AI agents and agentic systems / Santa Monica

AI agents that move work forward.

Eonstar designs and develops agentic systems: AI workflows that can gather context, reason over a task, use tools, and produce an outcome within defined product rules. Approvals, evaluation, and human review are part of the scope.

Start with
real work.

Examples of project scopes to discuss with Eonstar. The right scope depends on the people, information, and tools involved.

01 / Example scope

Research and briefing

Gather relevant information, structure a brief, and preserve source context for a person to review before taking action.

02 / Example scope

Support and knowledge workflows

Find relevant knowledge, prepare a response or recommendation, and hand off cases that need human judgment.

03 / Example scope

Recurring operational work

Connect tools and business context to draft outputs, prepare record updates, or run defined tasks with visible status and review points.

The work

Considered
at every step.

A project scope can include:

  1. Map the task, allowed tools, and boundaries of the agent.
  2. Define the context and memory the workflow needs.
  3. Design approval points, error handling, and recovery paths.
  4. Evaluate outputs against examples of successful and unsuccessful behavior.

Useful answers

Questions,
answered.

What is an agentic system?

An agentic system uses an AI model with tools and context to work through a task. It can choose among permitted steps, such as retrieving information or preparing an update, while operating within defined boundaries.

What kinds of AI agents does Eonstar design?

Project scopes can include research and briefing, support knowledge workflows, content operations, and recurring internal tasks. The fit depends on the available data, tool access, review requirements, and a clear definition of a successful result.

Can a person approve actions before an agent executes them?

Yes. Approval gates and human review are part of Eonstar’s agentic systems scope. The project should specify which actions are permitted automatically and which require approval.

How do you decide whether a workflow needs an agent?

Start with the task. A predictable sequence can often be handled by an automation; a task that requires context and choosing among tools may benefit from an agentic workflow. The requirements should define the expected result and acceptable boundaries.

Start a project

Give the idea
a clear shape.

Describe one recurring task, the tools it touches, the information it needs, and the actions that should require your approval.

Send a project brief