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Data, analytics & AI operations

AI First Application Performance Monitoring and Observability for IT in

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 AI First Application Performance Monitoring and Observability for IT in 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

If a previous sitemap advertised this path without a file, this page is the real closer: scope first, then build.

This URL describes a data, analytics & ai operations capability. It is not a self-serve checkout SKU.

How the engagement runs

  1. Discovery ($99) — We map the workflow, systems, and the KPI this page is supposed to move. No packaged SKU is assumed.
  2. Design — Architecture, data boundaries, human approvals, and the smallest useful pilot.
  3. Build — Agents, integrations, and dashboards in your environment — Composio-first when apps must talk.
  4. Operate — Runbooks, monitoring, and a retainer if you want Zion to keep the loop healthy.

Who this is for

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 First Application Performance Monitoring and Observability for IT in before we have seen your stack.

Scope AI First Application Performance Monitoring and Observability for IT in the honest way.

Book $99 Discovery See plans Email Zion

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