WHAT ALATION CAN DO FOR YOU
Automation you can trust to run unsupervised — no blind spots, no black box.
Agents take action by definition. No one wants to leave them running unwatched on the business. Alation's Agentic Automation changes that — ensuring agents stay in scope, run on governed data, and leave a full trace. It’s automation you trust on day one that also helps you adapt as things change.

- Custom Agents
- Agent Studio
01
Set the scope before the agent runs.
Connect the agent to governed context. Define what it can see and what it's allowed to do. The lane is set before the agent ever touches the business.

- Eval Runs in DPM/AS
02
Know how it behaves before it goes live.
Run the agent against real cases before launch. See exactly what it does. Not what you hope it will do. Evals provide evidence before exposure.

- Agent Studio Workflows
03
Walk away. The work still gets done. In bounds.
The agent executes unsupervised inside the scope you set. Full audit trail. Every action recorded. No black box.

- Recursive Feedback Loops in DPM/AS
04
Every run makes the next one better.
Each result feeds back into the agent and its context. Every cycle sharpens the next. The gains compound.
“For us, the Alation AI Agent SDK isn’t just a toolkit. It’s how we scale with limited resources, meet users where they are, and make governance stick — not through compliance but through usefulness.”

Director of Data Governance
Where This Gets You
From agents you have to watch, to automation that runs on its own.
Alation makes unsupervised something you can trust, not a risk you're quietly taking.
What does Alation do for building, trusting, running, and governing AI agents?
Alation governs the full lifecycle of AI agents—how they're built, tested, run, and audited—replacing ad hoc, code-level agent development with bounded, evidence-based, and fully traceable agent operations. Instead of agents being hand-built with scope and permissions scattered through code, Alation gives organizations a governed foundation to build, evaluate, run, and defend their agents from day one.
How does Alation govern the scope and permissions of AI agents?
Alation builds agents on governed context with explicit scope and permissions, defining exactly what each agent can see and what it can do before it ever runs. This replaces the common practice of hand-building agents with no guardrails, where scope and permissions—if they exist at all—live buried in code. With Alation, organizations set the lane for an agent before it's ever deployed, moving from open-ended, unbounded agents to ones that are bounded by design.
How does Alation test AI agents before they go live?
Alation evaluates every agent against real cases before launch, so organizations know how an agent behaves before it goes live rather than discovering it in production. Traditionally, agents ship untested, and teams only learn how they behave once the agent is already acting on the business. Alation shifts this from hope to evidence, replacing after-the-fact discovery of problems with pre-launch validation against real scenarios.
Can AI agents run unsupervised with Alation?
Yes—Alation lets agents do the work on their own while staying inside the scope that was set for them, enabling true autonomous operation rather than automation that still requires constant human supervision. In a manual setup, every step typically needs a human watching, which isn't real automation. With Alation, organizations can walk away and trust that the work still gets done within defined bounds, moving from babysitting agents to running them autonomously.
How does Alation keep AI agents accountable?
Alation traces every action an agent takes—what it saw, what it decided, and what it changed—and feeds each result back into the next run to improve performance over time. Without this, organizations are left with no record of what an agent did: a black box that can't be reconstructed or defended after the fact. Alation turns this black box into a full, defensible record, and the agent gets better with every run because its history informs the next one.