From expert conversation to implementation-ready logic
RuleFoundry helps teams scope the workflow, interview the right experts, and turn what they know into structured deliverables before engineering begins.
Scope → Extract → Verify
Scope the mission
A requester defines what business logic needs to be extracted, why it matters, who the output is for, what rigor is required, and which SMEs should be involved.
Typical mission inputs
- Business area or workflow
- Downstream use
- Target SMEs
- Expected outputs
- Known risk areas
- Source materials if available
Extract through conversation
RuleFoundry schedules the session, joins the call, asks targeted follow-up questions, and captures the logic from how experts naturally explain the work.
Common extraction signals
- Hidden exceptions
- Thresholds and conditions
- Dependencies
- Approval steps
- Region-specific variations
- Unresolved ambiguity
Verify before implementation
The extracted logic is returned as structured artifacts that teams can inspect, review, and pressure-test before engineering begins.
Verification outputs
- Flow diagrams
- Rules catalogs
- Pseudo-code
- Scenario packs
- Ambiguity logs
- Implementation briefs
Approval routing for non-standard pricing requests
Mission brief
Scope the workflow, stakeholders, and downstream use
Expert sessions
Sales ops lead + finance manager
Source capture
Conversation, notes, screen-share context
Structured logic
Thresholds, exceptions, dependencies, approvals
Review
Open questions and missing branches surfaced
Deliverables
Decision flow, rules catalog, implementation brief
Why teams use this workflow
Minimal burden on SMEs
Experts talk through the logic instead of writing it down. The extraction happens in a natural conversation, not a documentation exercise.
More complete logic capture
Targeted follow-up questions surface hidden exceptions, edge cases, and dependencies that typical discovery processes miss.
Better handoff to engineering
Structured artifacts give engineering teams and coding agents a reliable starting point instead of ambiguous notes and incomplete tickets.