JAMS JAX
by JAMS Software, LLC
AI for enterprise job scheduling that runs on your model, in your network, under your permissions
JAMS JAX is an AI agent built into the JAMS Web Client that finds jobs, troubleshoots failures and answers how-to questions in plain language, shipped alongside JAMS MCP, a Model Context Protocol connector that brings JAMS into Cursor, VS Code, Claude Code, Claude Desktop and Codex. It is aimed at IT operations and platform teams running enterprise workload automation who cannot send scheduling data to a third-party model.
At a Glance
- Category
- Automation & Workflows
- Pricing
- Contact for pricing
- Target Market
- CIOs, IT Operations Leaders, Enterprise Developers, Platform Engineering Teams, Workload Automation Administrators
- Founded
- 1987
- Headquarters
- Middletown, Delaware, United States
Key Features
- ✓JAX in-product AI agent
Finds jobs, troubleshoots failures and answers how-to questions in plain language, grounded in the JAMS user guide and checked against a built-in glossary.
- ✓JAMS MCP connector
An open Model Context Protocol connector that brings JAMS into Cursor, VS Code with Copilot, Claude Code, Claude Desktop and Codex.
- ✓Runs as the signed-in user
Every action executes under the user's exact JAMS permissions with no elevated AI account.
- ✓Approval-gated writes
Read operations proceed automatically while every write action pauses for the user's explicit approval before it runs.
- ✓Bring your own model
Customers choose OpenAI, Anthropic or a local model running entirely on their own hardware inside their own network.
- ✓No retention, no training
JAX does not learn between sessions, conversations are not retained on the server, and JAMS never trains on customer data.
Capabilities
Use Cases
- •Diagnose a failed overnight batch run
Ask JAX in plain language why a job failed and get an answer grounded in JAMS documentation instead of digging through logs manually.
- •Manage scheduling from the IDE
Use JAMS MCP to query jobs, investigate failures and manage runs directly from Cursor, VS Code with Copilot, Claude Code or Codex.
- •Air-gapped AI operations
Run the whole assistant on a local model inside the customer network so no scheduling or job data leaves the environment.
Ideal For
Best For
- ✓Troubleshooting failed batch jobs in plain language without leaving the scheduler
- ✓Bringing enterprise job scheduling into AI coding tools via MCP
- ✓Regulated IT teams that must keep AI inference and scheduling data inside their own network
Deployment
Market Analysis
Pros
- ✓Strict identity, approval and retention model answers most enterprise AI-governance objections up front
- ✓No additional licence cost on top of JAMS Web
- ✓MCP connector meets engineers inside the tools they already use
Cons
- ✗Only useful to organisations already running JAMS for workload automation
- ✗JAX is documentation-grounded and read-first by design, so it will not autonomously remediate
- ✗No published pricing for the underlying JAMS platform
Pricing
JAMS Web (JAX and JAMS MCP included)
Contact for pricing
- ✓JAX AI agent at no additional cost
- ✓JAMS MCP connector at no additional cost
- ✓Local or commercial model of the customer's choice
- ✓Runs inside the customer network
JAX and JAMS MCP ship at no additional cost as part of JAMS Web; JAMS itself is licensed commercially and does not publish rates.
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