Three tools, all extracted from real customer code — not a diagram someone draws once and forgets to update. The same extraction serves the business user and the AI agent, so there's nothing extra to maintain.
See the actual business process UI flow a policy, claim, or submission follows — screen by screen, decision by decision — without reading a line of code. For each node in the flow, you can also see the UI screen details.
A structured flow graph the agent can reason over when it needs to know what already exists before proposing a change.
Every field, panel, and visibility rule on a screen, laid out the way it actually renders — so a product owner can review a screen without opening Studio.
Field-level metadata (typekeys, required rules, visibility conditions) the AI code agent uses to place a new field consistently with what's already there.
Visual design of integration patterns is edited and managed by Architects. These integration patterns standardize how you build the integration interfaces. A visual map of which systems talk to which product, and where — useful in scoping conversations long before anyone opens a batch or plugin file.
Known integration points and message contracts the Integration AI agent checks against so it doesn't propose a duplicate or conflicting touchpoint.
Hand-maintained process diagrams and integration maps are out of date the week they're finished. Because these three tools in DreamCatcher read directly from your implementation's actual code, they stay accurate as the implementation evolves — and they double as grounding context for every specialist agent working on that implementation.