Builds

ATLAS

build·published· client

What It Is

ATLAS is a 6-stage methodology delivery wizard built on Next.js. It guides users through Intake, Processes, Recommend, Configure, Output, and Review -- with a Fractal Canvas map visualization at Stage 5 and AI-powered roadmap streaming via Claude Opus at Stage 6. Three variants built for different deployment contexts. PDF export for client deliverables. Live at entat.vercel.app.

Why It Matters

Most consultancies explain a methodology and hand over a deck. ATLAS delivers the methodology as a guided workflow that clients run independently.

Consulting frameworks typically live in presentations. Clients receive the methodology as slides, then must figure out how to execute it -- hiring more consultants to interpret the framework they already paid for. ATLAS inverts this: the methodology is the application. Each stage captures structured input, applies the framework's logic, and produces output that feeds the next stage. By Stage 5, the Fractal Canvas maps the entire transformation landscape as an interactive visualization, not a static diagram. By Stage 6, Claude Opus synthesizes everything into an AI-generated roadmap with prioritized initiatives and PDF export. The client walks away with an executable plan, not a recommendation document.

Proof Points

  • 6-stage wizard: Intake then Processes then Recommend then Configure then Output then Review
  • Fractal Canvas: interactive map visualization at Stage 5 rendering the full transformation map
  • AI roadmap streaming: Claude Opus generates client-specific roadmaps at Stage 6 with prioritized initiatives
  • PDF export: client deliverables generated directly from wizard output
  • Three variants: atlas-mcp (MCP-native), atlas-fractal (Canvas-focused), atlas-v4-vercel (production deployment)
  • Deployed and client-tested at entat.vercel.app
  • Built on Next.js App Router, TypeScript, React -- descended from FORGE template

Market Position and IP

ATLAS converts consulting methodology into software -- a pattern no major consultancy has operationalized for agentic operating model transformation. McKinsey, BCG, and Deloitte deliver frameworks as decks and workshops; ATLAS delivers them as interactive guided workflows. The Fractal Canvas at Stage 5 visualizes transformation complexity in ways static diagrams cannot -- entities, relationships, and dependencies rendered as a navigable map. The AI-powered roadmap at Stage 6 generates client-specific recommendations rather than generic templates. Three variant deployments demonstrate that the pattern works across different delivery contexts.

Novel Research Contribution

ATLAS demonstrates that the 10x10 Domain Intelligence imperative can be delivered as an interactive application rather than a consulting engagement. Existing methodology delivery research focuses on training and adoption. ATLAS shows that delivery itself can be automated through guided workflows that capture context, apply logic, and generate output -- the consultant becomes a configurator, not an interpreter. The Fractal Canvas provides a novel visualization pattern for transformation maps.

Implementation and Impact

Clients interact with ATLAS during engagement delivery. The wizard captures their organizational context (Stages 1-2), recommends transformation priorities (Stage 3), configures the implementation approach (Stage 4), visualizes the landscape as a Fractal Canvas (Stage 5), and generates an AI-powered roadmap with PDF export (Stage 6). The client receives both the interactive wizard and the exported deliverable. Measurable outcome: methodology delivery compressed from weeks of manual analysis to guided wizard sessions, with clients able to re-run the wizard as their context evolves.

Links

  • Live: entat.vercel.app
  • GitHub: brigittecoles/ENTANT
  • Stack: Next.js App Router, TypeScript, React, Claude Opus

Connections

  • Imperatives: Fractal Design, 10x10 Domain Intelligence
  • Builds: FORGE (template ancestor)
  • Frameworks: Agentic OpModel, Process Dictionary
  • Capabilities: Intelligent Operating Models