In Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), batch processing is the engine behind many of the tasks users depend on every day, including posting, integrations, master data updates, planning runs, and scheduled routines that keep the back office moving. But when batch jobs slow down or fail, teams are often forced into time-consuming troubleshooting: searching for the right job run, scanning long exception messages, comparing patterns over time, and trying to connect the dots between what changed and what broke.
The Batch Telemetry Agent is designed to close that gap. Built to help teams quickly understand what’s happening in batch processing, it uses AI to turn batch telemetry into clear, actionable insight, so you can focus on resolution, not log hunting. The agent is a faster way to review job runs, failures, recurring issues, and performance trends, while surfacing the context people typically need to take the next step.
Key benefits
By summarizing batch activity and emphasizing what matters most, the Batch Telemetry Agent helps organizations:
- Reduce downtime and fire drills by quickly highlighting failed runs, error themes, and repeat offenders.
- Improve reliability through visibility into recurring issues and patterns that are easy to miss when reviewing one job at a time.
- Accelerate root-cause analysis by calling out meaningful signals (such as what changed and where to focus) without requiring deep technical triage for every incident.
- Support better collaboration between operations, functional users, and IT by providing a shared, plain-language view of what’s happening.
Use case: faster triage after a wave of overnight failures
Imagine a finance team arrives in the morning to discover that multiple overnight batch jobs failed. Posting routines didn’t complete, downstream integrations are delayed, and users are escalating issues because transactions aren’t updated. Traditionally, someone must open batch history, review individual job runs, and piece together whether the failures are related (the same error repeating) or coincidental (multiple unrelated problems).
With the Batch Telemetry Agent, a support lead can start with an AI-generated summary of what ran, what failed, and which issues appear to be recurring. The agent helps surface the likely hotspots and provides guidance on the next best action, whether that’s re-running a job, investigating a change that introduced instability, or routing a specific error pattern to the right owner. The result is a quicker path from “something’s wrong” to “here’s what changed, what’s impacted, and what we should do next.”
Where to start
To get started, begin with your highest-volume or most business-critical batch jobs, confirm that the right telemetry is flowing into Application Insights, and define a short list of questions you want answered consistently (for example, top failures, throttling trends, and duration outliers). From there, you can turn what you learn into simple playbooks and escalation paths that reduce downtime and keep daily processing predictable.
Start here
If you’d like to see the agent in action in your environment, contact us to walk through a quick pilot and identify the best batch scenarios to target first.
This publication contains general information only and Sikich is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or any other professional advice or services. This publication is not a substitute for such professional advice or services, nor should you use it as a basis for any decision, action or omission that may affect you or your business. Before making any decision, taking any action or omitting an action that may affect you or your business, you should consult a qualified professional advisor. In addition, this publication may contain certain content generated by an artificial intelligence (AI) language model. You acknowledge that Sikich shall not be responsible for any loss sustained by you or any person who relies on this publication.
