Most “AI programs” stall on messy data and missing owners. Zion builds the pipelines, retrieval, and reporting that make models useful to operators — not just a slide in a board deck. This page covers Data Data Usage Quality Monitor as Zion actually delivers it: scoped work after Discovery, then a pilot or retainer.
What we deliver
Capability
Source-to-warehouse contracts and quality checks
RAG / knowledge systems grounded in your documents and tickets
Forecasting and anomaly detection tied to a business KPI
MLOps: evaluation, drift, and rollback — not a notebook in Slack
Outcomes we design for
One trusted number for the decision you actually make weekly
Retrieval that cites sources instead of inventing policy
A backlog of automations ranked by impact × feasibility
Composio is our preferred action layer when an agent must use SaaS apps. We will say so if a simpler n8n or API job is enough.
Zion has delivered automation for fintech, healthcare, logistics, SaaS, and professional services — the pattern transfers; the integrations do not.
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
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
IT directors and MSPs who need a measurable operating loop, not another unused license
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 Data Data Usage Quality Monitor before we have seen your stack.
Scope Data Data Usage Quality Monitor the honest way.