SQL Server

SQL Server

#320 most-used

Query, insert, and act on your Microsoft database

ProductivityDatabaseAnalyticsDeveloperAutomation

Microsoft SQL Server is a relational database management system used to store, retrieve, and manipulate structured business data across sales, operations, finance, and customer management. Connect it to Actionist and your agents can insert new records, update existing rows, run custom SQL queries, and react to data changes — all without a developer writing a script or scheduling a manual export.

Average time saved
14 hours
per person · per month
≈ 2 workdays back

Eliminates manual work. Agents eliminate manual SQL query runs, data exports, copy-paste reporting, and row-by-row record updates that database-dependent teams perform every week.

Schedule

What your SQL Server agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
Wed–Fri
Wed
Thu
Fri
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
Multi-app workflows

SQL Server × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
7Apps spanned
~22 hrsSaved / week
5Personas served
For sales
Featured4 apps

New lead from web form lands in SQL Server and sales is notified

When a form submission inserts a new row into the `leads` table, the Sales Agent retrieves the record, checks for a duplicate email in the CRM, assigns the lead to the right territory rep, and posts a formatted lead card to the #new-leads Slack channel — all within about a minute of the row landing in SQL Server.

~8 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When a web form submission creates a new row in the SQL Server leads table
Result
Create or update contact recordPost lead card to #new-leads with territory and scoreSchedule a follow-up call for the assigned rep
The win
Saved per run
12 min
Runs / week
~40×
Every lead is assigned and visible in Slack within about a minute
Driven bySales Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    30 min / week
    Manual pipeline query and export

    Sales ops run a manual SQL query each Monday, export the results to Excel, format the table, and paste it into Slack — a 30-minute job before the team can start the week.

    Sales Agent
    0 min
    Agent queries and posts the pipeline digest automatically

    Every Monday at 8 AM the Sales Agent queries SQL Server, identifies stale deals, and posts the formatted digest to #sales — the team starts the week with live data before the first standup.

  • Marketing
    45 min / week
    Manual campaign response export and dashboard update

    The marketing team manually exports campaign response rows, pastes them into the dashboard, and calculates engagement rates — a weekly Tuesday morning task that takes 45 minutes.

    Marketing Agent
    0 min
    Agent extracts and publishes campaign response data automatically

    Every Tuesday the Marketing Agent queries campaign response rows directly from SQL Server and writes results to the dashboard — the team's planning meeting starts with live numbers, not a CSV.

  • Customer Support
    20 min / week
    Manual SLA breach check and ticket re-assignment

    A support lead manually reviews the ticket queue each morning, identifies SLA-breaching tickets, and re-assigns them — a process that takes 20 minutes and relies on not missing anything in the list.

    Customer Support Agent
    0 min
    Agent identifies SLA breaches and alerts the team automatically

    Every Monday at 8:30 AM the Support Agent queries SQL Server for SLA-breaching tickets and posts the breakdown to #support — the team knows their exposure before the first customer call.

  • Human Resources
    30 min / week
    Manual new-hire check and onboarding setup

    HR checks the HRIS system manually each Monday, identifies upcoming starters, and creates onboarding tasks by hand — a process that takes 30 minutes and sometimes misses start dates added late.

    Human Resources Agent
    0 min
    Agent detects new-hire rows and triggers the onboarding sequence

    Every Monday the HR Agent queries the employees table for upcoming starters and kicks off the full onboarding sequence — task list created, manager notified, Slack card posted, all from a database query.

  • Finance
    45 min / week
    Manual overdue invoice query and payment chasing

    The accounts team runs a manual overdue invoice query on Monday mornings, exports the list, and sends chase emails one by one — a process that takes 45 minutes and misses invoices if the query isn't run.

    Finance Agent
    0 min
    Agent identifies overdue invoices and starts the chase sequence automatically

    Every Monday the Finance Agent queries overdue invoices directly from SQL Server, creates chase tasks, and posts the total overdue balance to #finance — chasing starts before the accounts team sit down.

  • Operations
    30 min / week
    Manual inventory check and reorder request

    The operations team manually reviews stock levels each Monday, identifies low-stock SKUs, and raises purchase requisitions by hand — a 30-minute process that depends on not missing a row in the spreadsheet.

    Operations Agent
    0 min
    Agent detects low-stock rows and raises purchase requisitions automatically

    Every Monday at 7:30 AM the Operations Agent queries inventory below reorder points and writes purchase requisitions directly to the database — procurement knows what to order before the first supplier call.

  • Legal
    20 min / week
    Manual contract expiry tracking and renewal chasing

    The legal team checks a spreadsheet of contract expiry dates each Monday, identifies contracts expiring in the next 30 days, and sends renewal reminder emails by hand — a process that takes 20 minutes and misses contracts when the spreadsheet is out of date.

    Legal Agent
    0 min
    Agent queries expiring contracts and sends renewal alerts automatically

    Every Monday the Legal Agent queries SQL Server for contracts expiring in 30 days and sends renewal alerts via Slack — no contract lapses because it fell off a manual tracking sheet.

+ 100s of other SQL Server automations
Average time saved
22 hrs / person / month
Calculator

Calculate what your team saves

Team size
8 people
Hourly rate
$35 / hr
Hours saved / week
28
Hours saved / year
1,400
Annual ROI
$49,000

Based on SQL Server's typical team usage — the visible tasks plus a few other automations the agent runs: ~3.5 hrs / person / week of admin work automated.

Connect

How to plug SQL Server into Actionist

Pick the connection method that suits your environment.

Connect Actionist to SQL Server using a dedicated service account username and password. Actionist runs a test query to verify the connection and then uses these credentials for all subsequent actions.

1
Create a dedicated service account

In SQL Server Management Studio, create a login with the minimum permissions needed: SELECT for read-only workflows; SELECT + INSERT + UPDATE for full automation. Never use the SA account.

2
Allow Actionist's egress IP

If your SQL Server is behind a firewall, add Actionist's egress IP (shown on this screen) to the firewall allowlist on port 1433. For Azure SQL, add the IP in the Networking section of the Azure portal.

3
Enter connection details and test

Fill in the host, database, username, and password fields below and click Test connection. Actionist runs a read-only query to confirm the handshake before saving.

Credentials you'll need
Host*
Your SQL Server hostname or IP address (e.g. myserver.database.windows.net)
Port
Default is 1433. Change only if your instance uses a non-standard port.
Database*
The name of the database to connect to
Username*
A dedicated service account with the minimum permissions required
Password*
The service account password — stored encrypted and never logged
Actions

14 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

6 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

FAQs

Questions about SQL Server + Actionist

How does Actionist connect to SQL Server?
Go to the Apps tab, find SQL Server, and click Connect. Enter your SQL Server hostname, port (default 1433), database name, and a dedicated service account username and password. Actionist runs a test SELECT to verify the connection before any actions execute. Use a read-only account for trigger-only workflows; a read-write account is needed for New Row and Update Row actions. If your SQL Server instance is behind a firewall, you'll need to add Actionist's egress IP to your firewall allowlist — the IP is shown in the connection setup screen.
Do I need to expose my SQL Server to the internet to use Actionist?
For cloud-hosted SQL Server instances (Azure SQL, AWS RDS SQL Server, GCP Cloud SQL) the database is already network-accessible and you just need to allow Actionist's egress IP in the firewall rules. For on-premises SQL Server, you have two options: allow Actionist's egress IP through your corporate firewall on port 1433, or use a reverse-proxy tunnel service to create a secure outbound tunnel without opening inbound firewall rules. The desktop agent can also run queries against a locally reachable SQL Server instance without any firewall changes.
What SQL operations does Actionist support beyond simple inserts and lookups?
Beyond inserting and updating individual rows, Actionist supports running any custom SQL query you write — including multi-table JOINs, aggregate functions (COUNT, SUM, AVG), subqueries, and stored procedure calls. The Create Custom Query action accepts any valid T-SQL statement that completes in under 30 seconds. For read operations, Find Multiple Rows via Custom Query lets you define complex SELECT logic with full WHERE, ORDER BY, and TOP clauses. This covers the majority of operational data workflows without needing a developer to write a separate service.
How does the New Row trigger work and how often does it check for new data?
The New Row trigger polls your specified SQL Server table on a schedule, checking for rows with a primary key value higher than the last-seen maximum. Actionist polls within about a minute of the previous check completing — so a new row written at 10:00 AM will typically fire the trigger within about a minute. The trigger requires a unique, auto-incrementing primary key column for reliable deduplication; if your table uses a different scheme, use the New Row (Custom Query) trigger and write a query that returns only rows added since the last run.
Can Actionist agents write back to the same SQL Server table they read from?
Yes — reading and writing to the same table in a single agent run is fully supported. A common pattern is: read rows matching a condition, process them, then update those same rows to set a flag (like `processed = 1` or `alerted = 0`) so they don't trigger again on the next poll. The service account only needs the permissions relevant to the actions you configure: SELECT for reads, INSERT for New Row, UPDATE for Update Row, and EXECUTE for stored procedure calls.
What is the difference between Find Row and Find Row via Custom Query?
Find Row performs a simple equality lookup: you specify a table, a column, and a value — Actionist returns the first matching row. This works for most single-column lookups by ID, email, or status. Find Row via Custom Query gives you a full T-SQL SELECT statement, so you can apply multi-column WHERE conditions, JOIN related tables, use subqueries, or apply ORDER BY logic to control which row is returned when multiple match. Use Find Row for simple key-based lookups and Find Row via Custom Query when your match condition can't be expressed as a single column equality.
Is there a risk of Actionist agents making unintended changes to production data?
Actionist's Approval Modes let you control how much autonomy each agent has before a write action executes. In 'Ask each time' mode, the agent will surface the proposed INSERT or UPDATE to you in Slack or Telegram for confirmation before it runs — no row is written until you approve. For higher-trust workflows you can set 'Guarded auto' (agent runs autonomously but logs every write for review) or 'Full auto' (runs without interruption). Destructive actions like Delete Row always require explicit approval regardless of mode. Starting in 'Ask each time' and promoting to auto once you've verified the agent's behaviour is the recommended approach.
Can I use Actionist with Azure SQL Database, AWS RDS for SQL Server, or other hosted SQL Server variants?
Yes — Actionist connects to any instance that speaks the TDS protocol on port 1433, which includes Azure SQL Database, Azure SQL Managed Instance, AWS RDS for SQL Server, Google Cloud SQL for SQL Server, and self-hosted SQL Server 2016 and later. The connection setup screen accepts a hostname, port, database name, username, and password — the same credentials you'd use in SQL Server Management Studio or Azure Data Studio. Azure SQL requires the server name in the format `your-server.database.windows.net`; for RDS instances use the endpoint hostname shown in the AWS console.
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