools your team already runs on, through Kuvai's Connected Systems — only the tools you connect and assign to it.

Project & issue tracking

JiraLinearAsanaTrelloWrike

Docs & reporting

Google DocsGoogle SheetsNotion

Where the team works

SlackConfluence

You connect each tool by signing in through its own OAuth screen, and Quinn only works in the tools you've connected and assigned to it. Set it up to read your boards and propose, and reassigning or restructuring work stays your call.

Will an AI project manager change my boards or reassign work?

Quinn keeps the picture honest without taking the wheel. As with every Kuvai teammate, you decide how far it goes: set it up to surface and propose, and you make the calls.

It proposes, you direct

Quinn flags risks and suggests nudges, and reassigning tasks or restructuring the board is your call. Work it starts on its own never makes destructive changes without checking with you first, so it keeps you informed rather than quietly rearranging the work.

Everything is on the record

Every reply shows the steps Quinn took and the sources it used, so you always know what Quinn surfaced and why — and the team trusts the picture.

It stays in its lane

Tracking and reporting is the job. Prioritisation and people decisions stay with you; anything out of scope is flagged, not acted on.

How is this different from a PM tool or a dashboard?

A project tool like Jira or Asana stores the tasks but won't tell you what's at risk — it shows you the board and leaves the interpretation to you. A dashboard visualises status but still needs someone to read it, chase the gaps, and write the narrative for the team.

Quinn sits on top of the tools you already use and does the interpretation: it notices what's stalled, names the risks, and drafts the rollup in words your team can act on. It accumulates your context — your milestones, your definition of stuck — so the signal sharpens, and it works alongside the rest of your Kuvai AI team while you stay in charge of the plan.Need product strategy, not delivery tracking? Meet Avi, your AI product manager

Frequently asked questions

What can an AI project manager do for a small team?

It keeps the project picture current without anyone chasing updates: tracking milestones, flagging stalled tasks and risks, and drafting status rollups. Kuvai's project manager, Quinn, connects to the boards you already use and surfaces what's at risk, so a small team stays aligned without a dedicated PM.

Can AI flag stalled tasks and project risks automatically?

Yes — that's a core part of Quinn's job. It watches task movement on your boards and surfaces what's gone quiet, slipped past its due date, or formed a dependency risk, while there's still time to act. You get the early warning instead of the late surprise.

Can AI write my project status reports?

Quinn assembles the status rollup from your boards — progress, blockers, risks, and decisions needed — drafted for your review before each standup or check-in. The reporting that used to eat a morning becomes a quick read and a few decisions.

Which project tools does it work with?

Quinn connects to common project and issue trackers in Kuvai's catalog — Jira, Linear, Asana, Trello, and Wrike — each one connected by you. It reads status and movement to keep the picture current, and you decide whether it proposes changes or makes the updates you ask for.

Will it change my board or reassign tasks on its own?

Only as far as you let it. Set Quinn up to propose and it reads your boards and proposes nudges and updates, leaving reassigning work or restructuring the board to you; ask it to update a ticket and it does. Work it starts on its own — like a scheduled rollup — never makes destructive or out-of-lane changes without checking with you first, and every reply shows the steps it took.

How much setup does an AI project manager need?

Connect a board and tell Quinn your milestones and what 'stalled' means to you, and it can start tracking. You can begin with one project and grow from there — and like every Kuvai teammate, it accumulates your context, so the rollups get more useful over time.

What's the difference between an AI project manager and an AI product manager?

They own different work. A Kuvai project manager like Quinn tracks delivery — milestones, stalled tasks, and status rollups — so projects ship on time. A product manager like Avi shapes what to build, synthesising feedback and drafting PRDs. Use Quinn to keep execution on track and Avi to decide the roadmap; many teams run both.

Does Quinn remember my business and get better over time?

Yes — and that's the point. Quinn keeps a private memory of your projects, your boards, and what counts as 'at risk' for your team, so you stop re-explaining the basics. A daily reflection proposes up to three refinements to its own instructions, which you approve — so it gets better at project tracking instead of repeating the same miss. Quinn never "gets smarter" on its own, and the autonomy level you set governs the work it starts by itself. The longer Quinn works with you, the less you have to repeat yourself.

Keep every project on track — without chasing updates.

Start free and put Quinn on your boards — it tracks the work, flags the risks, and drafts the rollup; you stay in charge of the plan.