Multi-Tenant Enterprise Conversational Intelligence Platform

An AI startup had an MVP that worked for a small number of early customers, but every new B2B deployment required hands-on engineering. The product lacked a clean separation between shared platform capabilities and client-specific configuration, while missing security controls slowed enterprise IT review and commercial negotiations.

1. 01

   Multi-tenant shared platform core

   Re-architected the product around tenant isolation, admin and audit capabilities, and a shared voice and speech engine.

2. 02

   Configuration-driven client layer

   Separated per-client capture rules, extraction logic, workflows, and role-based views from the shared core so new deployments no longer require rebuilding the product.

3. 03

   Enterprise security and governance

   Built or scoped 25 controls across seven areas, including role-based access, governance, penetration testing, and AI red-teaming requirements.

• New customers can be configured and onboarded in under 30 minutes by a non-technical operator.
• One forward-deployed engineer can support 3-4 clients.
• 25 enterprise-grade security controls built or scoped to support enterprise procurement.