Forward-deployed / AI Knowledge Graph
Flowable

Do you want a process engine? — the checklist

Score one point per yes:

  • [ ] The flow waits on people, documents, or deadlines for days or longer.
  • [ ] Humans and systems interleave (reviews between API calls).
  • [ ] Deadlines/SLAs/expiries change behaviour (reminders, escalations, expiry).
  • [ ] Audit/compliance will ask “what happened, when, under which rules?”
  • [ ] The business changes the flow/policy more often than engineering deploys.
  • [ ] “Where is case X stuck?” is a question someone asks weekly.

5–6: strong engine case. Start at Phase 1. 3–4: engine plausible. Prototype the hairiest flow first (Phase 0, lesson 03). 0–2: use the right lighter tool:

Situation Use instead
short, automated, stable flow status column + queue + retries
engineer-only orchestration, no business-facing model durable execution (Temporal-style)
autonomous services, no central “where is X?” requirement event choreography
one team’s UI wizard application state, not workflow

Red flags that someone is solving the wrong problem with an engine: “we’ll use it as our microservice orchestrator for everything” — it’s for business processes, not RPC. “The diagram will document our code” — if it doesn’t execute, it will lie (Principle 2). “We need it for scale” — engines buy coordination, not throughput.