Monitor data quality and route alerts by severity automatically

Continuously checks your data for problems and sends the right alert to the right channel based on how serious it is.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4)

flowchart TD trig(["scheduled data quality check"]):::trigtime s0["pull data from sources"]:::svc s1["combine into one view"]:::task s2["ai checks for anomalies"]:::task s3["ai scores issue severity"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 gx{"× how severe is the issue"}:::gate s3 --> gx p00["send email and slack alert"]:::task gx -->|"critical"| p00 p10["add to standard report"]:::task gx -->|"routine"| p10 p00 --> out p10 --> out out[/"severity sorted alert delivered"/]:::out pay{{"catches data problems before damage"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceOne path onlyResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsEmail AutomationMessaging & NotificationsReporting & Analytics
Connects
OpenAISlackEmail

The problem it solves

You rely on dashboards and metrics to run the business, but nobody has time to check them constantly for errors or gaps. By the time a data problem is noticed, it may have already thrown off a report or a decision.

Who it fits

Operations, IT, or business intelligence teams who depend on clean data from multiple systems.

How it works

  1. Runs on a schedule to pull data from your metrics and dashboard sources
  2. Combines the data from all sources into one view
  3. AI checks for anomalies and validates the data
  4. A second AI agent decides how serious each issue is and how to respond
  5. Critical issues trigger an email and Slack alert, while routine findings go into a standard report
What you get

Data problems caught before they spread

Your team gets alerted the moment a data quality problem shows up, sorted by how serious it is.

What you get

A severity-sorted alert sent by email or Slack, plus an audit log of the data checks.

What you need

An OpenAI account and API access to your metrics and business intelligence platforms.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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