DECISION OS
Aiferis
A decision OS that reduces rework at the start of a project
Aiferis turns rough project notes into a map of goals, tasks, risks, and deliverables, then identifies missing assumptions and dependencies.
Try the public demo on Aiferis.com ↗Aiferis
DECISION OS
From rough notes to a verifiable map and the next decision
CHALLENGE
The problem
At the start of a project, success criteria, decision owners, assumptions, and dependencies are often left unclear. Plans can move forward before these gaps are resolved, resulting in significant rework later. Aiferis is designed to surface missing decision inputs before a plan changes.
APPROACH
Current approach
Aiferis structures unorganized notes into goals, tasks, risks, and deliverables, then checks for gaps in success criteria, decision ownership, and dependencies. When confidence is low, it asks a clarifying question instead of changing the plan automatically.
SYSTEM DIAGRAM
DECISION FLOW
From project notes to the next defensible decision
Aiferis structures incomplete information, checks the decision model, and asks before changing a plan.
INPUT
Project notes
Goals, requests, constraints, context
STRUCTURE
Decision map
Goals, tasks, risks, deliverables
VALIDATE
Find missing inputs
Criteria, owners, assumptions, dependencies
NEXT DECISION
Clarify, then proceed
A question when confidence is low
RESEARCH FLOW
Research and validation flow
- 01
Rough notes
Start with notes that have not yet been organized.
- 02
Structure
Break them down into goals, tasks, risks, and deliverables.
- 03
Validate
Find gaps in success criteria, decision ownership, and dependencies.
- 04
Next decision
When confidence is low, present a clarifying question instead of making a change.
CURRENT STAGE
Current research stage
A public demo using synthetic data is available. Registration is also open for limited demos, early pilots, and design partnership opportunities.
About this information
This page summarizes information published on the Aiferis.com as an invilab proprietary R&D project. Public information reviewed: August 10, 2026.
The project is under research and development. Publication does not guarantee future commercial availability or implementation of every described capability.