Methodology

Evidence-bounded. Scenario-tested. Built for enterprise decisions.

Decidian uses public-safe strategic actor simulation methods to help institutions structure evidence, model reactions, branch scenarios, test failure pathways, and create decision packets.

Structure evidence

Model reactions

Branch scenarios

Test failures

Package decision

Method Boundary

Decidian does not publish proprietary scoring weights, private algorithms, internal agent instructions, confidential formulae, private playbooks, client data, or implementation-level orchestration. The public methodology explains the operating principles, not the private engine.

Public method

Public-Safe Method Flow

Sources

Evidence Bands

Actor Map

Relationship Graph

Scenario Branches

Red-Team Shocks

Decision Packet

Calibration

Principles

Eight methodology principles

Click any principle to expand the detail.

Plain-English explanation

Sources and claims are graded by source strength, freshness, provenance, decision relevance, and validation needs — then surfaced as evidence bands P0 to P5.

Client value

Reviewers see the strength of the underlying record, not just the confidence of the tone.

Output artifact

Evidence map and P0–P5 bands inside the decision packet.

Evidence bands describe the support behind a claim. They do not assert source truth.

Plain-English explanation

The platform identifies the actors that may shape the decision — boards, regulators, auditors, investors, counterparties, customers, media, employees, and coalitions — and how they typically react under analogous conditions.

Client value

Decisions are reviewed against the reaction surface, not just internal logic.

Output artifact

Actor map with reaction pathways inside the packet.

Decidian does not assign motive to any named individual.

Plain-English explanation

Connects actors through influence, dependency, opposition, trust, escalation, incentives, and narrative channels so reviewers can see how a reaction propagates.

Client value

Surfaces the channels through which approvals, blocks, and escalations actually move.

Output artifact

Relationship graph inside the packet.

Graphs reflect publicly observable or evidence-supported relationships only.

Plain-English explanation

Decidian can build a new governed RAG core or enhance an existing retrieval system so retrieval is source-aware, evaluated, gated, and replayable.

Client value

Retrieval becomes defensible enough to support enterprise decisions, not just answers.

Output artifact

RAG assurance report, evidence bands, query fingerprints, and audit replay logic.

Decidian improves retrieval reliability and governance. It does not guarantee every downstream user decision.

Plain-English explanation

Decidian can compare expected pathways against observed outcomes and update future scenario logic — the loop that turns one-off analysis into recurring decision rehearsal.

Client value

Scenario logic improves over time as the model is compared against the world.

Output artifact

Calibration notes and refreshed scenario probabilities.

Calibration informs future scenarios. It does not retroactively validate prior advice.

Decidian outputs are probabilistic decision-support tools. They do not constitute legal, investment, medical, psychological, regulatory, accounting, valuation, or tax advice.

View Decision Packet Outputs

Evidence-bounded. Scenario-tested. Built for enterprise decisions.

Public-Safe Method Flow

Eight methodology principles

Evidence-Bounded Reasoning

Strategic Actor Modeling

Relationship Graphs

Scenario Branching

Red-Team Shock Testing

RAG and Vector Integration

Compliance and Audit Telemetry

Post-Event Calibration