CAPABILITIES / WHITE STORM
Multi-Agent AI Systems
Give complex work a coordinated team of specialized AI agents. Each agent handles a clear role, shares useful context, and works toward a result your team can review.
Discuss your project
IDEAS → SYSTEMS → POSSIBILITIESA PRACTICAL STARTING POINT
Built around the work
your team needs to do.
Multi-agent AI is useful when a task contains several kinds of work: finding evidence, interpreting it, choosing an action, and preparing a result. Separating those responsibilities makes the workflow easier to inspect than asking a single assistant to do everything in one pass.
WHAT WE CAN HELP YOU BUILD
What your team receives.
Purpose-built agents for research, analysis, and execution.
A shared orchestration layer that coordinates tasks and handoffs.
Human review at the decisions that need your judgment.
FROM QUESTION TO WORKING SYSTEM
A focused path forward.
- 01
Define the work
Map the question, the information each agent needs, and the decisions that should stay with your team.
- 02
Coordinate the agents
Design task handoffs, shared context, tool access, and a clear stopping point for each role in the workflow.
- 03
Review the result
Evaluate agent outputs against representative tasks, inspect failure cases, and keep approval steps where consequences matter.
SCOPE BEFORE SCALE
What a project
can include.
A scoped engagement can produce an agent-role map, an orchestration prototype, connected tools, and an evaluation checklist. The exact agents, integrations, and deployment approach depend on the systems and information available to your team.
A clear role for every agent, shared context between handoffs, and a result your team can trace back to its sources.
LET'S GIVE YOUR IDEA A CLEAR DIRECTION
Start with one useful question.
Tell White Storm about your business goal, the tools you use, and the work you want to improve.