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Use case

Decision trees with AI

Use caseBy OpenCharts TeamPublished

OpenCharts is an AI decision-tree maker that turns a question, troubleshooting flow, or policy document into an editable yes/no decision tree in seconds. Theo identifies decision points, conditions, and outcomes; lays them out cleanly; and lets you collaborate in real time. Decision trees live in the same workspace as flowcharts, notes, and presentations, with exports to PNG/SVG/PDF/PPTX and a public MCP server for AI agents.

How it works

  1. 1

    Describe the decision

    Tell Theo the central question (‘Should we approve this loan?’, ‘Which support tier handles this ticket?’) or upload a policy PDF.

  2. 2

    Theo proposes the tree

    Theo identifies the decision points, branch conditions, and terminal outcomes, and lays them out as a top-down or radial tree.

  3. 3

    Refine branches and labels

    Add or remove branches, edit conditions, attach data tables for risk scores and ownership, and apply themes.

  4. 4

    Share or export

    Public share link, export to PNG, SVG, PDF, PPTX, DOCX, JSON, or embed the tree in your help docs.

What you get

  • Yes/No, multi-way, and weighted decision branches
  • Branch labels and risk scores via attached data tables
  • Top-down, radial, and force-directed layouts
  • Real-time multiplayer collaboration with comments per node
  • Templates: troubleshooting, eligibility, approval, support routing

Frequently asked questions

Can the tree have more than two branches per decision?

Yes. Decision nodes can have any number of outgoing branches with custom labels. Use the same node for multi-way classification or mutually exclusive choices.

Can I attach risk scores or weights?

Yes. Every node supports an attached data table where you can capture risk scores, probabilities, owners, and ownership notes.

Can I publish a decision tree as an interactive page?

Yes. Use a public share link with viewer permission. Recipients can pan/zoom and click into nodes to see attached data. For a guided experience, embed the tree alongside notes that link out to specific branches.

Can decision trees be programmatically maintained?

Yes. The MCP server exposes node-level CRUD so an AI agent or workflow can keep a decision tree in sync with policy changes.

Is this free?

Yes. Decision tree generation, themes, real-time collaboration, and export are included on every plan including the free tier.

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