AI-powered IT. From automated workflows to intelligent agents
Manual monitoring, unstructured tickets, and scattered incident context drain time that should go toward innovation. Make connects your IT infrastructure with the power of AI. You can build reliable workflows that monitor systems and provision accounts, add AI-enhanced processes that structure ticket intake and scan API changelogs - and even deploy agents that automatically take action when necessary. Every step runs on a visual canvas your IT team can trust.


How does IT automation work?
Make connects your IT apps monitoring tools, ticketing systems, project management platforms, documentation repositories, and communication channels. Automated workflows poll system health, provision user accounts, sync documentation, and manage data across systems with precision. AI-enhanced workflows go further, extracting entities from unstructured tickets to create structured backlog items, and scanning API changelogs to summarize updates. Where incidents need to be documented fast and completely, an AI agent pulls context from alerts, chat, and timelines to generate a structured postmortem report.
Every step runs on a visual canvas your IT team can see, audit, and trust.
Use Cases
Explore automated IT workflows

System Monitoring
When the systems that power your business go down, every minute counts. Manual monitoring is slow and reactive — by the time someone notices a problem, it's already impacting users. Make automates the monitoring layer: poll system health on defined intervals, trigger alerts the moment a threshold is breached, route notifications to the right on-call engineers, and log every event.Your IT team responds to real-time signals, not delayed reports.
Identity and access management
Every onboarding and offboarding means logging into each application to provision or revoke access — and the manual version leaves gaps in both directions. New employees wait for access that should exist on day one. Former employees retain it for weeks after they shouldn't. What is worse, idle licenses accumulate unnoticed, running up software costs with no active user behind them. Your Make solution can manage role-based permissions across every connected system the moment an employee lifecycle event fires, and scan for provisioned accounts with no recent activity to flag or de-provision automatically. For your business, this means lean access records, lower helpdesk volume, and software spend tied to actual usage.


System Documentation
Documentation falls out of date the moment a system changes — and nobody notices until someone needs it.Make automates the documentation layer: when systems are updated or configurations change, workflows trigger documentation updates, sync changes across repositories, and notify owners. Your documentation stays current without anyone manually remembering to update it.
Company Data Management
As you grow, managing essential operational data manually can easily overwhelm your team, introducing inaccuracies into your decision-making. Make connects your tools to automate operations data management workflows — migrating records, syncing databases, and keeping your infrastructure aligned.


Structured Ticket Intake
Unstructured tickets don't just slow down IT - they delay every team waiting on a resolution. When intake is manual, severity can get misclassified, routing takes time, and the queue backs up before anyone has touched the actual problem. Make ingests raw ticket submissions, uses AI to extract entities, classify severity, and format the output into structured items in your service management platform. Faster intake means faster resolution, and fewer escalations reaching people who shouldn't be handling them.
Incident Management
On-call engineers get woken by a flood of disconnected alerts and spend the first critical minutes correlating signals across monitoring tools before they can even diagnose the problem. In Make, an AI agent continuously ingests alerts from your observability stack, suppresses noise, classifies severity, and executes first-response runbooks — restarting services, rolling back deployments, scaling resources — before a human is paged. Engineers get escalations with context already assembled, not raw alert dumps. Mean time to resolution drops, alert fatigue decreases, and every action is logged for post-mortems automatically.


System Update Monitoring
Software systems change constantly, and can shift behavior without much warning. For IT teams managing a portfolio of applications, staying on top of those changes is an important task that often includes monitoring different sources - like release notes - across every system they own. Miss one and something breaks downstream before anyone knows why. Make can routinely check your managed systems, use AI to summarize what changed, and notify the responsible owner immediately. and notifies the responsible owner immediately. Your team stays current on every system they manage. Moreover, they can assess impact and can act before a change becomes an incident.
Vulnerability registry distribution
Keeping a prioritized list of critical vulnerabilities current is straightforward in theory and tedious in practice. The list lives in one system, the teams who need it work in others, and keeping everything in sync requires regular exports.
Make can maintain a central vulnerability registry triggered by workflow state changes in a system like Jira, and then make it available for the downstream systems to call it on demand. Every team pulls current data without waiting on someone to send it.

Benefits of AI-powered IT automation
With Make's AI and automation platform, you can set up workflows that span from automated system monitoring and account provisioning to AI-enhanced ticket structuring and API changelog detection to an AI agent that generates incident postmortems. These workflows handle system monitoring, network configuration, software updates, and incident management. All visible on a canvas your IT team can trust.

Automated workflows handle the IT tasks that consume your team's day. Monitoring runs on schedule, accounts provision instantly, and documentation updates automatically. AI structures incoming tickets, so IT teams focus on innovating instead of triage. When an AI agent generates postmortems, incident learning happens without manual write-ups.

AI workflows don't miss a monitoring check or skip an access revocation. AI classification ensures consistent severity labels across tickets, keeping your IT records perfectly audit-ready.

Every IT environment is different. Make lets you build workflows that match your exact infrastructure without writing code, allowing you to scale automation alongside your organization's unique goals.
How to automate your IT processes
Here is what you need to get started.

Pinpoint the tasks that drain your IT team's most time or get in the way of your stakeholder’s ability to execute their work. Manual system monitoring checks, ticket intake that buries developers in triage, API changes that go unnoticed, or incident documentation that takes hours. Identify the pain, that's your first workflow.

Select a versatile platform, like Make, that integrates with your IT infrastructure and supports monitoring triggers, AI-enhanced ticket classification, and autonomous agents. Use Make's drag-and-drop canvas to build visually.

Explore Make's ready-to-use IT templates to find quick solutions for common IT automation tasks.

Build workflows that handle your IT processes reliably. Add AI modules where you need entity extraction or changelog summarization. Manage everything from Make Grid.
Learn from business turning automation vision into reality
FAQ
How it works
Traditional no-code iPaaS platforms are linear and non-intuitive. Make allows you to visually create, build, and automate without limits.
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