ASLANCORBook a 20-minute callUnify fragmented customer response into one operating workflow.
An anonymized implementation for a bilingual healthcare clinic: AI voice and Instagram intake, structured CRM records, operational routing, staff notifications, and controlled human handoff.
The operating system was built and launched. Financial impact is not claimed because downstream appointment and collected-revenue outcomes are not yet fully captured.
THE OPERATING PROBLEM
Demand was entering faster than the existing response process could organize it.
The constraint was not simply missed calls or an Instagram backlog. It was the absence of one controlled path from incoming demand to a responsible staff member and a visible outcome.
Calls and Instagram messages entered through different operational paths.
Patient, service, partnership, and business requests required different owners.
Staff needed structured information—not another unfiltered inbox.
Follow-up depended on manual copying, individual memory, and channel switching.
DESIGN PRINCIPLE
Automate the handoff—not the responsibility.
AI agents handle first response, classification, structured intake, routing, and notification. Staff retain control over clinical, scheduling, financial, and exception decisions.
SYSTEM ARCHITECTURE
One workflow across channels.
Receive
Voice or Instagram inquiry enters the response layer.
Understand
The first question is answered and the request type is classified.
Structure
Required contact and request information becomes a consistent CRM record.
Route
The record moves to the staff queue responsible for the next action.
Control
Assignment, status, summary, and exceptions remain visible.
OPERATING RULES
The system follows the operating model—not a generic chatbot script.
IMPLEMENTATION
From operating requirements to live daily use.
Discover
Map services, request types, working hours, escalation boundaries, CRM fields, and staff ownership.
Design
Create the intake logic, routing architecture, structured records, safeguards, and notification paths.
Build
Configure voice and Instagram workflows, connect the CRM, and activate staff-facing notifications.
Test
Run scenario-based acceptance tests across patient, business, fallback, and exception paths.
Go live
Launch the operating system and refine behavior using real conversations and observed exceptions.
WHAT WAS DELIVERED
A customer-response operating system—not a collection of disconnected automations.
AI voice intake
A bilingual AI phone agent that separates request paths and preserves structured context.
Instagram intake
Immediate first-response logic, structured data collection, and controlled handoff.
Unified CRM
One record format for source, contact details, request summary, assignment, and status.
Operational routing
Separate staff queues for patient-facing and business or operations requests.
Notifications
Staff alerts that carry usable context instead of forcing teams to reconstruct the conversation.
Control rules
Escalation boundaries, human-review paths, deduplication logic, and documented operating behavior.
WHAT CAN BE CLAIMED
The system is live and the operating path exists.
Voice and Instagram intake, CRM creation, routing, notifications, and staff handoff were implemented and moved into live use.
WHAT IS NOT YET CLAIMED
Revenue impact requires a closed measurement loop.
Reliable ROI needs appointment date, attendance, service sold, collected revenue, and source connected to each inquiry. Until those fields are consistently captured, no revenue number belongs in the case.
This anonymized implementation summary omits the client's identity, brand assets, commercial terms, conversation content, and patient information. It describes the delivered operating architecture without claiming unverified financial or clinical outcomes.
START A CONVERSATION
Where is operational friction costing the business?
Share the constraint, the current workflow, or the outcome you need. We'll start with the operating problem.