AI-ready customer service operating system
Unified email, messaging, social, commerce, knowledge, routing, QA, reporting, and AI around one case model—rather than adding channels independently.
View anonymized case studySelected work
The examples below show the pattern behind the work: recover context, model ownership, connect systems, control automation, and make execution visible.
Unified email, messaging, social, commerce, knowledge, routing, QA, reporting, and AI around one case model—rather than adding channels independently.
View anonymized case studyDesigned customer operations around organizations, contacts, vessels, distributors, suppliers, projects, or other business entities using fields, custom objects, and lookup relationships.
Designed custom middleware for ERP, commerce, order, payment, document, and collaboration systems where native connectors were insufficient.
Built an internal environment in which a personal AI agent can use permissioned operational context from connected systems to support real work.
Mapped the relationship between customers, merchants, agents, partners, KYC, payments, disputes, support, compliance, and adoption.
Similar problem?
The useful starting point is what keeps breaking, what context is missing, who needs authority, and what outcome should become reliable.