AI Agent — Use Case #53

Automate Customer Feedback Collection at Scale

Deploy an AI agent that captures, classifies, and routes customer feedback across every touchpoint — post-purchase, support close, NPS cycles — all in under 10 minutes of setup, no code required.

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Trigger
Post-purchase / Ticket Close / NPS Schedule
Architect Agent
Sends surveys, collects & analyzes responses, classifies sentiment
Live
Action
CRM updated, Slack alert, ticket escalation, insight dashboard
Salesforce Salesforce
Slack Slack
Typeform Typeform
Zendesk Zendesk

The Feedback Gap Is Costing You

91%
of unhappy customers leave without giving feedback
72h
Average delay before teams act on critical feedback
$62B
Lost annually due to poor customer experience in the US alone
5×
ROI on companies that systematically act on feedback

Why Automating Feedback Collection Matters

Manual feedback workflows — scattered surveys, forgotten follow-ups, slow CRM updates — mean critical signals fall through the cracks. An always-on AI agent closes the loop automatically, turning every customer interaction into an actionable data point before your competitors react.

10×
Faster feedback loop closure
24/7
Always-on feedback coverage
70%
Reduction in manual ops cost

Works With Your Existing Stack

Architect connects to the tools your CX, CS, and product teams already use — no rip-and-replace required.

Salesforce Salesforce
HubSpot HubSpot
Zendesk Zendesk
Typeform Typeform
Slack Slack
Intercom Intercom
Gmail Gmail
Jira Jira
SurveyMonkey SurveyMonkey

Platform Capabilities

Architect provides every building block needed to deploy a production-grade feedback collection agent — from trigger logic to multi-channel delivery to intelligent analysis.

Multi-Channel Survey Dispatch

Trigger and send personalized surveys via email, SMS, Slack, or in-app prompts based on behavioral or time-based events — all configured in a single visual flow.

AI Sentiment Classification

The agent automatically scores responses as positive, neutral, or negative, extracts recurring themes, and surfaces product or service gaps without manual review.

Critical Alert Escalation

When detractors or urgent issues are detected, the agent instantly routes alerts to Slack, creates Zendesk tickets, or notifies account managers in Salesforce — closing the loop in minutes, not days.

CRM Auto-Enrichment

Feedback scores, sentiment labels, and verbatim summaries are written back to Salesforce, HubSpot, or Intercom contact records automatically — eliminating manual data entry.

Real-Time Insight Dashboards

Aggregate NPS, CSAT, and CES scores alongside sentiment trends in a live dashboard — no manual exports, no stale reports. Share snapshots to Slack with a single command.

Compliance-Ready Data Handling

Architect enforces role-based access, PII masking, and audit logs out of the box — ensuring feedback pipelines are GDPR and SOC 2 aligned from day one.

How It Works

Four steps from trigger to insight — fully automated, no developer required.

Step 01

Event Trigger

Agent activates on post-purchase, ticket resolution, NPS interval, or custom webhook — across any channel.

Step 02

Personalized Survey Sent

The agent selects the right survey template, personalizes with CRM context, and dispatches via the customer's preferred channel.

Step 03

AI Analyzes Response

Incoming responses are scored for sentiment, theme-clustered, and flagged if critical — all in real time, without human review.

Step 04

Action & Loop Closed

CRM enriched, Slack alert dispatched, Jira ticket created (if critical), and insights posted to dashboard — automatically.

Before vs. After Architect

Without Architect
  • Surveys sent manually days after the triggering event, losing response window
  • Analyst hours spent exporting, cleaning, and tagging feedback data
  • Customer complaints discovered in weekly reports, not in real time
  • Blind spots in feedback: non-respondents never followed up with
  • CRM records stale — no feedback data linked to customer profiles
With Architect
  • Surveys dispatched within minutes of the triggering event, automatically
  • AI automatically classifies, themes, and scores every response — zero analyst time
  • Detractors escalated via Slack or Zendesk ticket within seconds of submission
  • Non-respondents auto-followed-up on a configurable cadence
  • CRM enriched in real time — NPS, CSAT, and sentiment always current

Sample Agent Prompt

This is a realistic system prompt you would configure inside Architect to power your feedback collection agent — ready to deploy in under 10 minutes.

architect-agent — customer-feedback-collection.prompt
Agent Active — Feedback Collection Pipeline 
You are a customer feedback collection agent for [Company Name].

TRIGGER: Activate when a support ticket is closed, a purchase is confirmed,
or an NPS survey window opens for a customer segment.

ACTIONS:
1. Select the appropriate survey template (NPS / CSAT / CES) based on trigger type.
2. Personalize the survey with the customer's name, product, and interaction context from CRM.
3. Send via the customer's preferred channel: email (Gmail), in-app (Intercom), or Slack.
4. Wait up to 48 hours for a response. If no response, send one follow-up reminder.
5. On response: classify sentiment (positive / neutral / negative), extract key themes.
6. If score < 6 or sentiment = negative: create a Zendesk ticket and alert the CSM in Slack.
7. Write NPS score, CSAT score, sentiment label, and verbatim summary back to Salesforce.
8. Aggregate daily summary of scores and themes to the #cx-insights Slack channel.
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Frequently Asked Questions

How does Architect automate customer feedback collection?
Architect lets you configure an AI agent that triggers on events like post-purchase, support ticket close, or NPS schedule. The agent sends personalized surveys, collects responses across email, Slack, or web, and routes structured summaries to your CRM or analytics tools automatically.
What integrations does the feedback agent support?
The agent integrates with Salesforce, HubSpot, Zendesk, Intercom, Typeform, SurveyMonkey, Slack, Gmail, Jira, and more — using pre-built connectors with no custom code required.
Can the agent analyze feedback sentiment automatically?
Yes. The AI agent classifies sentiment (positive, neutral, negative), extracts themes, and flags critical feedback for immediate human review — all within the same automated pipeline, in real time.
Is coding required to set up the feedback agent?
No code is required. Architect provides a visual builder and pre-built templates so teams can deploy a fully functional feedback collection agent in under 10 minutes.
How does this compare to traditional survey tools like Typeform or SurveyMonkey?
Traditional survey tools require manual scheduling, exporting, and analysis. Architect's AI agent closes the loop automatically — triggering collection, analyzing responses, escalating alerts, and updating your CRM without any human intervention between steps.

Start Collecting Smarter Feedback Today

Deploy your AI-powered customer feedback agent in under 10 minutes. No code. No complex setup. Just continuous, automated customer insight.

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No credit card required. Production-ready agents in <10 minutes.