Beta · Free to use

Service blueprinting
for the AI era

Map every actor, step, and AI capability in your service — on one shared canvas built for cross-functional teams.

PM Service Designer UX Researcher Developer Delivery Lead Governance
6
stakeholder lenses
1
shared live canvas
AI
reads your blueprint
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Why it exists
Three things that broke when AI entered services
01
Services increasingly involve AI capabilities — but the tools teams use to design services were built before AI was mainstream.
02
Without a shared artefact, AI risks, governance decisions, and human-AI interfaces get scattered across Jira tickets, compliance docs, and Slack threads.
03
Blueprint AI puts every actor, every step, every AI capability, and every governance decision on one canvas — so cross-functional teams design intentionally, not retroactively.
How it works
From blank canvas to reviewed blueprint
Step 01
Map your service
Add swimlanes for each actor — customer, staff, system — and define the steps across the top. The grid reveals where hand-offs, data flows, and touchpoints happen.
Step 02
Add AI capabilities and risks
Tag each cell with element types — AI capabilities, governance checkpoints, human-AI handoffs, risks. Autonomy levels and explainability strategies attach directly to the step where they matter.
Step 03
Let the agent review it
The Blueprint Agent reads your actual canvas and returns severity-rated insights — governance gaps, missing oversight, risky autonomy levels — tied to the specific elements that need attention.
What it does
Built for the complexity of real services
🧠
AI that reads your blueprint
The Blueprint Agent analyses your actual service map — not a generic assistant. It references specific elements, flags real risks, and gives role-calibrated advice based on exactly what is on your canvas.
👥
One map, six stakeholder views
Switch between PM, Service Designer, Researcher, Developer, Delivery, and Governance lenses. Each role gets AI insights and guidance tailored to their specific responsibilities and questions.
⚖️
HCAI framework built in
AI in services raises design questions — who explains a decision? What's the autonomy level? Where can humans override? Blueprint AI is the only tool that bakes these into every step of the canvas.
📥
Import from existing blueprints
Upload a PDF or image of any existing journey map, service blueprint, or process diagram. Gemini's multimodal AI extracts the structure automatically — swimlanes, steps, and elements — so you can start working immediately.
✦
Severity-rated insights engine
Generate a board-level analysis at any time. Insights are rated by severity, tied to specific elements, and include concrete action suggestions — not generic recommendations.
⚡
Real-time collaboration
Boards update live across all connected team members via Supabase Realtime. Everyone sees the same canvas state — no version conflicts, no stale screenshots in Slack.
Tool comparison
The only tool designed for AI-augmented services.
Feature Blueprint AI TheyDo Miro Figma Mural UX Pressia
Service blueprint formatStructured swimlanes & step columns ✓ ✓ ~ ~ ~ ✓
AI-powered board analysisAgent reads & critiques your specific map ✓ — — — — —
Role-specific AI personasPM, Designer, Researcher, Dev, Governance ✓ — — — — —
AI capability inventoryTrack autonomy, XAI strategy & decisions ✓ — — — — —
Governance & compliance trackingAudit trail, oversight decisions, harm checks ✓ — — — — —
HCAI framework built inTransparency, autonomy & harm by design ✓ — — — — —
Import from PDF / imageAI extracts blueprint from existing documents ✓ — — — — —
Real-time collaboration ✓ ✓ ✓ ✓ ✓ ~
AI-generated insightsSeverity-rated issues & opportunities ✓ — — — — —
Stakeholder mapping ✓ ✓ ~ ~ ~ ✓
Free during beta ✓ — ~ ~ ~ ~
~ = limited or partial support  ·  — = not available  ·  ✓ = fully supported
🎓
Grounded in academic research
Built on peer-reviewed methodology
Blueprint AI builds on the AI-Driven Service Blueprint methodology presented at CHI 2026, extending the Human-Centred AI (HCAI) framework into a working tool for any cross-functional product team. The research investigates how AI capabilities can be systematically represented, governed, and designed for — across any service journey.

Read the research paper →
Blueprint AI · Built on research presented at CHI 2026 · © 2025
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