Zendesk Talk handles calls in a single workspace, resolve calls with AI agents and utilize AI for businesses seeking to enhance customer support operations. If your firm runs it, Milemarker brings that data into an environment you own and govern — held alongside your custodial, CRM and planning data rather than in a silo of its own.
Overview.
Zendesk Talk handles calls in a single workspace, resolve calls with AI agents and utilize AI for businesses seeking to enhance customer support operations. The records it holds — call management, AI agents for voice interactions and live call assistance — sit under its own export limits, retention rules and terms governing what you may do with your own information. Most of what a firm runs was never designed to hand its data back. Milemarker's ingestion layer connects to Zendesk Talk and lands what your agreements permit into a Snowflake environment your firm owns and administers, normalized into a model that stays stable even when the systems around it change. That means Zendesk Talk stops being a corner of the business nobody can report on. Its data joins your custodial, CRM, billing and planning sources under one set of rules — row-level entitlements, PII masking and SOC 2 Type II controls you set, rather than the scope any one vendor happens to offer.
How it works.
We start by confirming what Zendesk Talk holds for your firm and what your agreements permit you to export, retain and reuse. Milemarker then connects over Zendesk Talk's API and lands that data into a Snowflake environment your firm owns, normalized alongside everything else you run. Access is governed there: row-level entitlements, PII masking and audit trails applied per user and per field. From that point Zendesk Talk data can be combined with any other source you hold the rights to use.


