Case Studies
Real Deployments. Measured Impact.
AI agents embedded into real workflows driving measurable gains across revenue, operations, and compliance.
Scaling Collections with 24/7 Autonomous Outreach
Human agents limited by time, bandwidth, and availability
Inconsistent call quality and conversation outcomes
Delayed or missed follow-ups reducing recovery rates
Language and time zone barriers limiting reach
Difficulty enforcing client-specific rules and legal frameworks consistently
Best for: Regional operators with 10–50 locations
We developed an AI voice agent for debt collection designed to operate autonomously while remaining compliant and secure.
Autonomous collection conversations with natural, human-like voice
Adaptation to client-specific rules, policies, and legal requirements
Real-time access to internal databases, structured tables, and approved web sources
24/7 operation across multiple time zones
24/7 Automated Maintenance Intake, Dispatch, and Follow-up
Store Managers calling after hours with urgent issues
Missed calls, inbox overload, and delayed responses
Manual intake and dispatch requiring human coordinators
Inconsistent triage and incomplete work orders
Excessive follow-ups to confirm arrival and resolution
End-to-End Voice-Led Coordination
Instant Call Intake
Service Awareness
Structured Questioning
Live Work Order Creation
Automated Dispatch
Confirmation & Escalation
Post-Service Follow-Up
Exception Handling
Structured Planning and Decision Support for Franchise & Multi-Unit Businesses
Inconsistent strategic planning across locations
Operators unsure how to prioritize growth initiatives
Limited access to ongoing sales and operational coaching
Action plans created but rarely executed or refined
Leadership teams stretched thin supporting individual operators
The Solution: Scarlett
Conversational strategy and decision guidance
Business and revenue growth planning
Sales and operational coaching
Clear, step-by-step action plan generation
Iterative refinement of plans through ongoing dialogue

