Frame the decision surface.
Clarify where AI should support analysis, comparison, synthesis, or review, and where human judgment must remain explicit.
Approach
From sources to accountable AI systems.
Co-Arq helps teams turn dispersed knowledge into graph-structured workflows that can be tested, reviewed, and deployed with control.
Build the source graph.
Connect documents, rules, systems, permissions, decisions, and operational constraints into a structure that can be queried and inspected.
Design controlled workflows.
Shape focused applications around real questions, visible evidence, operational context, and review routines.
Evaluate with real questions.
Define quality criteria, test questions, failure modes, citation expectations, and escalation rules before wider use.
Prepare deployment.
Adapt architecture choices to security, data sensitivity, cost, latency, continuity, and the operating constraints of the organization.