Tools & Templates
Turn decision architecture
into practice.
DCRADO tools translate the principles of Decision Architecture into practical structures for framing, challenging, owning and overseeing consequential decisions.
Each tool is designed to make a critical part of the decision process visible — from the question being asked to the evidence considered, the judgment applied, the authority exercised and the responsibility that follows.
The Complete Decision Workflow
DCRADO End-to-End
Decision Pack
Eight connected tools bring the full DCRADO decision process together — from defining the decision and retrieving evidence to challenging AI, applying human judgment, establishing ownership and overseeing what happens next.
The pack connects the eight core DCRADO tools into one structured workflow, preserving the thread from evidence and AI contribution through human judgment, decision authority, ownership and post-decision oversight.
The DCRADO Workflow
Six stages. One connected
decision process.
The D.C.R.A.D.O. workflow structures a consequential decision through six connected stages — from defining what must be decided to overseeing what happens after the decision is made.
Each stage carries the decision forward while preserving the thread between context, evidence, AI contribution, human judgment, decision authority, ownership and oversight.
01 · Define
Frame the decision
Clarify what must be decided, why it matters, who is affected and where the decision boundaries lie.
02 · Contextualize
Understand the environment
Make the strategic, regulatory, human, ethical and operational context — and the constraints surrounding the decision — explicit.
03 · Retrieve
Build the evidence base
Identify, retrieve and assess the evidence needed for the decision, making sources, reliability, assumptions and information gaps visible.
04 · Analyze
Challenge the intelligence
Test AI-supported analysis, assumptions and conclusions against the evidence, alternatives, uncertainty and contradictory information.
05 · Decide
Apply judgment and establish ownership
Apply human judgment, resolve trade-offs, confirm decision authority and make ownership and accountability explicit before action is taken.
06 · Oversee
Monitor, review and learn
Monitor outcomes, detect changes, review assumptions and determine when the decision should continue, change, escalate or be reopened.
Universal Core
Eight tools.
One decision architecture.
Each tool addresses a different point of failure in consequential decision-making. Together, they create a traceable path from the first question to post-decision accountability.
The tools can be used independently when needed, but their full value emerges when they operate as one connected decision process across the D.C.R.A.D.O. framework.
01 · Decision Framing Canvas
Define what must be decided
Frame the decision before analysis begins — clarifying purpose, stakes, scope, affected parties and decision boundaries.
02 · Context & Constraints Map
Make the environment explicit
Map the strategic, regulatory, ethical, human and operational context, together with the constraints surrounding the decision.
03 · Evidence & Retrieval Log
Build a traceable evidence base
Record the evidence, sources, assumptions and information gaps supporting the decision, including provenance, reliability and verification status.
04 · AI Output Challenge Sheet
Challenge the AI-supported analysis
Test AI-generated conclusions against evidence, assumptions, contradictory information, uncertainty and alternative interpretations before they influence the decision.
05 · Human Judgment Record
Make human judgment visible
Record where interpretation, trade-offs, professional judgment and accepted uncertainty shape the decision beyond the analytical output.
06 · Decision Authority & Ownership Matrix
Clarify authority and ownership
Define who contributes, challenges, recommends, approves, decides and ultimately owns the decision and its consequences.
07 · Decision Record
Record what was decided and why
Capture the final decision, rationale, evidence relied upon, alternatives considered, residual uncertainty and accountable decision owner.
08 · Oversight & Review Log
Oversee what happens next
Track outcomes, new evidence, changing conditions and review triggers, determining when the decision should continue, change or be reopened.
Eight tools. Six stages. One visible path from uncertainty to responsibility.
Responsible AI & Governance
Govern the use of AI
around the decision.
Decision Architecture provides the foundation. Governance tools extend that structure to the systems, controls and responsibilities surrounding the use of artificial intelligence.
These tools help organizations assess AI use cases, materiality, risk, human oversight, accountability, third-party dependencies and the governance obligations that surround consequential decisions.
01
AI Use-Case Intake
Define the use case
Capture the purpose, intended use, affected stakeholders and decision context before an AI system is introduced or expanded.
02
AI Governance Readiness Assessment
Assess organizational readiness
Assess whether governance, roles, controls, policies, skills and oversight structures are ready to support responsible AI use.
03
AI Risk & Materiality Assessment
Determine risk and significance
Evaluate the materiality, potential impact, risk exposure and consequences of the AI use case before defining the required level of governance and oversight.
04
Human Oversight Design Worksheet
Design meaningful human oversight
Define where human review, challenge, intervention and escalation must occur so that oversight remains meaningful rather than procedural.
05
AI Accountability Matrix
Make accountability explicit
Clarify who develops, operates, challenges, approves, oversees and remains accountable for AI-supported decisions and their consequences.
06
AI Vendor & Model Due-Diligence Checklist
Assess third-party AI dependencies
Examine providers, models, data dependencies, controls, limitations and accountability before relying on external AI capabilities.
07
AI Decision Escalation Template
Define when escalation is required
Establish the conditions, thresholds and authority routes that determine when an AI-supported decision must move to a higher level of review.
08
AI Incident & Post-Decision Review
Learn when AI-supported decisions fail
Record incidents, unexpected outcomes and control failures, identify what changed and determine the corrective or governance response required.
09
EU AI Act Governance Mapping Tool
Connect governance to regulatory obligations
Map the AI use case, responsibilities, controls and evidence to relevant EU AI Act governance requirements and organizational obligations.
Governance should strengthen the decision. It should not become a substitute for judgment and ownership.
USE CASE · RISK · OVERSIGHT · ACCOUNTABILITY · GOVERNANCE
Sector Architectures
Different decisions.
Different consequences.
The same need for responsibility.
The DCRADO core remains consistent while the context of the decision changes. Sector architectures translate the universal framework into the evidence, judgment, authority and oversight requirements of specific consequential domains.
The domain may change, but the need for structured judgment, traceable evidence, visible authority and accountable ownership remains.
Finance & Investment
Capital and investment decisions
Structure investment selection, portfolio allocation, market analysis and capital decisions where evidence, uncertainty, judgment and accountability must remain visible.
Healthcare & Clinical Decisions
Clinical and patient decisions
Support clinical judgment and patient-related decisions where evidence, safety, uncertainty, professional responsibility and human consequences must remain central.
Public Policy & Government
Policy decisions with societal consequences
Structure policy choices affecting citizens, institutions and society, where evidence, uncertainty, competing objectives and public accountability must remain visible.
Central Banking & Monetary Policy
Monetary and systemic decisions
Structure decisions on interest rates, inflation, liquidity and financial stability where models, uncertainty, timing and systemic consequences must be weighed under clear institutional accountability.
AML, Compliance & Financial Crime
Regulatory and financial-crime decisions
Structure decisions involving customer risk, AML, sanctions, financial crime and regulatory obligations where evidence, escalation and accountable judgment must remain visible.
Corporate Governance & Leadership
Strategic and governance decisions
Structure board, executive and strategic decisions where authority, challenge, competing priorities and ownership must remain explicit under uncertainty.
The architecture adapts to the decision. The requirement for visible responsibility does not.
What the Tools Make Visible
Better decisions are not only
better informed.
They are better structured.
Together, the DCRADO tools make the structure of a consequential decision visible — from framing and evidence to challenge, judgment, authority, ownership and oversight.
The objective is not to eliminate uncertainty. It is to make the path from analysis to action understandable, challengeable, traceable and reviewable — especially when artificial intelligence contributes.
01 · Clarity
Know what is being decided
Purpose, scope, objectives and the actual decision remain clear before analysis begins.
02 · Traceability
Follow the reasoning
Evidence, assumptions, analysis and judgment can be followed from input to final decision.
03 · Challenge
Question what appears convincing
AI outputs, assumptions and conclusions remain open to scrutiny, alternatives and informed disagreement.
04 · Judgment
Make human judgment visible
Show where interpretation, trade-offs, professional judgment and accepted uncertainty shape the decision beyond analytical output.
05 · Ownership
Know who owns the decision
Make decision authority, accountable ownership and responsibility for consequences explicit before and after action is taken.
06 · Oversight
Keep responsibility active after the decision
Monitor outcomes, new evidence and changing conditions so that decisions can be reviewed, escalated, modified or reopened when required.
Intelligence improves a decision when it strengthens judgment. Architecture ensures that responsibility remains attached to it.
Clarity · Traceability · Challenge · Judgment · Ownership · Oversight
Start a Conversation
Better AI decisions begin
with better structure.
Use the DCRADO tools to structure a consequential decision, strengthen AI governance or make an organizational decision process more explicit, traceable and accountable.
The starting point is not the technology. It is the decision: what must be decided, what evidence matters, where judgment is required, who has authority and who ultimately owns the outcome.