Public readiness planner

Start with the questions that shape the AI system record.

Choose a business function and Sigent returns the first discovery questions, evidence requests, and likely use cases from the live engine catalog.

Before intakeSend the readiness packet to the people who own the facts.

It explains what to gather before adding an AI system, including owner, vendor, model, data source, evidence, and control details.

Open packet
Inventory and supply operationsinferred
Discovery questions
  1. Which inventory decisions does this system support?
  2. Does it forecast demand, recommend replenishment, route fulfillment, or flag stock risk?
  3. Which source systems feed the AI system?
  4. Which teams act on its outputs?
  5. What happens if the forecast or recommendation is wrong?
  6. How are stockouts, overstock, vendor delays, and substitutions handled?
Evidence to collect
sample forecast or recommendation outputsource-system list and data refresh scheduleinventory decision workflow or SOPhuman review and override procedureexception log for stockouts, overstock, or substitutionsvendor documentation for any AI-enabled planning tool
Suggested uses
demand forecastingreplenishment recommendationstockout risk detectionwarehouse routingsupplier lead-time planningreturns forecastingdynamic safety-stock planning

Use these answers to create the AI system record, then request evidence before treating inferred facts as verified.

Important boundary

This is discovery planning, not a compliance assessment. Sigent produces compliance documentation; it does not certify compliance, provide legal advice, test AI systems, or file with regulatory authorities.