RuleFoundry brings the questioning patterns of strong forward-deployed engineers and consultants into the interview. It does not just analyze what was said afterward—it actively finds the rules, inconsistencies, and missing branches while the expert is present.
The workflow stays simple while RuleFoundry pulls out missing conditions, turns the conversation into reviewable outputs, and surfaces what still needs confirmation.
Name the workflow, add the context that matters, and choose whether you will answer or request the Extraction from an expert by email.
What the brief should cover
The interviewee speaks or types in the browser. RuleFoundry applies FDE- and consultant-style questioning to challenge vague answers, follow exceptions, test contradictions, and drive toward the logic that actually governs the workflow.
What RuleFoundry listens for
When the server-side completion gate is satisfied, the finished transcript and pseudo-logic artifact remain available for review, sharing, Logic Twin follow-up, and connected agents.
What teams review
It listens for what is missing, challenges what does not line up, and asks the next useful question while the expert is still in context. The transcript is evidence; the clarified business logic is the outcome.
The expert does not need to write a specification or learn a rigid form. RuleFoundry carries the structure of the Extraction.
It does not wait for transcript analysis. It follows ambiguity, asks for concrete thresholds, and tests the answer while the expert is still in context.
Teams can see the logic becoming explicit as the interview progresses instead of waiting for a fuzzy summary at the end.
Conflicting answers, missing branches, and unresolved conditions become visible while there is still time to ask the expert.
Example follow-up questions
Rule surfaced
If finance review flag is present, route to finance regardless of amount.
Conversation context
"Then finance gets it first, regardless of amount."
Gap surfaced
Renewals may follow a different threshold model and need confirmation before automation starts.
CONTINUE IN YOUR ASSISTANT
Add the RuleFoundry connection, sign in, approve the requested access, and choose a workspace. The assistant can then search and use only the Extractions and artifacts your account is permitted to access.
A simple workflow on the surface gives teams a cleaner way to work through complicated reality underneath.
WHY THIS WORKS
These are the most useful essays if you want to understand why RuleFoundry behaves differently from note-taking, transcript cleanup, or generic meeting AI.
Extraction beats transcription
AI made coding cheap. It did not make judgment legible. The new bottleneck is turning tacit workflow logic into something teams can actually review before build.
Best first takeaway
Why transcripts and summaries are weaker than they look
How to pull out the real rules
Good extraction is not generic meeting hygiene. It is knowing how to turn vague expert language into thresholds, branches, gaps, and reviewable logic before the call ends.
Best first takeaway
A five-step extraction loop you can reuse on real workflows
Meetings must become logic
A good SME call should leave behind a reviewable package of rules, flow, pseudo-code, scenarios, gaps, and source trace engineers and coding agents can build from.
Best first takeaway
What a strong extraction session should actually produce
That is usually the fastest way to tell whether the product fits.