Sustainable Catalyst Platform

Sustainable Catalyst Decision Studio

Decision Studio is a sustainability decision-support module for turning a project, policy, investment, infrastructure choice, or organizational decision into a structured, reviewable brief.

Use it to frame the decision, compare environmental, social, economic, and governance factors, surface assumptions and risks, run calculator-backed reasoning, and generate an auditable starting point for further human review.

Purpose: Decision Studio carries forward the original Sustainable Catalyst 1.0 prototype as a named platform module for sustainability decisions. AI can assist with briefing and interpretation when the backend is configured, but accountable judgment remains human.

Live decision-support module

Use the Studio

Enter a decision scenario and review the generated structure. The Studio is designed to help turn rough sustainability questions into explicit assumptions, pillar scores, tradeoff notes, scenario outputs, and a decision brief that can be challenged, revised, and exported.

Sustainable Catalyst Platform · Decision Studio v2.0.0

Sustainable Catalyst Decision Studio

Structured sustainability decision support for projects, policies, procurement choices, scenarios, risk, and four-pillar evaluation.

Boundary: AI in the toolkit, never in control. Outputs are decision-support drafts and educational analyses, not legal, financial, engineering, medical, sustainability assurance, tax, compliance, or investment advice.

Project intake

Define the decision question

Capture the project, policy, procurement, retrofit, supplier, or strategy decision before scoring it.

Unified evidence and platform handoffs

Source → Research → Observe → Model → Validate → Trace → Decide

Decision Studio now accepts a shared typed-artifact envelope from the current Sustainable Catalyst platform. Every import can retain its source product, version, artifact identifier, methodology, freshness, confidence, integrity hash, and transformation history.

Knowledge LibraryResearch LibrarianSite IntelligenceWorkbenchResearch LabPlatform CoreDecision Studio

Sources and citations

Knowledge Library

Import durable source records, quotations, Harvard-style citations, bibliographies, collections, and evidence notes.

Packet target: evidence_registry

Open product →

Research routes and gaps

Research Librarian

Import research routes, recommended sources, evidence gaps, related titles, and follow-up questions.

Packet target: research_routes

Open product →

Indicators and observations

Site Intelligence

Import indicators, country dossiers, live observations, methodology records, source health, and freshness context.

Packet target: live_evidence

Open product →

Calculations and models

Workbench

Import formulas, calculations, graphs, models, code outputs, validation checks, assumptions, and technical reports.

Packet target: calculation_trace

Open product →

Experiments and scientific artifacts

Research Lab

Import experiments, notebooks, datasets, instrument context, validation results, provenance, and scientific reports.

Packet target: experimental_evidence

Open product →

Entities and Evidence Ledger

Platform Core

Import canonical entities, Evidence Ledger records, provenance links, identifiers, signatures, and shared exchange metadata.

Packet target: platform_registry

Open product →

Decision synthesis

Decision Studio

Synthesize typed evidence into scenarios, readiness findings, an auditable brief, and export bundle.

Packet target: integrated_decision_brief

Open product →
v1.12.0 contract: scds-platform-artifact/1.0 is additive. Legacy Canvas, Data, Analytics R, Global Impact, Narrative Risk, Finance, and Grit JSON exports remain importable through compatibility adapters.

Typed artifact import

Paste a product artifact or legacy JSON export

Select a source product or use auto-detect. Typed envelopes are validated before they are normalized into evidence, research, model, experiment, entity, provenance, and audit sections.

Brief readiness & review status

Quality gates before export

Review whether the Decision Packet is ready for a draft brief, reviewed export, or further evidence work. The readiness gate checks framing, evidence, scenarios, impact, claims, finance, recovery, audit/provenance, and synthesis.

Readiness: readiness scoring now surfaces section status, unresolved issues, required reviews, and export gates. It is a workflow quality screen, not approval or professional signoff.

Decision governance & review center

Assign accountability, control review, and record human approval

Move the Decision Packet through a controlled lifecycle with a named owner, assigned reviewers, approval conditions, exceptions, conflict declarations, sign-offs, expiration dates, and a tamper-evident review history.

Human control: Decision Studio may flag missing evidence or contradictions, but it cannot approve, certify, assure, or professionally sign off a decision.

v1.12.0 collaborative workspace

Collaborative Decision Room

Private WordPress-managed rooms for participants, comments, change requests, snapshots, version comparison, notifications, and approved-version locks.

Private by default
Sign-in required. Decision Rooms are private records and are not available to anonymous visitors.

Institutional and Domain Decision Packs

Apply a reusable decision methodology without hiding the evidence or governance requirements

Select a pack to populate required intake, criteria, evidence, indicators, Workbench models, review roles, risk questions, readiness rules, and briefing templates.

Boundary: Decision Packs organize institutional review. They do not provide legal, engineering, financial, medical, compliance, assurance, or professional certification. AI cannot approve or sign off a decision.

climate energy

Climate and Energy Strategy

Evaluate decarbonization, energy transition, resilience, affordability, and implementation pathways.

6 evidence requirements · 6 criteria · 5 review roles

infrastructure capital

Infrastructure and Capital Investment

Compare capital programs using lifecycle performance, resilience, public value, delivery risk, and maintainability.

6 evidence requirements · 6 criteria · 5 review roles

urban resilience

Urban Resilience

Assess urban interventions across hazards, infrastructure interdependencies, vulnerable populations, and recovery capacity.

6 evidence requirements · 6 criteria · 5 review roles

procurement

Sustainable Procurement

Compare procurement choices using total cost, supplier risk, lifecycle impact, labor and human-rights concerns, and contract governance.

6 evidence requirements · 6 criteria · 5 review roles

responsible ai

Responsible AI and Technology Governance

Evaluate AI or digital-system adoption across purpose, evidence, rights, safety, accountability, data governance, and operational controls.

6 evidence requirements · 6 criteria · 5 review roles

research governance

Research Program Approval

Review a proposed research program across significance, methodology, feasibility, ethics, data stewardship, and reproducibility.

6 evidence requirements · 6 criteria · 5 review roles

environmental management

Environmental Intervention

Compare restoration, conservation, remediation, or management interventions using ecological evidence, uncertainty, durability, and community effects.

6 evidence requirements · 6 criteria · 5 review roles

humanitarian development

Humanitarian and Development Programming

Assess programs across need, protection, effectiveness, localization, feasibility, accountability, and conflict sensitivity.

6 evidence requirements · 6 criteria · 5 review roles

policy governance

Organizational Policy

Evaluate organizational policies across purpose, authority, evidence, feasibility, rights, implementation, and reviewability.

6 evidence requirements · 6 criteria · 5 review roles

advisory

Advisory Diagnostic and Recommendation

Structure evidence-based advisory diagnostics, options, recommendations, implementation conditions, and client approval records.

6 evidence requirements · 6 criteria · 5 review roles

Decision Briefing and Publication Studio

Turn a governed Decision Packet into a citation-native publication

Create executive memos, technical reports, board briefs, alternatives analyses, public dossiers, appendices, implementation plans, dissenting views, and monitoring plans.

Governance boundary: reviewed and public publications remain blocked until the Decision Governance and Review Center permits release. Print-ready HTML may be saved as PDF through the browser after human review.

v1.14.0 lifecycle control

Outcomes, Monitoring, and Reassessment

Track commitments after approval, compare actual results with expected outcomes, surface invalidated assumptions and emerging risks, and create human-owned reassessment, amendment, or retirement records.

Human-control boundary: monitoring may identify deviations and trigger reassessment, but it cannot automatically amend, suspend, approve, or retire a decision.

Public API, embeds & institutional integration

Publish safe summaries and exchange governed Decision Packets

Create governance-gated public dossiers, script-free readiness and scenario descriptors, signed institutional archives, Platform Core gateway records, and hash-addressed internal events.

Decision Packet 1.8
Privacy boundary: Public outputs remove invitation data, contact details, internal notes, raw private artifacts, and private Decision Room records. Institutional actions require an authenticated WordPress editor or administrator.

v1.16.0 · Accessibility, Offline Use, and Release Hardening

Validate access, recovery, migrations, and production release gates

Run an explicit engineering readiness review for keyboard and assistive-technology support, offline drafts, recovery snapshots, large-packet performance, backup and restore, privacy, and additive packet migration.

Boundary: Automated checks support release review but cannot establish full WCAG conformance, legal compliance, security assurance, or professional certification. Named humans still authorize release.
Online status will be detected when this workspace initializes.

v2.0.0 · Connected Decision Intelligence Platform

End-to-end decision lifecycle

Assess the active Decision Packet across Frame, Research, Evidence, Model, Compare, Challenge, Review, Approve, Publish, Implement, Monitor, and Reassess. The platform routes gaps to the right Sustainable Catalyst product while preserving human control.

Human-control boundary: Lifecycle assessment may recommend actions, but it cannot approve, publish, amend, suspend, retire, or externally deliver a decision.

Four-pillar scorecard

Environmental, social, economic, and governance scoring

Use transparent weights and indicators to compare viability across the four pillars.

Risk and resilience

Map exposure, vulnerability, and mitigation capacity

Screen risk across cost, implementation, environmental, stakeholder, and governance dimensions.

Advanced Scenario & Sensitivity Studio

Compare alternatives, vary assumptions, find thresholds, and inspect uncertainty

Model any number of alternatives, apply weighted criteria, run one-way and two-variable sensitivity screens, search for break-even points, compare time horizons, and review stakeholder distribution and reversibility.

Scenario Studio: scenario analysis is now an auditable studio rather than a fixed comparison table. Screening outputs remain conditional on the assumptions entered and should be routed to Workbench for probabilistic simulation, optimization, engineering, or domain forecasting.
Compatibility scenario matrix

Workbench handoff

Send deeper calculations, graphs, and technical checks to Workbench

Decision Studio synthesizes the decision. Workbench performs deeper symbolic, graph, engineering, scenario, risk, economics, environmental QA/QC, and domain-specific analysis.

Workbench handoff: handoff recommendations include tool IDs, reasons, priorities, shortcodes, and a payload summary that can be used to continue analysis in Workbench.

Saved Decision Packets & Export Center

Save the packet, reload prior work, and export the full decision bundle

Decision Studio can preserve the current Decision Packet as a browser-saved working record, generate a complete export bundle, and prepare JSON, Markdown, HTML, audit, readiness, scenario, and Workbench handoff exports.

Saved packets: saved packets are working records for review and continuation. Reviewed and public exports are governed by the current approval gate; internal draft exports remain available for controlled working use.

Saved packets

Export bundle

Integrated brief generator

Professional decision memo from the full Decision Packet

Generate a structured brief that synthesizes framing, evidence, scenarios, impact records, claim review, finance, recovery, four-pillar scores, audit/provenance, and Workbench handoffs.

Integrated brief: the brief generator now includes readiness status, scenario comparison matrix, Workbench handoff details, audit appendix summary, and Markdown/HTML/JSON exports.

AI Decision Briefing Layer

Assumption critique, risk interpretation, and decision caveats

Generate a cautious, site-scoped decision-support brief through the configured backend AI provider when available. If the backend or provider is unavailable, Decision Studio returns a deterministic fallback brief.

AI boundary: AI output is a drafting and interpretation aid. It does not approve, certify, assure, or replace professional judgment.

Audit & Provenance

Decision packet ledger, sources, assumptions, calculations, claims, changes, and review status

Generate a structured audit appendix that shows what was entered, which module artifacts are present, which sources support the decision, which calculations were used, and which assumptions still require review.

Audit and provenance: audit works with the readiness gate so unresolved evidence, source, calculation, finance, claim, and review issues can be surfaced before export.
Prototype boundary: Decision Studio is an educational, research-oriented, and decision-support tool. It does not certify sustainability performance, guarantee outcomes, verify claims automatically, or replace professional legal, financial, engineering, scientific, sustainability, assurance, compliance, medical, or mental health advice.

Core modes

What Decision Studio does

Decision Studio is not a general chatbot and not a generic ESG form. It is a structured decision-support workflow for sustainability tradeoffs, scenario review, calculator-backed reasoning, and auditable brief generation.

Frame

Clarify the decision

Define the project, policy, investment, site, organization, or intervention being reviewed so the analysis starts from a clear decision rather than a vague sustainability claim.

Score

Review four pillars

Compare environmental, social, economic, and governance dimensions with visible assumptions, qualitative notes, and calculator-supported indicators where appropriate.

Brief

Generate a reviewable artifact

Produce a decision brief with assumptions, risks, tradeoffs, scenario notes, evidence reminders, unresolved questions, and next review steps.

Decision framework

Four-pillar sustainability review

The Studio organizes sustainability decisions across four linked dimensions. The point is not to force a single automatic answer, but to make the reasoning visible enough for comparison, revision, and accountability.

Environmental

Ecological and resource effects

Emissions, energy use, water, materials, ecological pressure, resilience, pollution risk, adaptation, and long-term environmental consequences.

Social

People and communities

Stakeholders, equity, labor, access, safety, public value, community effects, displacement risk, participation, and human consequences.

Economic

Costs, benefits, and feasibility

Capital costs, operating savings, incentives, ROI, payback, funding constraints, benefit-cost reasoning, affordability, and tradeoff pressure.

Governance

Accountability and implementation

Transparency, evidence quality, review status, implementation capacity, compliance awareness, ownership, institutional risk, and auditability.

Calculator-backed reasoning

Models underneath the brief

Decision Studio combines narrative structure with calculator-supported reasoning. The goal is to keep outputs inspectable: numbers should have assumptions, assumptions should be visible, and recommendations should remain reviewable.

Weighted scorecard

Four-pillar comparison

Combine pillar scores and weights into a transparent decision-quality view, while preserving qualitative notes and limitations.

Emissions and resources

Environmental estimates

Estimate emissions reductions, resource effects, efficiency changes, and environmental tradeoffs when enough inputs are available.

Finance

Cost and benefit logic

Review capital costs, operating savings, ROI, payback, NPV-style reasoning, financial feasibility, and tradeoff pressure.

Risk

Uncertainty and resilience

Surface implementation risks, assumption sensitivity, resilience concerns, uncertainty flags, and review questions before decisions harden.

Scenario comparison

Alternatives under constraint

Compare options such as baseline, moderate change, high investment, delayed implementation, or lower-cost alternatives.

Decision brief

Structured output

Generate a brief that records decision framing, pillar review, tradeoffs, assumptions, risk notes, evidence reminders, and next steps.

Outputs

What the Studio should produce

A useful decision-support tool should leave behind a reviewable record. Decision Studio is designed to produce artifacts that can be inspected, shared, revised, exported, and connected back to the Sustainable Catalyst methodology.

Brief

Decision narrative

A concise sustainability decision brief with context, pillar review, recommendation posture, major risks, and open questions.

Scores

Pillar summary

Environmental, social, economic, and governance views summarized in a way that makes scoring assumptions visible.

Exports

Portable records

JSON, CSV, and print-friendly output paths for audit trails, documentation, revision, and future integration.

Handoff

Next analytical step

When the decision requires deeper modeling, the Studio should route users to the Workbench, module demos, methodology, or GitHub repository.

Relationship to Workbench

Decision Studio and Workbench are connected, but different

Decision Studio is a focused decision-support module. Workbench is the broader analytics, calculator, visualization, validation, equation-routing, and learning pathway layer across Sustainable Catalyst.

Use Decision Studio when

You have a sustainability decision to structure

  • You need a decision brief.
  • You want four-pillar sustainability review.
  • You are comparing options or scenarios.
  • You need visible assumptions, tradeoffs, and risks.
  • You want an auditable starting point for review.

Use Workbench when

You need broader analytics or learning pathways

  • You need calculators beyond one decision brief.
  • You want graphs, visual analytics, or model outputs.
  • You are working through math, science, economics, psychology, governance, or systems modeling.
  • You need article-aware calculator routing.
  • You want to explore Sustainable Catalyst topics broadly.

Operating flow

From decision question to reviewable brief

The Studio workflow is strongest when it is treated as a structured review process rather than a final answer machine.

  1. DefineDecision
  2. ScorePillars
  3. ModelTradeoffs
  4. CompareScenarios
  5. BriefOutput
  6. ReviewAssumptions
  7. ExportRecord
Review path:
decision → pillars → calculators → scenarios → risks → brief → export → Workbench or methodology follow-up

Use cases

Where Decision Studio fits

Decision Studio is useful when a sustainability question needs more structure before it becomes a report, investment case, policy memo, technical model, or implementation plan.

Energy and emissions

Efficiency or transition decisions

Compare retrofit options, renewable energy investments, emissions reductions, cost tradeoffs, and implementation risks.

Infrastructure

Resilience and public systems

Review infrastructure choices across environmental exposure, social benefit, economic feasibility, and governance capacity.

Procurement

Supplier or technology choices

Structure tradeoffs among cost, quality, emissions, labor, risk, implementation, evidence, and long-term public value.

Policy and programs

Public-interest decisions

Turn a policy, program, or initiative into a decision brief with stakeholders, assumptions, indicators, risks, and next review steps.

Technical architecture

WordPress interface, analytical backend, and AI-assisted briefing

Decision Studio is designed as a WordPress-integrated module backed by a Render-hosted FastAPI service. The frontend should remain simple, while the backend handles analysis, AI-assisted briefing, deterministic fallbacks, exports, and future integrations.

Interface

WordPress shortcode

The page embeds the Studio with a shortcode, keeps the tool close to the platform explanation, and allows future page-level variants.

Backend

Python / FastAPI

The backend can handle calculator logic, scenario analysis, brief generation, AI provider routing, validation, and export-ready outputs.

AI layer

Gemini or fallback briefing

When configured, Gemini can assist with decision briefs. If AI is unavailable, the Studio should still return deterministic structured output.

Open development

Inspect the repository and suggest improvements

Decision Studio should improve in public: better calculators, clearer exports, stronger validation, cleaner brief templates, Workbench handoffs, SDG and planetary-boundary mapping, and more transparent assumptions.

Boundaries

Educational decision support, not professional advice

Decision Studio is for learning, exploration, structured analysis, and decision-support reasoning. Outputs depend on user inputs, assumptions, data quality, calculator maturity, backend availability, AI-provider behavior, and human review.

Use responsibly: Do not enter confidential, proprietary, sensitive personal, legal, medical, financial, or regulated information into the public Studio. Use the output as a structured starting point, not a final decision, certification, assurance opinion, compliance review, investment recommendation, or professional judgment.

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