Independent intelligence + decision design
Start with
the decision.
Decisagent helps organizations determine whether AI should participate in a consequential decision—and define the evidence, authority, human control, and evaluation that participation requires.
Decision Design Specification
Turn diagnosis into a reviewable implementation design.
Continue from Fit to specify alternatives, evidence, objectives, hard constraints, uncertainty, authority, human controls, trace, evaluation, interfaces, failure controls, and implementation discovery. Unknowns stay visible and every material field carries provenance.
The public deterministic artifact requires no account or model. Export a concise Implementation Brief, canonical JSON, expanded technical Markdown, or print-ready view.
Create a design specificationCategory definition
A Decision Agent makes the consequential decision itself a first-class object.
It works with evidence, alternatives, objectives, constraints, uncertainty, authority, accountable people, and observable outcomes. Choosing an internal tool while completing a task is not enough.
Read the working definition →The unit of analysis
A system’s name is not evidence of what it can decide.
EvidenceWhat information supports the decision—and what is missing?
ChoiceWhich real alternatives are evaluated against objectives and constraints?
AuthorityWho authorizes an action, under which boundaries?
OutcomeCan a result be attributed to the originating decision?
Decision-first map
Start with what must be decided.
Supplier Selection
Choose a supplier or supplier portfolio for a defined requirement and operating horizon.
02Supply-Chain Intervention
Choose whether and how to intervene when supply, logistics, quality, or demand conditions threaten an operating plan.
03Pricing
Choose a price, price floor, discount, or pricing policy for a product, customer, or market context.
04Capacity Planning
Choose how much operational, technical, or service capacity to provision across a defined planning horizon.
05Customer Escalation / Intervention
Choose whether, when, and how to intervene in a customer risk, service, retention, or safety situation.
Capability, not quality
DA‑0 → DA‑5 is a maturity architecture.
A level describes which decision capabilities have evidence. It is not a five-star rating, product ranking, or statement that an outcome will be good.
Inspect Methodology v0.2 →- DA-0Insight Assistant
Information or analysis without a first-class external decision.
- DA-1Evidence Agent
Evidence assembly for a named decision, without alternative evaluation into a recommendation.
- DA-2Decision Support Agent
Explicit alternatives evaluated into a recommendation or justified abstention.
- DA-3Governed Decision Agent
A reproducible trace plus explicit objectives, constraints, or uncertainty.
- DA-4Decision-Action Agent
A consequential external action under explicit policy or action-time authority.
- DA-5Closed-Loop Decision Agent
Attributed outcome, expected-versus-actual comparison, and a governed later-decision update.
Editorial boundary
Product intelligence remains accepted-only.
No vendor profile has crossed accountable human review yet. Fit and Decision Design remain fully useful from Decisagent’s versioned methodology, working ontology, and your in-browser context; candidate vendor research is never substituted.
Inspect the publication rules →