Cognitive layer
Discovers, investigates, challenges and recommends.
SERIALLABS RESEARCH
Cognitive Workflow Systems
A systems architecture for preserving knowledge state, decision authority and authorised intent as AI-supported work crosses into organisational action.
WORKING DEFINITION
A CWS connects cognitive work to a governed decision and its operational consequences.
It preserves what was known, what was inferred, who had authority, which conditions applied, what was authorised and which future evidence should trigger review.
THE CORE ARCHITECTURE
Three layers, joined by one explicit boundary.
Decision governance
Determines whether a recommendation may become authorised intent.
Operational capabilities
Execute that intent in the world and return outcomes.
ROLES OUTLAST AGENTS
Responsibility is more persistent than implementation.
Models, agents and tools will change quickly. Roles such as Researcher, Skeptic, Reviewer and Decision Maker describe durable responsibilities that can be assigned to people, software or a combination of both.
Collects and structures relevant evidence.
Challenges assumptions and exposes uncertainty.
Tests whether the recommendation satisfies the decision contract.
Exercises authority and creates governed intent.
A BOUNDED THESIS
Not every workflow is cognitive. Not every decision needs a CWS.
The architecture is useful only when cognitive work matters to a consequential decision. The MGDB provides a smaller governance boundary for cases that do not need the complete system.
FROM THEORY TO A REAL PROCESS
Recognise the boundary in one concrete system.
See how recommendation, evidence, authority, action and review appear in representative operating cases.
Explore company systems