About Decisagent

Decision design and assurance for consequential AI decisions.

Decisagent helps teams determine how AI should participate in a consequential decision, produce a reviewable operating Design, and maintain the evidence and acceptance record for what authority an implementation has actually earned. Accepted product intelligence is a narrow supporting layer.

Organized around decisions, not agents

Directories begin with product names. Decisagent begins with the choice an accountable person or organization must make, then asks which evidence, alternatives, objectives, constraints, uncertainty, authority, and outcomes the system can handle.

Commercial independence

Decisagent charges for a deterministic implementation artifact, not editorial treatment. Vendors may never pay for a classification, evidence status, editorial conclusion, benchmark result, relationship, maturity level, ranking, or methodology outcome. Commercial state remains separate from research state. Decisagent has no sponsorship, marketplace, certification, or paid ranking product.

AI proposes; humans adjudicate

Automated research may register sources, preserve observations, and propose structured claims. It cannot impersonate a reviewer. Only an actual human can accept or reject authoritative intelligence, and every accepted state retains its evidence, rationale, methodology, scope, timestamp, and revision history.

Vendor evidence is attributed as vendor evidence. Independent testing is claimed only when a completed, reproducible Decisagent evaluation receipt exists.

A structured decision diagnosis

Decisagent Fit asks about a real decision and returns a portable, reproducible assessment of participation suitability, capability posture, evidence, action authority, human control, evaluation, and failure modes. It is derived from supplied context that Decisagent has not externally verified, requires no account, and is not persisted on a Decisagent server.

Assess a decision →

From diagnosis to a reviewable design specification

Decision Design turns a structured Fit assessment and concise clarifications into a vendor-neutral artifact with explicit unknowns, evidence contracts, authority, human controls, trace, evaluation, interfaces, failure controls, and approval requirements. The public workflow is deterministic and needs no external model. A separate exact-owner synthesis environment remains experimental/bounded and is not a public feature.

Create a Decision Design Specification →

From proposed Design to earned authority

The local-first Decision Assurance workspace binds Design acceptance, implementation evidence, observed gate results, accountable dispositions, released authority, settlement, and outcome review into a portable case. It does not turn a typed name into a verified signature or agent evidence into human approval.

Open Decision Assurance →

A paid implementation continuation, not a readiness claim

The one-time $129 Decision Agent Implementation Pack v2 compiles a validated local Design into architecture, implementation contracts, rollout, backlog, acceptance gates, build/buy criteria, and an implementation-agent handoff with a strict evidence return path. It is a structured starting point; it cannot expand authority, accept its own gates, or prove deployment or outcome.

Inspect the product and synthetic sample →