Implementing Intelligent Workflow Programs: 3 Essential Steps to Boost Productivity

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Security and IT teams are under increasing pressure to accelerate outcomes, reduce operational drag, and unlock the full potential of AI and automation.

However, simply investing in tools is not enough. To achieve real impact, organizations need to implement intelligent workflows that combine automation, AI-driven decisioning, and human ingenuity into seamless processes that work across teams and systems.

Three Use Cases for Intelligent Workflows

In this article, we will highlight three use cases across security and IT that can serve as powerful starting points for an intelligent workflow program. Each use case includes a pre-built workflow that can help organizations tackle real bottlenecks with automation while connecting directly into their existing tech stack.

Automated Phishing Response

Phishing emails can be a slow and burdensome process for security teams, given the number of alerts and the growing sophistication of phishing attacks. By streamlining phishing analysis with automated workflows, security teams can get time back to focus on more critical issues and alerts.

The “Analyze phishing senders, URLs, and attachments” workflow uses VirusTotal, URLScan.io, and Sublime Security to analyze key aspects of phishing emails, such as file attachments, website behavior, sender reputation, and detection rule matching. The results are consolidated and displayed in a single page, which can be sent for archiving or further analysis.

IT Service Request Automation

IT service desks are often overwhelmed with repetitive and time-consuming requests, such as password resets, software access provisioning, hardware troubleshooting, and account management. These tasks pull valuable technical resources away from strategic initiatives.

By deploying AI agents to handle these routine service requests, organizations can dramatically reduce response times, ensure 24/7 availability, and free IT teams to focus on complex problems that require human expertise. The “Automate IT service requests using Slack and agents” workflow creates AI agents to categorize and process IT service requests. From a Slack message, the workflow categorizes requests into three categories: password resets, application access, or another action. Each request is then handled by a specialized agent, which responds over Slack, creating a self-serve flow that reduces manual IT involvement.

Monitoring and Managing Vulnerabilities

Security teams face an unrelenting stream of newly disclosed vulnerabilities, which can be weaponized by threat actors. Automating the connection between vulnerability intelligence feeds and asset inventory transforms this reactive scramble into a proactive defense.

By automating the vulnerability detection process, security teams can cut response windows from days to minutes and prioritize patching efforts based on real exposure rather than theoretical risk. The “Check for new CISA vulnerabilities” workflow monitors the CISA Vulnerability RSS feed and uses the Tenable Vulnerability Management platform to check for vulnerable systems. If vulnerabilities are detected, a message is sent via Microsoft Teams.

Conclusion

Intelligent workflows are not about replacing people, but about amplifying them. The three workflows above demonstrate how organizations can quickly move from isolated automation to connected, intelligent systems that blend AI, integrations, and human oversight to solve real operational problems.

By implementing these pre-built workflows, organizations can achieve measurable gains from day one and drive meaningful impact across their organization.