Atlog Case Study
Atlog is a YC-backed AI platform that helps service businesses automate communication, manage customer interactions, and streamline operations. Fellows helped Atlog design a scalable, TCPA-compliant consent capture system that enables legal AI-powered calling.
Industry: B2B SaaS / AI / Compliance
Engagement: Product Strategy, Systems Design
Team: Yifei Fang (Team Lead), Kunal Bham, Charlyne Dong (Advisor)
Atlog builds AI voice agents that automate outbound and inbound customer calls. However, AI calling is only legal with verified TCPA consent, and most businesses lack a reliable, scalable way to capture, store, and enforce this consent.
Without a consent system:
Businesses risk legal exposure
AI calling cannot scale safely
Trust with customers breaks down
We framed the problem as both a legal compliance challenge and a product systems problem. Our team:
Mapped all stakeholders involved in consent (customers, business owners, AI systems)
Identified failure points where consent is ambiguous, unverifiable, or unenforced
Designed a system that treats consent as a first-class product object, not a checkbox
Proposed consent-outreach flow with Atlog's integrated CRM.
Step-by-step outline of consent capture flow.
We designed a frictionless, end-to-end consent capture and management system that integrates directly into Atlog’s AI calling workflow.
Key elements of the solution:
Explicit, unambiguous TCPA consent capture across customer touchpoints
Phone number verification to ensure consent authenticity
Immutable consent event logs with full metadata
Real-time CRM consent state updates
Automated safeguards so AI calls only trigger when
consent_state = valid
This system allows Atlog customers to scale AI calling legally, transparently, and safely.
Video of demo site our Fellows created to show Atlog's potential clients.
Enabled compliant AI calling at scale
Reduced legal and operational risk for businesses using Atlog
Created a clear audit trail for consent verification
Delivered a system architecture ready for real-world implementation
Key Deliverables
Stakeholder and user analysis (business owners & customers)
Consent system architecture and flow design
CRM integration requirements and data models
Compliance-driven product requirements
End-to-end consent lifecycle definition
