Question 1

What is Enmesh AI?

Accepted Answer

Enmesh AI is a decision architecture platform that makes institutional knowledge usable by AI agents. It extracts the rules, constraints, exceptions, and precedents that define how an organization actually operates, then encodes them into a structured layer that agents can reference at decision time.

Question 2

How is Enmesh AI different from workflow automation tools?

Accepted Answer

Workflow automation tools (like RPA) follow predefined steps. Enmesh AI captures the decision logic behind those steps, including the exceptions, judgment calls, and context-dependent rules that automation tools cannot handle. It gives AI agents the reasoning layer they need to handle edge cases correctly.

Question 3

What is decision architecture?

Accepted Answer

Decision architecture is a structured representation of how an organization makes decisions. It includes the explicit rules, implicit constraints, historical precedents, and exception-handling patterns that define correct behavior. Enmesh AI extracts this from existing documents and workflows and encodes it into a format AI agents can interpret.

Question 4

How do AI agents use Enmesh?

Accepted Answer

AI agents query the Enmesh semantic control plane when they encounter a business decision. Instead of relying on prompt instructions or training data, the agent receives the specific rules, constraints, and precedents that apply to that decision in context. This lets agents follow organizational logic rather than hallucinating answers.

Ideas

Why 95% of AI Pilots Fail to Reach Production

Why Context Graphs Aren't Enough

What Decision Architecture Actually Is