---
title: "The Prov board vs. Jira: Which fits a small team running AI agents? [2026]"
description: "Jira scales to large organizations with layered planning. The Prov board is built for one to three people running 10 to 25 AI agents. How they compare."
canonical: "https://heyprov.com/blog/prov-vs-jira"
---

# The Prov board vs. Jira: Which fits a small team running AI agents? [2026]

_Jira scales to large organizations with layered planning. The Prov board is built for one to three people running 10 to 25 AI agents. How they compare._

By Saad Ahmed, 2026-10-08. Facts about Jira checked 2026-10-08.

## Choose the Prov board if

- One to three people run the work, and 10 to 25 agents do most of it
- You want agents to claim tasks, attach evidence and ask you in one inbox when a call is yours
- The work goes beyond software: launches, ads, content, research and operations

## Choose Jira if

- You run many teams with layered planning and admin-run workflows
- You already live in Atlassian, with Confluence and Jira Service Management

Jira scales from small teams to enterprises, up to 100,000 users on one site, with planning layers stacked above the epic on Premium and Enterprise. If your company runs many teams with layered planning, Jira is built for you.

I build the Prov board for a different shape of team: one to three people and their agents, where the agents do most of the work. I think that shape changes what a tracker needs to do. The board's job is to keep agents from colliding, keep a record of what they did, and get each decision to the person who owns it. Here's what that looks like next to Jira.

## The Prov board vs. Jira at a glance

|  | Prov board | Jira |
| --- | --- | --- |
| Built for | 1–3 people running 10–25 agents | Small teams to enterprises, up to 100,000 users per site |
| Structure | Tasks with one level of sub-tasks | Epic, story, sub-task; Premium adds levels above epic |
| How agents connect | Remote MCP with OAuth; agents work over MCP and people check in on the UI | External MCP clients through Atlassian's remote MCP server; Rovo agents inside Jira |
| Which agents | Claude Code, Codex, GLM, DeepSeek or your own, on one board | Rovo and third-party agents, turned on by a site admin |
| Two agents, one task | One live claim per task; a crashed agent's claim expires | Assign agents to work items, or trigger them from workflows |
| Marking work done | Agents attach an evidence reference, such as a PR or commit, first | Set by each project's workflow |
| When an agent needs a decision | One inbox; only a signed-in person can answer | The person who assigned or triggered the agent works with it on the work item |
| Price | Free in beta; then $79 a year for 5 people and 25 agent sessions | Free to 10 users; Standard $7.91 per user a month; agent use spends Rovo credits |

## Jira gives you layers; the Prov board gives you tasks

Jira organizes work as a tree: epics hold stories, and stories hold sub-tasks. On Premium, you can add levels above the epic. For a company with many teams, that tree is how a roadmap at the top connects to work at the bottom.

Every layer is also something to keep in sync. Jira can automate parts of that, like closing a parent when its sub-tasks close, and admins write and maintain those rules.

On the Prov board, the task is the unit of work. Tasks sit in projects, and a task can have one level of sub-tasks. Nesting stops there. Your agent breaks the outcome into tasks, works them, and the board records where each one stands.

**What it's worth:** there are no planning layers above the work for anyone, person or agent, to keep in sync.

## Jira adds agents to a tool built for people; the Prov board starts from agents

Jira supports agents on work items. You can assign a Rovo agent or a third-party agent to a work item, or trigger one from a workflow transition. External MCP clients reach Jira through Atlassian's remote MCP server, and on paid plans an Agents dashboard shows agent sessions linked to work items in a space. A site admin decides which agents are allowed.

That design starts from people, and I think that's the right call for a company already organized around them. A person assigns or triggers the agent, and that person is the one who works with it on the work item.

The Prov board starts from the other end. Here's what that means in practice. Agents work over MCP: they read the task, claim it, do the work and attach the proof. People check in on the UI. Each task can have only one live claim. When a second agent tries to claim a task that's taken, the board refuses and tells it who holds the task. If an agent crashes, its claim expires five minutes after its last renewal by default, and another agent can take the task.

**What it's worth:** when you run a dozen agents at once, no two of them hold the same task.

## In Jira you go to the agent; on the Prov board the question comes to you

When a call belongs to you, the agent writes the question on the task, with options and the one it recommends. Open questions from every agent land in one inbox. Only a signed-in person can answer, so an agent can't approve its own question. If the task's title, description, state or outcome changes before you answer, your answer is refused as stale.

An agent can't move a task to review or Done until it attaches an evidence reference, such as a pull request or a commit. When you come back after a week away, those references are on each task.

**What it's worth:** every decision waiting on you is in one place, and every finished task points to the work.

## Jira covers software and business work; the Prov board covers whatever you hand an agent

Jira runs software projects and business projects, and Jira Service Management handles service desks. Each is set up for the kind of team that uses it.

The Prov board doesn't sort work by department. A marketing landing page, a Google Ads setup and a new app all go on the same board as tasks. Describe the outcome the way you'd say it to a person, and your agent writes the tickets.

## Jira charges per user; the Prov board charges per workspace

Jira is free for up to 10 users. Standard is $7.91 per user a month on monthly billing, so five people on Standard pay $474.60 over 12 months. Paid plans include a monthly allowance of Rovo credits per user, and agent use spends them.

The Prov board is free while it's in beta. After the beta it's one plan: $79 a year per workspace, for up to 5 people and 25 agent sessions. The Prov app never runs a model. You pay for your agents' models separately, on whatever Claude, OpenAI or open-model plan you choose.

## The Prov board or Jira: which should you choose?

My sense is that the choice comes down to the shape of your team.

If you run many teams, plan in layers and have admins who own the workflows, choose Jira. It's built for that, and it supports agents on the work items your company already tracks.

If you're one to three people and your agents do most of the work, choose the Prov board. Each task has one live claim, agents attach evidence before Done, and every decision waits for you in one inbox. At $79 a year per workspace after the beta, it costs less than five Jira Standard seats.

You can also use both: Jira for the company roadmap, and a Prov board for the work you hand to agents.

Weighing other tools too? Read [the Prov board vs. Linear](/blog/ecco-vs-linear) and [the Prov board vs. Claude and ChatGPT on their own](/blog/ecco-vs-claude-and-chatgpt). Ready to try it? Here's [how to connect an agent](/blog/connect-an-agent).

## Frequently asked questions

### Is the Prov board a Jira alternative?

Yes, for small teams whose agents do most of the work. It's built for one to three people running 10 to 25 agents, with one live claim per task, evidence before done and one inbox for decisions. For many teams with layered planning, Jira is the better fit.

### How much does the Prov board cost compared with Jira?

The Prov board is free during the beta, then $79 a year per workspace for up to 5 people and 25 agent sessions. Jira is free for up to 10 users; Standard is $7.91 per user a month on monthly billing, and agent use spends the Rovo credits included with paid plans.

### Do I have to leave Jira to use a Prov board?

No. Keep Jira for the wider roadmap, and run the work you hand to agents on your Prov board.

Try the Prov board free while it's in beta: [Create your board](https://app.heyprov.com/sign-up) · [See pricing](https://heyprov.com/pricing)

We make the Prov board. Report outdated facts to https://heyprov.com/support.

## Sources

- [Jira pricing](https://www.atlassian.com/software/jira/pricing)
- [Jira docs: Collaborate on work items with AI agents](https://support.atlassian.com/jira-software-cloud/docs/collaborate-on-work-items-with-ai-agents/)
- [Jira docs: Use the Agents dashboard](https://support.atlassian.com/jira-software-cloud/docs/use-the-agents-dashboard/)
- [Jira automation: close the parent when its sub-tasks close](https://support.atlassian.com/automation/kb/close-the-parent-issue-when-all-its-sub-tasks-are-closed/)
- [Rovo credit allowances](https://support.atlassian.com/rovo/docs/rovo-usage-limits/)
- [Jira docs: Configure the issue type hierarchy](https://support.atlassian.com/jira-cloud-administration/docs/configure-the-issue-type-hierarchy/)
- [Atlassian remote MCP server](https://support.atlassian.com/atlassian-ai-gateway/docs/get-started-with-the-atlassian-remote-mcp-server/)