News
JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP
A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, without sending operational data outside their own network.
JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.
Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.
JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user\’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.
JAMS MCP is a connector, built on the Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.
“Our customers have told us for years that the slowest part of their day is finding out why a job failed. JAX and JAMS MCP answer that question in plain language, and they do it without asking a single customer to hand their job scripts and logs to a system they do not control.”
—Pete Hegland, Chief Executive Officer of JAMS Software
“We designed JAX and JAMS MCP around one principle: the AI can never do more than the signed-in user with that user's exact permissions, every write waits for confirmation, and customers can run the model entirely inside their own network. We will add capabilities over time, and that control model will stay exactly the same.”
—Dan Fowle, Product Manager at JAMS Software
Fast Facts
JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.
JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.
Both act as the signed-in user with that user\’s exact JAMS permissions — there is no elevated AI account.
Customers choose the AI model, including a local model that runs entirely inside their own network.
JAMS never trains on customer data.
Both are available now at no additional cost as part of JAMS Web.
About JAMS Software
Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.
Media Contact
Bobby Schmidt
Vice President of Marketing
press@jamssoftware.com
