Does the Qwary agent just suggest or does it act?

It acts. You describe the task in plain English—like 'route negative feedback to Zendesk'—and the agent executes the action across your connected apps.

How is this different from native Qwary AI features?

Native AI features are often limited to the Qwary platform. DoMyWork agents bridge the gap, executing tasks across Qwary, your CRM, your helpdesk, and your communication tools.

Is this better than using Zapier for Qwary?

Zapier requires you to build logic step-by-step. With DoMyWork, you just describe the outcome, and the agent handles the multi-step intelligence and execution across your apps.

Does the agent monitor my Qwary account 24/7?

Yes. Once you set a job on autopilot, the agent watches for new survey responses and acts on them the moment they arrive, 24/7.

Is my survey data safe with DoMyWork?

Yes. We use enterprise-grade security to ensure your data is processed safely and only for the tasks you have explicitly authorised the agent to perform.

Can the Qwary agent connect to multiple apps at once?

Yes. You can instruct the agent to read from Qwary, check data in Salesforce, and post updates to Slack in a single, multi-step instruction.

AI Agent for Qwary

Analyse, route, and act on your survey feedback automatically. DoMyWork AI agents work with Qwary and 1,500+ apps to turn customer sentiment into business growth.

Summarise last week's NPS feedback from Qwary

Find negative reviews and create tickets in Zendesk

Identify churn risks from recent survey responses

Draft personalised responses to unhappy survey participants

Extract feature requests and add to Jira

Update Salesforce records with latest customer sentiment

Agent for

Qwary

A Product by

Trusted by

42,000+ businesses worldwide

Certified

💬 Chat with agent

Turn your survey responses into actions that move the business

Summarise sentiment, identify churn risks, route feedback, and update your CRM.

3-page summary posted to Slack

Catch up on every negative survey response from last week

"Check last week's survey responses in Qwary, identify those with a low NPS score, and draft a personal follow-up email in Gmail for each. Post the list of flagged customers to Slack when done."

Send Message

Summarise recent customer churn risk signals

"Analyse the latest survey responses for churn indicators and post a summary to the Success Slack channel."

Send Message

Find customers who requested a feature

"Search Qwary responses for feature requests and list them in a Google Sheet."

Send Message

Draft replies to promoters for testimonials

"Identify promoters in Qwary and draft an email in Gmail asking for a review."

Send Message

Check for unresolved survey complaints

"Review recent survey comments and list those that haven't been addressed in Zendesk."

Send Message

Got a different task in mind? Describe it

Send Message

Extract customer quotes for website copy

"Find positive testimonials in Qwary and save them to a Notion database."

Send Message

Identify trends in brand perception

"Analyse Qwary responses from the last month and report on key sentiment trends."

Send Message

Segment customers based on survey answers

"Group Qwary respondents by their survey answers and update Mailchimp tags."

Send Message

Find common pain points in the market

"Analyse survey feedback to identify top 3 customer pain points and draft a blog outline."

Send Message

Review survey data for campaign messaging

"Summarise feedback on our new product launch and highlight key benefits mentioned."

Send Message

Got a different task in mind? Describe it

Send Message

Prioritise feature requests from feedback

"Categorise feature requests from Qwary and add them to the Product Backlog in Jira."

Send Message

Analyse survey feedback on new features

"Summarise user sentiment regarding the latest release and post to the Product Slack."

Send Message

Identify bugs reported in survey comments

"Scan Qwary responses for bug mentions and create Jira issues for each."

Send Message

Compare feedback across user segments

"Analyse Qwary data to see how feedback differs between Enterprise and Pro users."

Send Message

Draft product update emails based on feedback

"Summarise feedback on a specific feature and draft an update email in Gmail."

Send Message

Got a different task in mind? Describe it

Send Message

Consolidate survey data into a report

"Pull Qwary responses into a Google Sheet and format for the monthly report."

Send Message

Review survey response rates by channel

"Analyse Qwary data to compare response rates across different distribution channels."

Send Message

Check for survey data anomalies

"Scan Qwary responses for incomplete or suspicious data and flag for review."

Send Message

Update internal dashboards with survey KPIs

"Extract NPS and CSAT scores from Qwary and update the team dashboard."

Send Message

Audit survey distribution lists

"Compare Qwary distribution lists against our CRM to ensure all customers are included."

Send Message

Got a different task in mind? Describe it

Send Message

How Does a Qwary AI Agent Work

Connect Your Apps

Type Your Task

Agent Executes & Reports Back

See it in action

Try Qwary AI Agent

🛸 Autopilot

Act on customer feedback the moment it lands — with agents on autopilot

The agents work across your apps 24/7.

They catch new survey responses, analyse the sentiment, and trigger the right follow-up actions instantly.

Setting up an autopilot is too easy

New survey response is received in Qwary

Describe...

1. Escalate high-risk feedback before it becomes a churn event

WhenNew survey response is received in Qwary

Then

Read the response, check if the score is below 4, and if so, post an urgent alert to Slack with the customer name and comment.

Put on Autopilot

2. Log survey feedback directly into your CRM

WhenNew survey response is received in Qwary

Then

Extract customer details and feedback, then update the corresponding contact in Salesforce.

Put on Autopilot

3. Send a thank you note for positive feedback

WhenNew survey response is received in Qwary

Then

If the score is 9 or 10, draft a thank you email in Gmail.

Put on Autopilot

4. Create support tickets for reported issues

WhenNew survey response is received in Qwary

Then

If the response mentions a technical issue, create a ticket in Zendesk.

Put on Autopilot

5. Weekly summary of customer sentiment

WhenEvery Monday at 09:00 AM

Then

Summarise all Qwary responses from the previous week and email to the team.

Put on Autopilot

1. Flag potential brand advocates

WhenNew survey response is received in Qwary

Then

If the NPS is 10, add the contact to the 'Advocates' list in HubSpot.

Put on Autopilot

2. Monitor sentiment on new campaigns

WhenNew survey response is received in Qwary

Then

Check if the feedback mentions the new campaign and log the sentiment in a sheet.

Put on Autopilot

3. Route feedback to the content team

WhenNew survey response is received in Qwary

Then

If feedback contains a great quote, forward it to the content team via Slack.

Put on Autopilot

4. Daily sentiment digest

WhenEvery day at 05:00 PM

Then

Summarise all Qwary feedback received today and post to Slack.

Put on Autopilot

5. Update marketing personas with feedback

WhenNew survey response is received in Qwary

Then

Analyse the response for persona-related insights and update the persona document.

Put on Autopilot

1. Capture feature requests in real-time

WhenNew survey response is received in Qwary

Then

If the response contains a feature request, create a Jira issue.

Put on Autopilot

2. Flag recurring usability issues

WhenNew survey response is received in Qwary

Then

Check if the feedback mentions a known usability issue and increment a counter in a sheet.

Put on Autopilot

3. Alert product managers to critical feedback

WhenNew survey response is received in Qwary

Then

If the feedback is critical of a core feature, ping the PM in Slack.

Put on Autopilot

4. Monthly product feedback report

WhenEvery first of the month at 10:00 AM

Then

Compile all Qwary feedback from the month and email a summary to the product team.

Put on Autopilot

5. Categorise feedback by product area

WhenNew survey response is received in Qwary

Then

Identify which product area the feedback relates to and tag the record in a sheet.

Put on Autopilot

1. Ensure survey data quality

WhenNew survey response is received in Qwary

Then

Check for missing fields in the response and flag in a sheet if incomplete.

Put on Autopilot

2. Sync survey KPIs to internal dashboard

WhenNew survey response is received in Qwary

Then

Extract the NPS score and update the Google Sheet dashboard.

Put on Autopilot

3. Alert on low response rates

WhenEvery Friday at 04:00 PM

Then

Check if total responses are below target and alert the ops team in Slack.

Put on Autopilot

4. Archive old survey data

WhenEvery month at 01:00 AM

Then

Move Qwary responses older than 6 months to an archive sheet.

Put on Autopilot

5. Notify team of survey completions

WhenNew survey response is received in Qwary

Then

Post a count of daily responses to the team Slack channel.

Put on Autopilot

Build your own autopilot

Set the trigger. Describe the action. Done.

1. Select when agent is executed

App

Qwary

When

Select

2. Describe the task to agent

Put on Autopilot

Playbooks

Turn any repetitive process into a
click-to-complete workflow.

Collect inputs through forms, run AI agents on the spot — all on one page.

Churn Risk Assessment Playbook

FormCollect data with form

1. Enter Customer Feedback

Enter Customer Feedback

Fill fields below 👇

Customer Name *

Email *

Feedback *

AI AgentExecute agent from playbook

2. Assess Churn Risk

Agent

Analyse {{Feedback}} for churn indicators. Assign a risk score (1-10) and provide a one-line reason.

Complete in a clickSend data to 1500+ apps

3. Update Salesforce

Update RecordinSalesforce

4. Alert Success Team

Send MessageinSlack

Churn Risk Assessment Playbook

Analyse feedback and flag churn risks in one click.

Clone This Playbook

Feedback Follow-up Playbook

Draft personalised replies to survey feedback.

Clone This Playbook

Testimonial Capture Playbook

Convert positive feedback into testimonials.

Clone This Playbook

Escalation Request Playbook

Escalate urgent issues to management.

Clone This Playbook

Customer Sentiment Sync Playbook

Sync sentiment to external systems.

Clone This Playbook

Ad Copy Refinement Playbook

Use feedback to improve ad copy.

Clone This Playbook

Persona Update Playbook

Update personas with new insights.

Clone This Playbook

Social Proof Playbook

Use feedback for social media.

Clone This Playbook

Email Segment Playbook

Segment users by feedback.

Clone This Playbook

Content Idea Playbook

Generate content from feedback.

Clone This Playbook

Feature Request Playbook

Log feature requests to Jira.

Clone This Playbook

Bug Report Playbook

Log bug reports to Jira.

Clone This Playbook

Release Feedback Playbook

Analyse release feedback.

Clone This Playbook

User Segment Playbook

Segment users by feature usage.

Clone This Playbook

Feedback Trend Playbook

Identify feedback trends.

Clone This Playbook

Survey Data Clean Playbook

Clean survey data.

Clone This Playbook

Response Rate Playbook

Calculate response rates.

Clone This Playbook

Data Audit Playbook

Audit survey data.

Clone This Playbook

KPI Update Playbook

Update KPIs.

Clone This Playbook

Archive Playbook

Archive old data.

Clone This Playbook

1500+ App Integrations

Connect Qwary + Your Favourite Apps With AI Agents

Google Sheets

Webhook / API Integration

SafetyCulture (iAuditor)

Swipe Pages

Manychat

Freshworks CRM (Freshsales Suite)

TikTok Lead Generation

Salesforce Marketing Cloud

RSS

Builderall Mailingboss

Facebook Custom Audiences

FastField Mobile Forms

Thrive Themes (Thrive Automator)

Instagram for business

Microsoft Dynamics 365 CRM

Google Search Console

QuickEmailVerification

CalendarHero (Zoom.ai)

CompanyCam (In Review)

Raisely

Elastic Email

LeadDyno

Adobe Commerce (Magento)

Microsoft Dynamics 365 Business Central

Alchemer (SurveyGizmo)

Katana Cloud Manufacturing

Brilliant Directories

Wix

You Need A Budget (YNAB)

Accredible Credential

Cisco Webex (Meetings)

Box

GREEN-API (In Review)

BrowserAct

Facebook Ads Management And Insights

Agolix (Assessment Generator)

The Conversion Engine

WhatsApp V3 by OnlineLiveSupport

PDF Export by PDFCrowd

Lob

Forminit (Getform.io)

Vooplayer - ( Spotlightr )

Instabot: Chatbot Platform

The Course Creator's Kit

Really Simple Systems CRM

SMS Online Live Support

SolarWinds Service Desk

Eko

Manifestly Checklists

Tango Card (Under Review)

Unsplash (Under Review)

Sempico Solutions SMS

WhatsApp Blast, APIs & CRM by WAToolsonline

Planyo Online Booking

PagePixels Screenshots

NioLeads

Xoal

PostGrid Print and Mail

Crypto Valley Journal

Projekly – Project Management, CRM, HR & Invo

Google Photos(Under Review)

8x8

Email List Validation

BPC

LinkupAPI for LinkedIn

Moz

WhatsApp Notifications and Alerts by SyncMate

E2B

ReachStream Email Verifier

Automate any manual work with AI Agents

One-off tasks in one message

Chat

When

New survey response is received in Qwary

Then

Recurring Work on autopilot

Autopilot

Feedback Handoff

Enter survey ID

Analyse sentiment

Route to Slack

Repetitive Processes in 1 click

Playbooks

Why DoMyWork

Most Tools Call Themselves Agents.
Few Actually Are.

Capability	DoMyWork AI agent + execution	Claude Code Agentic dev CLI	Anthropic Cowork Desktop file agent	Zapier / Make / n8n Rule-based automation	ChatGPT + Copilot General AI assistants
	Getting Started
Instant To Start, No Setup			App Install Needed	Flows Must Be Built First
No Pre-Mapping Needed				Every Field Must Be Mapped
No Technical Skills Needed		Terminal, Scripts, Infra		Gets Complex Fast
	Reach & Execution
Built-In App Connections	1500+ Apps	Manual Config	Via Connectors Only	Each Needs Its Own Flow	Own Ecosystem Only
Web Research & Scraping	Built-In, No Extra Setup				Not Automation-Grade
	Intelligence
Reasons Through Edge Cases					Reasons, Rarely Acts
Scheduled Tasks					Limited Support
Single Prompt, Multi-App				Each App Pair Needs Own Flow	Conversation-Scoped Only

Agent for

Qwary

A Product by

Trusted by

42,000+ businesses worldwide

Certified

FAQ

Questions
About Qwary AI Agent

An AI agent for Qwary is a digital worker that connects to your survey data and other apps to read, analyse, and act on feedback automatically without you needing to build complex rules.

Give It a Task.
Watch It Get Done.

Type in your task. The agent accesses your apps, reasons through the data, executes across your stack, and comes back with results.

👇 Tell the AI agent what to do

Run My Agent Free

AI Agent for Qwary

Turn your survey responses into actions that move the business

Catch up on every negative survey response from last week

Summarise recent customer churn risk signals

Find customers who requested a feature

Draft replies to promoters for testimonials

Check for unresolved survey complaints

Got a different task in mind? Describe it

Extract customer quotes for website copy

Identify trends in brand perception

Segment customers based on survey answers

Find common pain points in the market

Review survey data for campaign messaging

Got a different task in mind? Describe it

Prioritise feature requests from feedback

Analyse survey feedback on new features

Identify bugs reported in survey comments

Compare feedback across user segments

Draft product update emails based on feedback

Got a different task in mind? Describe it

Consolidate survey data into a report

Review survey response rates by channel

Check for survey data anomalies

Update internal dashboards with survey KPIs

Audit survey distribution lists

Got a different task in mind? Describe it

How Does a Qwary AI Agent Work

Act on customer feedback the moment it lands — with agents on autopilot

1. Escalate high-risk feedback before it becomes a churn event

2. Log survey feedback directly into your CRM

3. Send a thank you note for positive feedback

4. Create support tickets for reported issues

5. Weekly summary of customer sentiment

1. Flag potential brand advocates

2. Monitor sentiment on new campaigns

3. Route feedback to the content team

4. Daily sentiment digest

5. Update marketing personas with feedback

1. Capture feature requests in real-time

2. Flag recurring usability issues

3. Alert product managers to critical feedback

4. Monthly product feedback report

5. Categorise feedback by product area

1. Ensure survey data quality

2. Sync survey KPIs to internal dashboard

3. Alert on low response rates

4. Archive old survey data

5. Notify team of survey completions

Playbooks

Turn any repetitive process into a click-to-complete workflow.

What are playbooks?

Churn Risk Assessment Playbook

Feedback Follow-up Playbook

Testimonial Capture Playbook

Escalation Request Playbook

Customer Sentiment Sync Playbook

Ad Copy Refinement Playbook

Persona Update Playbook

Social Proof Playbook

Email Segment Playbook

Content Idea Playbook

Feature Request Playbook

Bug Report Playbook

Release Feedback Playbook

User Segment Playbook

Feedback Trend Playbook

Survey Data Clean Playbook

Response Rate Playbook

Data Audit Playbook

KPI Update Playbook

Archive Playbook

Connect Qwary + Your Favourite Apps With AI Agents

Automate any manual work with AI Agents

One-off tasks in one message

Recurring Work on autopilot

Repetitive Processes in 1 click

Most Tools Call Themselves Agents. Few Actually Are.

Questions About Qwary AI Agent

Turn any repetitive process into a
click-to-complete workflow.

Most Tools Call Themselves Agents.
Few Actually Are.

Questions
About Qwary AI Agent