AUTOMATION

AI Project Manager: Replace Linear, Jira, and Asana with a Single Agent

Build a project management AI that maintains its own kanban board, runs standups via Slack, and costs a fraction of enterprise SaaS subscriptions.

AUTOMATION

Your team pays $12-50 per user per month for project management software. For a 20-person team, that's $2,880-$12,000 per year—just to track tasks and run standups.

What if an AI agent could do the same job, live in tools you already use, and cost almost nothing?


The Hidden Cost of Project Management SaaS

Let's look at what enterprise project management tools actually cost for a 20-person team:

ToolPrice/UserAnnual (20 users)
LinearLinear
$12/user/mo$2,880
JiraJira
$18.30/user/mo$4,392
AsanaAsana
$24.99/user/mo$5,998
MondayMonday.com
$19/user/mo$4,560

Prices based on standard/professional tiers as of December 2025

What if your project manager was an AI that cost $0/user and lived in tools you already use?


What an AI Project Manager Actually Does

An AI project manager isn't just a chatbot. It's a persistent agent that actively manages your team's workflow:

Maintains its own kanban board

The agent creates and updates a spreadsheet that serves as your project board. No external tool needed—the agent is the tool.

Runs daily standups via Slack

Every morning, the agent asks team members for updates in Slack, compiles responses, and sends you a summary. No meetings required.

Tracks blockers and escalates

When tasks are stuck for too long, the agent identifies the blocker, pings the right people, and keeps you informed.

Generates sprint reports automatically

Weekly velocity, burndown charts, blockers resolved—all generated and saved to your workspace without manual work.

Integrates with existing tools

Already using Linear or Jira? Connect them via MCP. The agent can read from and write to your existing boards while you transition.

A Day in the Life: AI Project Manager in Action

Here's what it looks like when an AI agent manages your projects. These are real conversations you'd have with your agent:

Morning Standup via Slack

Slackvia Slack - #engineering
@Lazarus what's on my plate today?

Good morning! Here are your assigned issues:

IssueStatusAssignee
Feat: Payment gateway integrationIn ProgressYou
Fix: Checkout validation errorBlockedYou
Chore: Update API documentationTodoYou

The checkout validation issue has been blocked for 2 days. Should I ping John for his review?

Blocker Escalation

Slackvia Slack - #pm-alerts

Heads up — 3 issues have been blocked for 48+ hours:

IssueBlockedWaiting On
Feat: Stripe webhook handler3 days@john (code review)
Fix: Database migration script2 daysDevOps approval
Chore: Design asset handoff2 days@sarah (assets)

Want me to send reminders to each person?

Yes, ping them all. Move the migration script to next sprint.
Done. Sent reminders to John and Sarah. Moved the migration to Sprint 24. Board updated.

Sprint Planning via Email

via Email
Plan next sprint. We have 2 weeks and 3 devs.

Based on velocity (34 pts/sprint) and capacity, here's my recommended Sprint 24:

IssuePointsAssigneePriority
Feat: Payment processing v28AlexHigh
Feat: User dashboard redesign8JordanHigh
Fix: Cart calculation bug3SamMedium
Chore: Database indexing5AlexMedium
Fix: Session timeout issue2SamLow

Total: 26 points. I've added these to the board. Ready for review.

Weekly Report Generation

Give me the weekly report

Sprint 23 — Week 1 Summary

Completed This SprintPointsOwner
Feat: User authentication flow8Alex
Feat: Dashboard charts component5Jordan
Fix: Login redirect loop3Sam
Fix: Mobile responsive header2Jordan
Chore: CI pipeline optimization3Alex

Velocity: 21 points completed (on track for 42)

Blockers: 1 remaining (waiting on third-party API)

Full report saved to /reports/sprint-23-week-1.md


The Killer Feature: The Agent's Own File System

Here's what makes this fundamentally different from any project management tool you've used before.

In Lazarus, every agent has its own persistent file system. Your project management agent doesn't just connect to a kanban tool—it IS the kanban tool. It maintains a spreadsheet in its workspace that serves as your project board, and updates it in real-time as work progresses.

No subscription fees

The agent maintains a spreadsheet. No Linear, no Jira, no monthly bills per user.

Full ownership of data

Your project data lives in your workspace. Export it, back it up, analyze it—no vendor lock-in.

Agent maintains it automatically

You never manually update the board. The agent does it based on conversations and task completion.

Customizable to your workflow

Want a different column structure? Different labels? Just tell the agent. It adapts to you, not the other way around.

This isn't a tool that helps you do project management. It's a project manager that does project management.


Step-by-Step: Build Your AI Project Manager

Here's how to build your own AI project manager in about 15 minutes:

Step 1: Create the agent and write instructions

Open Lazarus and create a new agent. Name it something like "PM Agent" or "Sprint Manager." Then describe what you want in plain language:

"You are my project manager. Every morning at 9am, ping the team in Slack for standup updates. Track all tasks in a spreadsheet called 'sprint-board.csv'. When tasks are blocked for more than 24 hours, alert me. Generate weekly reports every Friday."

Step 2: Connect to Slack, Discord, or Email

Add your communication channels. The agent will be able to message your team and respond when mentioned. You can talk to it in Slack, Discord, or send it emails.

Step 3: Set up the file system with a project template

Create an initial sprint board spreadsheet in the agent's workspace. Or just tell the agent to create one—it'll set up a sensible structure based on your instructions.

Step 4: (Optional) Connect to existing PM tools via MCP

If you're still using Linear, Jira, or Asana, connect them via MCP. The agent can read from and write to these tools while you transition.

Step 5: Test with your team

Run a test standup. Ask the agent for a status report. Move a task and watch it update the board. Within a day, you'll wonder why you ever paid for PM software.

That's it. You've built a project manager that works 24/7, never forgets anything, and costs almost nothing.


Advanced: Build a Multi-Agent PM Team

Once you're comfortable with a single PM agent, you can build a team of specialized agents that work together:

Scrum Master Agent

Runs sprint ceremonies, tracks velocity metrics, identifies process bottlenecks, and suggests improvements based on historical data.

Task Assigner Agent

Routes incoming work based on team capacity, expertise, and current workload. Balances the load automatically.

Blocker Resolver Agent

Actively works to unblock stuck tasks—schedules quick syncs, finds documentation, loops in the right people.

All agents share the same workspace. They can read each other's files, coordinate on tasks, and escalate to you when they need human judgment.


Stop paying $6,000/year for project management. Build an AI that does it better.

AI Project Manager: Replace Linear, Jira, and Asana with a Single Agent | Lazarus