The platform.
See it working.
Four steps from operating context to governed, measurable outcomes. Every decision audited, every action traceable.
Request evaluationRetail runs on
decisions.
Most are ungoverned.
Every price change, every replenishment order, every markdown timing, every promotion selection — these are economic decisions that directly determine margin outcomes. Today, they're scattered across spreadsheets, disconnected SaaS tools, and institutional memory. There is no shared layer. No evidence trail. No learning loop.
Auctorian is that layer.
A single governing platform that ingests decision context, surfaces what you're losing, simulates action paths with full governance, executes within bounds, and learns from every outcome. Not another point solution. The operating system underneath all of them.
One command surface.
Six decision modes.
No maze of dashboards. The workspace supports both proactive opportunity surfacing and reactive user-driven decisions — through a single chat-first interface.
Underpricing — Electronics
$847K at stake
Markdown timing — Apparel
$623K at stake
Stockout risk — Home
$412K at stake
Where are we leaking margin this week?
How the Decision OS works.
Auctorian sits above existing enterprise systems and turns operating context into governed decisions, controlled action, and measured learning.
Connect the operating context.
Auctorian reads the business context required for decisioning — transactions, inventory, pricing, orders, suppliers, planning, and external conditions — without forcing a data warehouse rebuild.
Auctorian does not replace existing systems. It becomes the decision layer above them — reading context, not owning data.
The OS governs the lifecycle. Cartridges bring the domain intelligence.
CONTEXT → DECISION → GOVERNANCE → ACTION → OUTCOME
Three layers.
One governing core.
Signal Layer
Ingest. Normalize. Contextualize.
Translates raw enterprise data into structured decision context across every active operational domain.
Decision Runtime
Simulate. Approve. Execute.
Transforms business intent into governed recommendations with full evidence trails and safety bounds.
Trust Layer
Audit. Govern. Learn.
Enforces role-aware access, approval routing, dry-run verification, and continuous outcome measurement.
Auctorian separates conversation from authority. The chat interface coordinates the work; deterministic, source-backed decision infrastructure decides what is supportable.
One request.
Five governed agents.
One business request activates coordinated decision agents that understand context, retrieve evidence, generate actions, enforce governance, and render an auditable decision.
The model does not invent the decision. The runtime compiles it from evidence, candidates, constraints, approvals, and outcome logic.
“Should we adjust pricing on underperforming SKUs in the bedding category?”
Understanding Agents
Evidence Agents
Decision Agents
Governance Agents
Presentation & Learning
Understanding Agents
Interpret the user's intent, selected mode, business scope, active decision context, and follow-up questions.
One auditable, review-ready decision.
Generic AI copilots produce answers. Auctorian coordinates governed decision agents to produce review-ready business decisions.
A simple decision,
end to end.
A retailer asks whether it can raise price on a single SKU. The numbers are illustrative; the flow is the decision logic Auctorian is designed to run.
Should we raise the price on this SKU?
Input signals carry lineage and freshness
Guardrail prunes the unsafe candidate before simulation
Winner is scored against an explicit baseline
Decision remains review-only until approved
Execution prepared as a dry-run / manual action packet
Decisions
do not live alone.
A price move can change demand. A promotion can strain inventory. A stockout can waste ad spend. Auctorian coordinates decisions as a system, not as isolated recommendations.
Orchestration Loops
A commercial price adjustment changes velocity expectations, immediately calculating localized re-order levels to avoid stockouts.