Does the SQL Server agent actually execute tasks?

Yes. Unlike a copilot that only suggests queries, DoMyWork executes the tasks you describe, from running maintenance scripts to updating records in connected business apps.

How is this different from native SQL Server AI tools?

Native tools are often limited to query suggestions. DoMyWork provides cross-app execution, meaning it can take data from SQL Server and immediately update your CRM, Slack, or project board.

Is this an alternative to Zapier for SQL Server?

Yes. Zapier requires building complex, step-by-step logic. With DoMyWork, you simply describe the work in plain English and the agent figures out the steps to execute it across your apps.

Can the agent monitor my database 24/7?

Yes. You can set up autopilot jobs that watch for specific events, such as errors or performance spikes, and trigger automated responses instantly.

How secure is my SQL Server data?

DoMyWork uses secure, encrypted connections to your database. You maintain full control over the permissions and access levels granted to the agent.

Can the agent connect SQL Server to other apps?

Absolutely. It can pull data from SQL Server and push it into over 1,500 other apps, including Gmail, Slack, HubSpot, and Google Sheets, based on your instructions.

AI Agent for SQL Server

Query, clean, and report on your database records automatically. DoMyWork AI agents work with SQL Server and 1,500+ apps to turn raw data into decisions.

Find all users created today and add them to Mailchimp

Summarise the top 10 sales records and email the team

Check for duplicate customer entries and flag them

Generate a weekly revenue report and save to Drive

Identify tables with high growth and post to Slack

Backup the current production schema to S3

Agent for

SQL Server

A Product by

Trusted by

42,000+ businesses worldwide

Certified

💬 Chat with agent

Turn your database data into actions that move business

Query tables, clean records, generate reports, sync data, and notify your team.

24 users added to Mailchimp

Identify and fix index fragmentation across your tables

"Run a check on all tables in my production database, identify any with fragmentation over 40%, and draft a maintenance plan in Google Docs. Post the list of affected tables to Slack."

Send Message

Review failed job logs from the last 24 hours

"Check the SQL Server job history for the last day, extract all failed entries, and summarise them in an email to the IT lead."

Send Message

Find unused indexes taking up space

"Query the metadata to find indexes that haven't been used in 30 days and list them in a spreadsheet for review."

Send Message

Check database growth trends for capacity planning

"Analyse the growth of the main data files over the last month and create a forecast chart in Google Sheets."

Send Message

Verify backup completion status for all databases

"Check the last backup time for all databases and report any that haven't been backed up in over 24 hours."

Send Message

Got a different task in mind? Describe it

Send Message

Pull the latest sales figures for the monthly report

"Query the sales table for this month's transactions, group by region, and build a summary table in Google Sheets."

Send Message

Find missing customer contact details in the CRM

"Cross-reference the customer table with the CRM records and list all entries missing an email address."

Send Message

Analyse customer churn patterns from transaction data

"Look at the last 6 months of transaction data and identify customers who haven't made a purchase in 60 days."

Send Message

Generate a list of top-performing products

"Query the product sales table for the last quarter and identify the top 5 products by revenue."

Send Message

Create a daily summary of new registrations

"Fetch all new registrations from the database and post a summary to the marketing Slack channel."

Send Message

Got a different task in mind? Describe it

Send Message

Debug data integrity issues in the staging environment

"Query the staging database for orders missing a customer ID and list the affected order numbers."

Send Message

Sync environment configuration records

"Fetch the configuration settings from the database and update the environment variables in my project tracker."

Send Message

Find slow-running queries in the application logs

"Analyse the execution time of recent queries and list the top 10 slowest ones."

Send Message

Extract sample data for local testing

"Pull 50 random records from the user table and save them as a JSON file for the team."

Send Message

Check for orphan records after a migration

"Run a script to find records in the child table that no longer have a parent and list them."

Send Message

Got a different task in mind? Describe it

Send Message

Report on server uptime for the weekly meeting

"Extract the uptime statistics from the server logs and format them into a slide for the team meeting."

Send Message

Check for recent security policy changes

"Review the audit logs for any changes to user permissions in the last week and notify the security team."

Send Message

Audit user access levels across databases

"List all users with administrative access and compare them against the approved access list."

Send Message

Monitor disk space usage on the server

"Check the free space on all drives and alert me if any are below 10% capacity."

Send Message

Summarise support tickets related to database issues

"Fetch all tickets tagged with 'database' from the helpdesk and provide a summary of the most common issues."

Send Message

Got a different task in mind? Describe it

Send Message

How Does a SQL Server AI Agent Work

Connect Your Apps

Type Your Task

Agent Executes & Reports Back

See it in action

Try SQL Server AI Agent

🛸 Autopilot

Act on database events the moment they occur — with agents on autopilot

The agents work across your apps 24/7.

They catch new records, flag anomalies, and trigger workflows before you even open the console.

Setting up an autopilot is too easy

Every Monday at 09:00 AM

Describe...

1. Flag high-risk database errors instantly

WhenNew error is logged

Then

Read the error log, check if it is a critical system error, and if so, post an alert to Slack with the error details and a link to the documentation.

Put on Autopilot

2. Backup critical data every night

WhenEvery day at 02:00 AM

Then

Run the backup script for the main production database and verify the file size before uploading to S3.

Put on Autopilot

3. Monitor index health for performance

WhenEvery Sunday at 08:00 AM

Then

Check index fragmentation levels and rebuild any index over 50%.

Put on Autopilot

4. Watch for unauthorised schema changes

WhenSchema is modified

Then

Capture the details of the change, identify the user who made it, and email the IT manager.

Put on Autopilot

5. Report on storage capacity daily

WhenEvery day at 09:00 AM

Then

Check available disk space and post a summary report to the infrastructure Slack channel.

Put on Autopilot

1. Route new leads to the CRM automatically

WhenNew lead is added

Then

Enrich the lead data with public company info, score it against our ICP, and push it to HubSpot if it qualifies.

Put on Autopilot

2. Send daily sales summaries to the team

WhenEvery day at 05:00 PM

Then

Calculate total daily revenue and email a summary report to the sales leadership.

Put on Autopilot

3. Detect anomalies in transaction patterns

WhenNew transaction is recorded

Then

Compare the transaction value against the user's historical average and flag if it exceeds 3x the norm.

Put on Autopilot

4. Sync product inventory levels

WhenInventory is updated

Then

Check if the stock level is below the reorder point and create a task in Asana for the procurement team.

Put on Autopilot

5. Notify marketing of new customer segments

WhenNew customer is added

Then

Identify the customer's industry segment and post a welcome message to the relevant Slack channel.

Put on Autopilot

1. Track application bugs from database logs

WhenNew log entry is created

Then

Parse the log for stack traces, match them against known issues in Jira, and update the ticket status if a match is found.

Put on Autopilot

2. Validate new user data inputs

WhenNew user is created

Then

Check the user's email domain against a blacklist and flag the account if it looks suspicious.

Put on Autopilot

3. Update API keys in connected services

WhenConfiguration is updated

Then

Detect the change in the database and push the new key to the relevant API service.

Put on Autopilot

4. Log deployment events for the team

WhenNew record is added to deployment table

Then

Post a message to the engineering Slack channel with the version number and deployment timestamp.

Put on Autopilot

5. Clean up temporary test records

WhenEvery Friday at 06:00 PM

Then

Delete all records in the 'test_data' table older than 7 days.

Put on Autopilot

1. Alert on server resource spikes

WhenPerformance metric is exceeded

Then

Check the CPU and memory usage, identify the top query, and alert the on-call engineer via PagerDuty.

Put on Autopilot

2. Review new user permission requests

WhenNew permission is requested

Then

Extract the user role and requested access, check against policy, and post an approval request to the manager's Slack.

Put on Autopilot

3. Log all database access attempts

WhenUser logs in

Then

Record the login event in a central security sheet for audit purposes.

Put on Autopilot

4. Monitor for database downtime

WhenDatabase is unreachable

Then

Attempt to reconnect, log the duration of the outage, and notify the IT team via email.

Put on Autopilot

5. Summarise weekly audit findings

WhenEvery Monday at 09:00 AM

Then

Compile all audit logs from the previous week and email a summary to the compliance officer.

Put on Autopilot

Build your own autopilot

Set the trigger. Describe the action. Done.

1. Select when agent is executed

App

SQL Server

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.

Index Maintenance Playbook

FormCollect data with form

1. Enter table name

Enter table name

Fill fields below 👇

Table Name *

AI AgentExecute agent from playbook

2. Analyse fragmentation

Agent

Check fragmentation for {{Table Name}} and decide if rebuild is needed.

Complete in a clickSend data to 1500+ apps

3. Rebuild index

Run QueryinSQL Server

4. Notify team

Send MessageinSlack

Index Maintenance Playbook

Run to identify and rebuild fragmented indexes.

Clone This Playbook

Database Backup Playbook

Initiate a manual backup and verify storage.

Clone This Playbook

User Access Audit Playbook

Review permissions for a specific user.

Clone This Playbook

Slow Query Investigation Playbook

Identify root cause of slow queries.

Clone This Playbook

Data Cleanup Playbook

Remove stale records from a table.

Clone This Playbook

Monthly Revenue Report Playbook

Generate and email revenue report.

Clone This Playbook

Customer Segmentation Playbook

Segment customers based on activity.

Clone This Playbook

Inventory Alert Playbook

Check stock levels and alert procurement.

Clone This Playbook

Churn Analysis Playbook

Identify churn risk customers.

Clone This Playbook

Data Quality Check Playbook

Identify missing data in tables.

Clone This Playbook

Schema Sync Playbook

Sync schema changes across environments.

Clone This Playbook

Log Analysis Playbook

Analyse logs for specific errors.

Clone This Playbook

Data Migration Playbook

Migrate data between tables.

Clone This Playbook

API Key Update Playbook

Update API keys in the database.

Clone This Playbook

Performance Baseline Playbook

Set a performance baseline.

Clone This Playbook

Server Audit Playbook

Audit server access logs.

Clone This Playbook

Resource Capacity Playbook

Check resource usage and forecast.

Clone This Playbook

Security Compliance Playbook

Check compliance status.

Clone This Playbook

Incident Response Playbook

Log incident details.

Clone This Playbook

System Health Playbook

Check overall system health.

Clone This Playbook

1500+ App Integrations

Connect SQL Server + Your Favourite Apps With AI Agents

Google Sheets

Webhook / API Integration

Freshworks CRM (Freshsales Suite)

TikTok Lead Generation

SafetyCulture (iAuditor)

Clientjoy

Salesforce Marketing Cloud

RSS

Builderall Mailingboss

Facebook Custom Audiences

Wix

FastField Mobile Forms

Thrive Themes (Thrive Automator)

Instagram for business

Microsoft Dynamics 365 CRM

QuickEmailVerification

Adobe Commerce (Magento)

Google Search Console

Ora

CompanyCam (In Review)

Quentn

Vonage SMS API

Katana Cloud Manufacturing

CalendarHero (Zoom.ai)

Microsoft Dynamics 365 Business Central

Vyper

GrowSurf

Vectera

Alchemer (SurveyGizmo)

Brilliant Directories

Accredible Credential

Box

You Need A Budget (YNAB)

Cisco Webex (Meetings)

GREEN-API (In Review)

Agolix (Assessment Generator)

The Conversion Engine

WhatsApp V3 by OnlineLiveSupport

LinkupAPI for LinkedIn

Autobound

SignWell

PDF Export by PDFCrowd

PropertyRadar

Clio Grow

Cloudflare R2

Facebook Ads Management And Insights

Lob

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

Moz

WhatsApp Notifications and Alerts by SyncMate

Automate any manual work with AI Agents

One-off tasks in one message

Chat

When

Every Monday at 09:00 AM

Then

Recurring Work on autopilot

Autopilot

Database Health Check

Enter table name

Run health query

Alert on 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

SQL Server

A Product by

Trusted by

42,000+ businesses worldwide

Certified

FAQ

Questions
About SQL Server AI Agent

It is an autonomous agent that connects to your SQL Server database to execute queries, perform maintenance, and sync data across 1,500+ apps without manual intervention.

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 SQL Server

Turn your database data into actions that move business

Identify and fix index fragmentation across your tables

Review failed job logs from the last 24 hours

Find unused indexes taking up space

Check database growth trends for capacity planning

Verify backup completion status for all databases

Got a different task in mind? Describe it

Pull the latest sales figures for the monthly report

Find missing customer contact details in the CRM

Analyse customer churn patterns from transaction data

Generate a list of top-performing products

Create a daily summary of new registrations

Got a different task in mind? Describe it

Debug data integrity issues in the staging environment

Sync environment configuration records

Find slow-running queries in the application logs

Extract sample data for local testing

Check for orphan records after a migration

Got a different task in mind? Describe it

Report on server uptime for the weekly meeting

Check for recent security policy changes

Audit user access levels across databases

Monitor disk space usage on the server

Summarise support tickets related to database issues

Got a different task in mind? Describe it

How Does a SQL Server AI Agent Work

Act on database events the moment they occur — with agents on autopilot

1. Flag high-risk database errors instantly

2. Backup critical data every night

3. Monitor index health for performance

4. Watch for unauthorised schema changes

5. Report on storage capacity daily

1. Route new leads to the CRM automatically

2. Send daily sales summaries to the team

3. Detect anomalies in transaction patterns

4. Sync product inventory levels

5. Notify marketing of new customer segments

1. Track application bugs from database logs

2. Validate new user data inputs

3. Update API keys in connected services

4. Log deployment events for the team

5. Clean up temporary test records

1. Alert on server resource spikes

2. Review new user permission requests

3. Log all database access attempts

4. Monitor for database downtime

5. Summarise weekly audit findings

Playbooks

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

What are playbooks?

Index Maintenance Playbook

Database Backup Playbook

User Access Audit Playbook

Slow Query Investigation Playbook

Data Cleanup Playbook

Monthly Revenue Report Playbook

Customer Segmentation Playbook

Inventory Alert Playbook

Churn Analysis Playbook

Data Quality Check Playbook

Schema Sync Playbook

Log Analysis Playbook

Data Migration Playbook

API Key Update Playbook

Performance Baseline Playbook

Server Audit Playbook

Resource Capacity Playbook

Security Compliance Playbook

Incident Response Playbook

System Health Playbook

Connect SQL Server + 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 SQL Server AI Agent

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

Most Tools Call Themselves Agents.
Few Actually Are.

Questions
About SQL Server AI Agent