Multi-Tenant AI Workflow Automation Platform
Reusable backend architecture for AI workflows spanning sourcing, enrichment, evidence tracking, personalized outreach, meeting intelligence, and follow-up.
Product problem and boundaries
The platform supports reusable AI workflow capabilities while keeping client-specific behavior behind extensible adapters and preserving tenant boundaries.
Domain model and isolation
Domain models, authentication, authorization, stateful workflows, tenant boundaries, and usage controls form the core backend contract.
Reliability and provider abstraction
Idempotent background workflows, evidence and confidence tracking, provider abstractions, and human review before consequential actions reduce operational risk.
Usage controls
Provider-level usage controls and tenant-aware workflow boundaries support responsible operation across reusable product capabilities.
Trade-offs and lessons
A modular monolith favors shared capability reuse and simpler operational coordination while retaining clear seams for extension.
Personal ownership
Yash served as backend and architecture lead with a small product team, defining domain models, API contracts, provider abstractions, workflows, and technical roadmaps.