Tuesday, November 25, 2025

Using Agentic AI with APOS Publisher for Cloud

In AI circles, 2025 is being called the year of the agent. It's supposed to be the year that agentic AI goes mainstream.

Like many people, I've heard the buzz around agentic AI, but my attitude toward it was colored by the limitations and failures of generative AI. At least it was, until I saw agentic AI in action with APOS Publisher for Cloud.

In a recent webinar (watch on demand here), APOS Solution Consulting Manager Alan Golding provided a simple demonstration of how agentic AI can be used to trigger report broadcasting execution. He showed how agentic AI can drive a report broadcast with dynamic selection of reports, recipients and filters, and how agentic AI expands use case possibilities by controlling when, where and why a broadcast should occur.

Alan laid out a couple of simple scenarios:

Retail - Inventory & Delivery Tracking

• Scenario: AI agent monitors inventory levels and projected deliveries across hundreds of stores.
• Trigger: The agent detects that projected inventory levels differ from normal stock levels resulting in projected inventory shortages.
• Burst Action: Publisher for Cloud sends a report to the impacted store personnel with details on delivery volumes and schedules, and recommendations on shelf space re-allocation.

Energy & Utilities - Outage Response Coordination

• Scenario: AI agent monitors grid performance and weather data to predict outages.
• Trigger: The agent detects a potential outage in a specific region due to storms or equipment failure.
• Burst Action: Publisher for Cloud sends tailored reports to regional response teams within the affected zones, estimated impact, and recommended restoration plans.

Another Tool in the APOS Publisher for Cloud Toolkit

Publisher for Cloud gives you multiple broadcast execution trigger options:

• Date + Time - single or recurring; hourly, daily, weekly, monthly
• Command Line - process chain integration; automation tool integration; bot integration
• Conditional - business rules driven; execution by threshold value criteria; data load completion
• Agentic AI - integration with Agentic AI; drive broadcasts with dynamic selection of reports, recipients, filters

Agentic AI is an attractive option for non-technical users who need quick access to information and the ability to broadcast that information in response to organizational needs.

What Is the Difference Between Generative AI and Agentic AI?

Generative AI generates content, including text and images. Agentic AI performs tasks, both autonomously and at the direction of a human agent, which is revolutionary, because it opens up a world where technology is not simply the tool used to perform tasks, but the actual agent autonomously monitoring events and triggering responses, with minimal to no human intervention.

If that sounds somewhat scary to you, you're not alone. Agentic AI should be implemented in a manner that respects corporate data governance requirements and information security. It needs guardrails.

According to Tom Krantz at IBM Think, "It's important to note that AI guardrails are not one-off security controls: they span datasets, AI models, applications and workflows. That extensive reach makes them foundational for responsible AI practices and enterprise-scale adoption."

As agentic AI enters the mainstream, organizations will need an organized approach to achieve responsible AI practices across the enterprise. If you are lucky enough to work within an enterprise that has this organized approach, using agentic AI with Publisher for Cloud is a safe and efficient means of building effective workflows around your report broadcasting.