Get a weekly AI-written employee retention digest by email

Automatically scores candidate data, spots retention trends, and emails hiring managers a clear weekly summary.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4)

flowchart TD trig(["weekly schedule"]):::trigtime s0["combine and score candidates"]:::task s1["check data completeness"]:::task s2["ai writes summary"]:::task s3["email digest to managers"]:::task trig --> s0 s0 --> s1 s2 --> s3 gx{"× is data complete"}:::gate s1 --> gx p00["continue to summary"]:::task gx -->|"complete"| p00 p10["stop processing"]:::task gx -->|"incomplete"| p10 p00 --> s2 p10 --> s2 out[/"weekly retention digest sent"/]:::out pay{{"managers see retention trends early"}}:::pay s3 --> out 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 stepOne path onlyResultPayoff
Build size
Advanced

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

Business functions
Email AutomationSpreadsheet & Database OpsReporting & AnalyticsHR & Recruiting
Connects
Google SheetsGmailAzure OpenAI

The problem it solves

Figuring out which traits actually predict whether a new hire stays or leaves means digging through spreadsheets full of candidate and retention data. Hiring managers rarely have time to do that analysis every week, so patterns go unnoticed until turnover becomes a real problem. Writing up the findings in a readable way takes even more time.

Who it fits

A hiring manager or HR team tracking which candidate traits correlate with staying or leaving.

How it works

  1. The system pulls candidate details and trait-level retention stats from your spreadsheets
  2. It combines both sets and scores each candidate based on trait weights
  3. It checks that the data is complete before continuing
  4. AI writes a summary highlighting top and weak traits, candidate scores, and hiring tips
  5. The finished digest is emailed to hiring managers
What you get

Retention trends spotted across your candidates

Hiring managers receive a clear weekly summary showing which candidate traits line up with staying or leaving, along with hiring tips.

What you get

A weekly, styled email digest summarizing retention trends, candidate scores, and hiring recommendations.

What you need

A Google Sheets account, a Gmail account, and an Azure OpenAI account.

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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