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Staff Events AI Assistant

Arranges staff events and answers routine questions on WeChat, passing sensitive topics to a person

A WeChat service account and mini-program for a large employer's staff and former-staff community. It verifies members, sends event notices, lets AI answer event and routine questions, and passes everything sensitive to a human inbox.

WeChatMember verificationEvent noticesRoutine Q&AHuman inbox
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At a glance

What it does01

  • Verifies members against the official roster, using their employee number plus corroborating details, before granting access
  • Sends event notifications to the right people
  • Lets AI answer routine questions, such as event times, how to register and general information
  • Escalates anything about employment records automatically: proof of employment, payslips, provident fund, benefits and disputes
  • Gives staff an admin console with a human inbox

Example conversation02

SE
Staff Events AI Assistant
online
ClientWhat time does the staff dinner start, and how do I sign up?
Staff Events AI AssistantThe staff dinner starts at 7pm. You can register on the Events page of the mini-program.
ClientThanks. Can I also get a proof of employment letter?
Staff Events AI AssistantThat's an employment-record request, so I've passed it to our staff team. A colleague will reply to you here directly.

Illustrative example

Human vs agent03

Same taskHandling sign-ups and questions for one event

By hand

≈ 5 hstaff time

  • Check each person against the member roster
  • Answer the same time and sign-up questions repeatedly
  • Spot sensitive employment requests and handle them
With the agent

≈ 45 minstaff time

  • Members are verified against the roster automatically
  • AI answers routine event questions
  • Staff handle only sensitive cases in the inbox

Employment-record questions never reach the AI

By hand≈ 5 h
With the agent≈ 45 min

Saves ≈ 85% of staff time

Estimates for one typical task, based on how the workflow runs. Actual results vary.

Ad-hoc AI vs our agent workflow04

The same task, done by prompting a general chatbot by hand versus through the agent’s set workflow.

Prompting a chatbot by hand

Tokens per task

≈ 90,000

Right first time

≈ 65%
  • Event details pasted in again for every reply
  • No check that the person asking is a member
  • Sensitive requests depend on someone spotting them
Our agent workflow

Tokens per task

≈ 30,00067% fewer

Right first time

≈ 93%
  • A hard-coded rule sends employment questions to a person
  • Only verified members get answers
  • Unsure questions go to the human inbox

No AI is 100% reliable. When a run fails, the agent retries automatically or hands it to a person.

Estimates for one typical task, based on how the workflow runs. Actual results vary.

How it works05

  1. Step 1

    A member sends a message on WeChat

  2. Step 2

    Their identity is checked against the official roster

  3. Step 3

    A router sorts the question: routine, employment record or unsure

  4. Step 4

    AI answers routine questions only

  5. Step 5

    Employment-record and unsure questions go to the human inbox

Why it's trustworthy06

  • A hard-coded rule, not an instruction to the AI: employment-record questions never reach the AI model
  • Only verified members get access
  • Anything the AI is unsure about goes to a person

Good for07

  • Large employers running events for staff or former staff
  • Membership organisations that verify members before sharing information
  • HR teams that want routine questions handled while sensitive ones stay with people

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