Gappy is designed around a simple idea:
AI becomes operationally useful when it can understand context, act within authority, verify what happened, and escalate what it should not decide alone.
Operating loop
Each stage creates the evidence and constraints required for the next. Escalation is part of the operating model, not a fallback hidden at the edge.
Detect the event
Assemble context
Choose within bounds
Act across systems
Coordinate people
Check the outcome
Hand off uncertainty
01
Context
Operational work depends on records, messages, policies, history, and exceptions. Gappy assembles the context required for a bounded decision before an action is taken.
02
System interaction
Important operations span inboxes, browsers, internal tools, databases, and third-party systems. The operating layer is designed around that reality.
03
Verification
Sending a message or updating a record is an action. The workflow is complete only when the intended operational outcome has been checked.
Action ≠ Completion
04
Human control
Authority is scoped. Ambiguity, policy exceptions, or risk are escalated to the right person with the operational context and action history intact.
Design principles
Define what the system may decide and which actions it may take.
Preserve the context, decisions, actions, and observed result.
Route uncertainty to a person with enough context to act.
Expand responsibility only where operating evidence supports it.
Work with the systems and business logic already in place.
Work with Gappy
Bring us a workflow with real systems, constraints, exceptions, and a clear outcome. We will start by making the operating truth visible.
