Automatically analyze and reply to customer feedback with AI

Reads incoming customer feedback, drafts a personalized reply, and flags anything urgent for your team.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"feedback submitted via form or email"]:::trig s0["analyze sentiment and key issue"]:::task s1["draft reply and check tone"]:::task s2["send reply and log interaction"]:::task trig --> s0 s0 --> s1 gx{"× is feedback negative or high risk"}:::gate s1 --> gx p00["alert the support team"]:::task gx -->|"high risk feedback"| p00 p10["proceed to send"]:::task gx -->|"routine feedback"| p10 jn{"○ continue to send"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"personalized reply sent and logged"/]:::out pay{{"faster consistent responses to every customer"}}:::pay s2 --> 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 onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsCRM & Sales PipelineEmail AutomationSpreadsheet & Database OpsSurvey & Feedback
Connects
OpenAIGoogle SheetsGmailHubSpot

The problem it solves

Every piece of customer feedback deserves a thoughtful reply, but reading, triaging, and responding to each one by hand is slow. Urgent complaints can sit in the queue next to routine comments until someone gets to them.

Who it fits

Customer success managers and support teams who handle a steady stream of customer feedback.

How it works

  1. New feedback comes in through a form or email
  2. AI analyzes the sentiment and identifies the key issue
  3. A personalized reply is drafted and checked for tone before sending
  4. Negative or high-risk feedback is escalated to the support team
  5. The reply is sent by email and the interaction is logged in Google Sheets
What you get

Feedback replies ready for a quick glance

Every piece of customer feedback gets read, sorted by urgency, and drafted into a personalized reply for your team.

What you get

A personalized reply sent to the customer and a logged record of the interaction.

What you need

An OpenAI API key, a Google Sheets account, a Gmail account, and optionally a HubSpot 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

Related automations

Back to the AI Playbook