CRM

Weekly Outlook relationship-trend digest for the account portfolio

Each week it scores all key-account Outlook conversations, ranks accounts by sentiment trend, and delivers a Teams digest of who is warming, who is cooling, and which need…

CategoryCRM
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionRead past-week conversations from OutlookOutlook
  • ActionScore messages with Hugging FaceHugging FaceHugging Face
  • LogicAggregate per account; diff vs prior week to rank trend
  • OutputPost portfolio trend digest to TeamsMicrosoft Teams

What it does

This workflow gives leadership a single weekly read on the emotional temperature of the whole account portfolio. It scores every key-account email conversation from the past week with Hugging Face, compares each account's tone to the prior week, and ranks the book by trend direction. The output is a Teams digest that surfaces the biggest improvers, the steepest decliners, and a short list of accounts where an executive touch is recommended now.

When to use it

Use this for a Monday revenue or CS standup where leaders want portfolio-level relationship signal at a glance rather than per-account noise. It frames the week's priorities around who actually needs attention.

How it works

A weekly schedule starts the run. The flow reads the past week of conversations across monitored Outlook mailboxes for the key-account list, scores each message with Hugging Face, and aggregates per account into a weekly tone value. A logic step diffs each account against the prior week's stored value to compute trend and direction, then selects the top movers and any account crossing into cooling territory. The assembled digest, with warming, cooling, and recommended-touch sections, is posted to a Microsoft Teams channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect OutlookMail, calendar, contacts.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  3. 3
    Connect Microsoft TeamsChannels, chats, files.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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