Platform Documentation
Guided documentation for trust posture, deployment, control-plane direction, and platform reference details.
Deciding.org is built on three layers that together give large organizations faster strategic execution, stronger governance, and cleaner downstream handoff:
Decision Intelligence Engine — detects upstream decision failure, surfaces assumptions, enforces rigor, and scores the resulting Decision Debt. This is how the platform catches the premature certainty that costs large enterprises an estimated $250M per year in rework and reversals.
Governed Artifacts — every session produces a Decision Frame, Decision Plan, and DIR. No deliberation record. This gives teams, boards, and auditors the structured evidence they need without turning exploratory deliberation into a permanent record.
Decision Orchestration Layer — routes the decision into the right tools (AI models, analytics platforms, execution systems) based on the frame. This is how a committed decision becomes operational reality — initializing project management epics, feeding planning platforms, and populating BI systems without manual reconstruction.
Guided paths and reference
Investor Learning Path
A public category and governance foundation before the controlled executive briefing.
Advantages Over Generic AI Assistants
Why Deciding.org is structurally safer and more governable than convenience-first AI assistants for serious enterprise decisions.
Extending Your Claude Enterprise
How Claude Skills, MCP-connected context, and Deciding.org can fit together without turning enterprise commitment into shadow chat.
Extending Your Google Cloud and Gemini Enterprise
How Google Cloud, Gemini, and Deciding.org can fit together when a company needs governed decision infrastructure rather than open-ended AI interaction.
Procurement Readiness
The trust and evaluation overview for serious enterprise buyers and procurement stakeholders.
Workspace Admin Control Plane
How governance, rollout readiness, and customer success can stay strong without surveillance-heavy admin patterns.
Deployment Profiles
The staged path from hosted pilot to private, customer-managed, and sovereign deployment.
Integration Handoff
How approved decision artifacts move into execution, BI, planning, and downstream systems.
Frame Detect Contract
The strict versioned payload for `POST /v1/ai/frame-detect`.
Architecture principles
- Adapter boundaries: AI models, storage, and policy providers are behind adapter interfaces. No hardcoded providers.
- Deployment modes: SaaS, desktop/local, and sovereign/air-gapped. No hard cloud dependencies.
- Tenant isolation: all reads and writes are org-scoped. RBAC enforced at every layer.
- Prompt secrecy: proprietary prompts are server-only. Never exposed via client bundles, logs, or API responses.
Integration posture
Deciding.org is designed to hand approved structured artifacts into downstream systems without turning exploratory deliberation into a transcript archive.
- project and work management systems inherit approved implementation context
- BI and analytics systems inherit structured reporting inputs
- planning environments inherit cleaner briefs and assumptions