client-intake

Automating client intake involves capturing multi-channel inputs from email, forms, chat, and webhooks, then parsing them into structured tasks. The skill classifies intent, estimates effort, and routes requests to the appropriate pipeline automatically.

Routing client requests requires classifying intent, extracting requirements, and matching the request with the appropriate skill. This approach assigns priorities and hands off the structured intake record to the correct pipeline for orchestration.

Handling ambiguous client requests requires enforcing validation and ambiguity handling policies during intake. The system identifies unclear requirements, escalates critical cases when needed, and ensures timely and accurate orchestration of the workflow.

Yes, automated intake qualifies raw client messages by classifying intent, estimating effort, extracting requirements, and identifying stakeholders. This transforms unstructured inputs into structured, actionable workflows for the agency.

Escalation policies for critical client intake cases enforce validation, emit automatic acknowledgments, and escalate when requirements are ambiguous or urgent. This ensures timely and accurate orchestration of the routed tasks.

Structuring client messages before task orchestration ensures raw multi-channel inputs are converted into actionable workflows. Qualifying the intake by extracting requirements and classifying intent prevents routing errors and pipeline bottlenecks.