JAMS AI · JAX
JAX: an AI agent built into JAMS
Ask a question. Get an answer grounded in real JAMS documentation, not a guess. JAX runs on the model you choose, and it asks before it changes anything.
One customer moved from Appworx to JAMS in 26 days.
Watch JAX diagnose a real job failure in under two minutes.
The 2 a.m. problem
The answer is always in another system
A job fails, and root cause means digging across consoles while the clock runs, especially on call. New hires stall on the one person who knows the environment cold. JAX puts a grounded answer where you already are, so a trivial question stays trivial.
Ask JAMS anything, right where you work
Open JAX from any page in the JAMS Web Client. Ask it to find a job, explain a failure, or walk you through a task, in plain language. Every how-to answer is grounded in the JAMS user guide and checked against a built-in glossary.
What JAX can do at launch
Read
Find and inspect jobs, see what is running, diagnose a failure, and look up how-to guidance, instantly, in plain language.
Write
Submit a job, create a folder, and manage a run: hold, release, reschedule, or cancel. In the current release, it never edits or deletes the job behind a cancelled run.
Coming in R3 — Roadmap
AI-assisted creation of new jobs and workflows from a plain-language description, gated by the same approvals and permissions as everything else.
Built to grow, not to overreach
An agent with guardrails, not an autonomous one
JAX acts only when you ask. It runs as the signed-in user, with that user’s exact permissions, and it pauses before every write for your confirmation. Reads flow freely. Every JAX operation is recorded in its own dedicated log, and any change made through the JAMS API lands in the JAMS audit trail like any other change. The action set will grow; this control model will not. JAX does not learn between sessions, and your conversations are not retained on the server.
Choose the model JAX runs on
Run JAX on a commercial provider such as OpenAI or Anthropic, or on a local model entirely inside your own network. JAMS never trains on your data, and with a local model, nothing leaves at all.
Works with any LLM
Built for the person who answers the page
IT ops and batch teams
A fast, trustworthy answer without leaving JAMS.
Support and on-call staff
A grounded answer at 2 a.m., not a search through old tickets.
New team members
Ask JAX instead of bottlenecking the one expert who knows the environment cold.
Common questions, direct answers
Is JAX an autonomous agent?
Can JAX delete or edit our jobs?
Does JAX learn from our data?
What models does JAX support?
What does JAX cost?
Is everything JAX does logged?
