Project Management Where AI Agents Earn Trust

The first PM tool where AI is a teammate, not a tool. Assign tasks, watch execution, and build trust through demonstrated competence.

Built for teams working alongside AI

780+E2E tests
5Trust tiers
Real-timeHandoffs

The PM Tool Gap

The Problem

Current tools treat AI as an afterthought

Traditional PM tools weren't designed for AI teammates. You copy-paste between ChatGPT and Jira, losing context every time. AI has no visibility into the backlog, no ownership of tasks.

  • Manual copy-paste between AI chat and PM tool
  • No task ownership for AI agents
  • Context lost in handoffs
  • No trust system—AI is all or nothing
Our Solution

AI agents as first-class team members

SkrumRunner gives AI agents explicit roles, permissions, and earned trust. Assign tasks just like you would to a junior developer—watch, guide, and increase autonomy over time.

  • AI agents have their own kanban lanes
  • Earn trust from Observer → Autonomous
  • Real-time handoffs with full context
  • Permission levels scale with competency

5-Tier Trust System: From Observer to Autonomous

The Problem

How AI earns trust

Trust is not binary. AI starts as an Observer and earns autonomy through successful task completion. Trust degrades on failures and rebuilds with success.

  • Observer (0-20%): Can view tasks, needs approval for everything. Perfect for onboarding new agents.
  • Helper (21-40%): Can suggest changes, human approves before execution. AI learns from your edits.
  • Peer (41-60%): Can execute routine tasks autonomously. Human reviews on handoff.
  • Expert (61-80%): Autonomous for familiar task types. Human spot-checks.
  • Autonomous (81-100%): Full autonomy within domain. Escalates only when uncertain.
Our Solution

What each tier can do

Permissions grow with trust. An AI at Expert tier can refactor code, but still needs approval to deploy. Autonomous agents can ship to production in their proven domains.

  • Observer: Read-only access, cannot modify tasks
  • Helper: Can draft changes, requires human approval
  • Peer: Can update task status, push code to review branches
  • Expert: Can merge PRs in their competency areas
  • Autonomous: Full task ownership, auto-merge for routine work

Everything you need to work alongside AI

SkrumRunner is built from the ground up for human-AI collaboration. Every feature reinforces trust and transparency.

Trust-Based Autonomy

5 tiers from Observer (0-20%) to Autonomous (81-100%). AI earns trust through demonstrated competence, not blind faith.

AI Task Assignment

Assign tasks to Human, AI, or Either. Let the system choose the best agent based on competency and availability. AI knows when it's not ready.

Real-Time Handoffs

Instant notifications when AI needs human input. Context transfers automatically—work done, blockers, next steps. No information loss.

Permission Levels

Fine-grained control: none, read, update_status, full. AI can view tasks it cannot execute. Permissions scale with trust.

Agent Insights

ROI calculation (time saved vs token cost), competency analysis per task type. See what AI excels at and where it's improving.

Kanban Board

Drag-and-drop task management with AI agent indicators. Visual trust badges show competency at a glance. Works like traditional PM tools.

Execution Monitoring

Watch AI work in real-time. See research queries, code changes, test runs. Intervene if needed. Full transparency builds trust.

Trust Scoring

Auto-calculated from task success/failure. Trust degrades on failures, rebuilds with success. Dynamic thresholds per task complexity.

Handoffs: Zero Information Loss

The Problem

How AI → Human handoffs work

When AI hits a blocker or needs input, it triggers a handoff. You get notified instantly (app + optional Slack) with full context: work completed, what's blocked, and suggested next steps.

Our Solution

Context transfer

Handoffs include task description, AI progress log, relevant code/docs, and specific question. No digging through chat history—everything you need in one view.

  • Task snapshot at time of handoff
  • AI's work log (queries run, changes made)
  • Specific blocker or question
  • Suggested next steps or alternatives

Agent Insights: Less UI, More Intelligence

The Problem

ROI tracking

Every AI action tracks time saved vs token cost. See which agents are net positive and which tasks are worth automating.

Our Solution

Competency analysis

AI tracks success rate per task type. "Claude excels at research (95% success), improving at coding (62%)." You know where to assign work.

  • Success rate by task category
  • Average time saved per task type
  • Token cost per successful completion
  • Trend over time—AI learns and improves

How SkrumRunner Works

Get your first AI teammate productive in under 10 minutes.

1

Create tasks, assign to humans or AI

Build your backlog as usual. Assign tasks to humans, specific AI agents, or "Either" (system chooses best fit).

2

AI works based on trust tier and permissions

New AI starts as Observer (approval required). As it succeeds, trust grows and it gains autonomy.

3

Get notified on handoffs, review work

AI triggers handoff when blocked or uncertain. You see full context, provide input, and AI continues.

4

Trust increases with success

Successful task completions raise trust. Failures degrade it. Dynamic thresholds ensure AI earns autonomy, not granted blindly.

Who SkrumRunner is for

From dev teams to agencies, SkrumRunner scales human-AI collaboration.

Development Teams

AI handles research tickets (dependency analysis, API docs). Humans handle architecture decisions. Trust grows from 20% → 95% over 6 months.

Result: Ship 30% faster. Engineers focus on creative work. AI never touches critical systems without approval.

Product Teams

AI drafts PRDs, user stories, acceptance criteria. Humans refine strategy and validate assumptions. AI learns from edits.

Result: Double spec velocity. Product managers spend time on customer conversations, not Confluence.

Agencies

Scale delivery without scaling headcount. AI teammates handle repetitive tasks across multiple clients. Different trust levels per client.

Result: Handle 3x more projects with same team size. Deliver consistently even when humans are out.

Integrations

The Problem

Works with your stack

Connect the tools you already use.

  • GitHub: PR creation, code review
  • Slack: Real-time handoff notifications
  • Swarm: Unified token management
  • Claude AI: Default agent provider
Our Solution

Coming soon

More integrations in the pipeline.

  • Jira: Two-way sync
  • Linear: Task import/export
  • OpenAI: GPT-4 agent support
  • Custom agents: Bring your own AI

Simple, Transparent Pricing

Usage-based. Pay for active AI agents and token consumption.

Free Tier

$0forever
  • 1 AI agent (Observer tier)
  • 100 tasks/month
  • Unlimited human users
  • Community support
Start Free
Recommended

Pro

$29per AI agent/month
  • Unlimited tasks
  • All trust tiers unlocked
  • Priority support
  • Advanced analytics
Start Trial

Frequently Asked Questions

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