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.
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.
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10 use cases found
Diagnose triage bugs with Claude Code
Speed up your bug triage process by handing new bugs to Claude Code as an AI code debugger that runs software root cause analysis on your repository and posts the suspected cause and fix to the ticket.
Diagnose triage bugs with Claude CodeRoute access requests to owners
Turn chat into a self service access request system by having AI interpret each request, find the owner of the app or resource in an internal registry, and route the request to them for approval.
Route access requests to ownersFlag significant A/B test results
Connect your A/B testing tool, check active experiments for A/B test significance on a schedule, and send the product manager a summary of results and insights once a test reaches its threshold.
Flag significant A/B test resultsRecover devices from departed employees
Reconcile weekly departures against your IT asset tracking software, email former employees about unreturned equipment, escalate stalled laptop retrieval cases, and report every outstanding device to IT as part of employee offboarding automation.
Recover devices from departed employeesTrack API changes for engineering
Check every API changelog and spec on a schedule with website change monitoring, summarize new API updates, and alert the responsible engineer and the wider team by email or chat.
Track API changes for engineeringSchedule postmortems from resolved incidents
Extend your incident response automation to postmortems by assembling a post incident review brief from the alert timeline and key messages, then booking the earliest responder slot within the SLA window.
Schedule postmortems from resolved incidentsScreen incoming messages for security threats
Add AI guardrails that work as an LLM firewall for your agents, screening every message for hidden injections, data leaks, and social engineering, then allowing, blocking, or flagging it to strengthen AI agent security.
Screen incoming messages for security threatsAssign backlog tickets to owners
Auto assign tickets on a schedule with an agent that reads each unassigned backlog item, applies your ticket assignment rules to pick the right owner, and moves it to active for cleaner backlog management.
Assign backlog tickets to ownersDraft incident postmortems from chat history
Turn each outage into an AI incident report by pulling incident context and chat history into a structured post incident review with timelines, action items, and owners in a shared document.
Draft incident postmortems from chat historyWith 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.
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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.
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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.
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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.
Here is what you need to start: from reliable workflows to AI-powered IT.
Identify core IT tasks
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.
Choose the right platform
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.
Browse templates
Explore Make's ready-to-use IT templates to find quick solutions for common IT automation tasks.
Develop and deploy workflows
Build workflows that handle your IT processes reliably. Add AI modules where you need entity extraction or changelog summarization. Manage everything from Make Grid.
Success stories
Support
Everything you need to know about the AI-powered IT Automation. Can’t find the answer you’re looking for? Please chat to our team.
AI-powered IT automation connects your monitoring, ticketing, and documentation tools to handle IT operations intelligently. Instead of technicians manually assigning severity to bugs or writing up postmortems, the software manages the triage. It can automatically provision accounts, use AI to read and classify unstructured API updates, or act as an AI agent that pulls chat logs to generate incident reports directly. This approach drastically lowers administrative overhead while keeping systems secure and documented.
Common use cases:
Anything from system monitoring alerts and user account provisioning to complex multi-step workflows spanning ticketing systems, documentation repositories, API management, and incident response.
Manual IT processes consume engineering time that should go toward building. Automation handles the repetitive work — monitoring, provisioning, documentation — with consistency and precision. AI-enhanced workflows add interpretation where unstructured data needs to be classified or summarized. The result: faster incident response, cleaner backlogs, and technicians who spend time on innovation instead of admin.
Make is built with enterprise-grade security — SOC 2 Type II certified, GDPR compliant, with encryption, SSO, and role-based access control. Every workflow step is logged and visible on Make's canvas, giving your infrastructure team full transparency into how data moves through your systems.
An AI agent in Make is an autonomous workflow where the AI determines what steps to take based on the goal you define. For IT, the Incident Postmortem Agent is a practical example: after an incident is resolved, it reviews technical context, pulls relevant chat history and alert timelines, and generates a structured postmortem report with timelines, action items, and owners — all without manual write-up. You define the documentation template and data sources. The agent handles the rest. Every step is logged on the visual canvas.
The shift is from rule-based automation to AI-enhanced and agentic workflows. Automated monitoring and provisioning are now table stakes. The next wave is AI that can interpret unstructured data — classifying tickets, summarizing API changes, detecting anomalies.
Beyond that, AI agents are beginning to handle complex tasks like postmortem generation, where the system determines what context to gather and how to structure the output. Make supports the full progression on one visual platform.
Choose a workflow to automate, get started for free and use Make's visual builder to create your AI automation or agent. Start with Make's ready-to-use AI agents from common tasks, or browse pre-built IT templates to get running in minutes. You can get inspired with those to get started and find your own game-changing use case, and contact our team for more information and help in tailoring these use cases for your business.
