Zion builds operational AI for clinics, payers, and life-science teams with privacy constraints first: least-privilege access, audit trails, and no model training on PHI unless you contract it. This page covers AI Patient Scheduling as Zion actually delivers it: scoped work after Discovery, then a pilot or retainer.
What we deliver
Capability
Intake, scheduling, and documentation assist — not a diagnosis SKU
Claims and prior-auth packet assembly from existing systems
Knowledge assistants over approved clinical and policy corpora
HIPAA / LGPD-aware architecture reviews before any agent goes live
Outcomes we design for
Less clerical time per encounter or claim
Clear data-flow diagrams for compliance and legal
A scoped pilot with success metrics before a broader rollout
If a previous sitemap advertised this path without a file, this page is the real closer: scope first, then build.
This URL describes a healthcare & life sciences capability. It is not a self-serve checkout SKU.
How the engagement runs
Discovery ($99) — We map the workflow, systems, and the KPI this page is supposed to move. No packaged SKU is assumed.
Design — Architecture, data boundaries, human approvals, and the smallest useful pilot.
Build — Agents, integrations, and dashboards in your environment — Composio-first when apps must talk.
Operate — Runbooks, monitoring, and a retainer if you want Zion to keep the loop healthy.
Who this is for
Security, finance, or ops leads who will not approve an agent without an audit trail
Founders in LATAM and the US who want bilingual delivery and a written commercial path
Operators who already live in Slack, email, WhatsApp, and a CRM that is only half true
Commercial path
Live prices live on /plans/. Typical sequence: Discovery $99 → Consulting $499 → Starter project or Growth retainer. We will not invent a catalog price for AI Patient Scheduling before we have seen your stack.