Skip to main content
USE CASES

Where RuleFoundry fits best

RuleFoundry is strongest where business logic is dense, edge cases matter, and the people holding the knowledge are overloaded.

Compliance and regulatory workflows

Capture how filing decisions really change by jurisdiction, timing, status, and exception before the logic hardens into a system.

Claims and eligibility logic

Make approval, review, rejection, and evidence logic reusable instead of repeatedly asking the same operations experts.

Finance and approval routing

Clarify approval paths, precedence, thresholds, and overrides so the team can build from the same reviewed logic.

Internal workflow automation

Reduce repeated clarification meetings by creating a durable source of truth for internal tools, approvals, and operating procedures.

ERP and system customization

Preserve the real-world logic held by legacy process owners so implementation teams do not have to reconstruct it from tickets.

Consulting and delivery teams

Capture client knowledge once, review it together, and reuse it across planning, delivery, documentation, and connected assistants.

Field and channel account decisions

Talk through why an account needs a visit, a partner handoff, a timely revisit, or a pause when the right move depends on more than a CRM stage.

Best suited to workflows with real complexity

RuleFoundry creates the most value when the workflow is exception-heavy, high-consequence, and distributed across a small number of experts. For simple, low-risk flows that are already clearly documented, a lighter process may be enough.

EXPLORE THE PROBLEM

Go deeper on the logic these workflows depend on

These essays show how repeated expert questions, undocumented decisions, and agent handoffs create risk before a team starts building.

Tribal KnowledgePart 05

Ask Dan is a system smell

The Ask Dan Test: How to spot tribal knowledge before it breaks AI-built software

Coding got democratized faster than expert business-logic extraction. Use the Ask Dan Test to spot undocumented production logic before it hardens into brittle automation or confidently wrong AI-built software.

Best first takeaway

A simple test for spotting workflows that still depend on hero knowledge

The Ask Dan Test: How to spot tribal knowledge before it breaks AI-built software
AutomationPart 06

Process visibility is not decision clarity

Why automation projects fail before the code: the undocumented logic problem

Most automation failures are diagnosed at the code, tool, or AI layer. The deeper failure is older: teams automated a cleaned-up story about the workflow before they extracted the real decision logic.

Best first takeaway

Why many teams automate the picture instead of the rules

Why automation projects fail before the code: the undocumented logic problem
AgentsPart 07

Resolve the missing decision

Why coding agents still need expert interviews

Coding tools can find ambiguity. The next step may need the person who knows which business behavior to preserve or change. Here is how an expert interview fits.

Best first takeaway

Where expert judgment complements requirements analysis and code inspection

Why coding agents still need expert interviews
Account decisions

What should happen next?

How to decide the next move for an account when the usual follow-up fails

A quiet account is not a single state. Use fit, buyer readiness, partner support and timing to make the next action explainable and reviewable.

Best first takeaway

How to distinguish a poor fit from a temporary timing or handoff problem

How to decide the next move for an account when the usual follow-up fails

See the kinds of workflows where RuleFoundry is strongest

If you want a more concrete feel for the product, start with the examples page or try it on your own workflow.