Role-based agent teams
Set up separate agents for research, analysis, drafting, and operations instead of forcing one agent to do every job.
Feature
Instead of asking one chat thread to do everything, WizeOS lets you set up specialist agents that work together across research, analysis, reporting, and operations.
Role-based agent teams
Set up separate agents for research, analysis, drafting, and operations instead of forcing one agent to do every job.
Project-level ownership
Attach the team to a workspace or project so the same setup can be reused for recurring work.
Repeatable runs
Run on demand or on a schedule and deliver one clear output back to the team.
Problem
Single-chat interfaces make sense for quick answers, but they break down when you need repeatable workflows: multi-step research, structured reports, or any job that spans multiple tools and people. Work gets stuck in threads no one can reuse.
Solution
In WizeOS, you create agent teams with clear roles: research, drafting, analysis, operations. Each agent has its own skills, data access, and responsibilities, and WizeOS orchestrates how they work together on every run.
How it works
Step 1
Define specialized agents for research, writing, ops, or CX. Assign their skills, tools, and access to internal data.
Step 2
Attach agent teams to Projects and Workspaces so they own specific workflows such as weekly market briefs, customer health reports, or onboarding sequences.
Step 3
Trigger runs on demand or on a schedule. WizeOS coordinates all agents, captures their reasoning, and delivers a single, clean output for your team.
Use cases
WizeOS gives each agent a defined role, then combines their work into a final output your team can review and trust.
Market and competitor research teams that scan sources, cluster insights, and draft executive briefs.
Ops reporting teams that pull metrics, explain changes, and propose actions every week.
Customer insights teams that read tickets, tag themes, and surface risks early.
WizeOS core
Treat AI as a real team with roles, workflows, data access, and repeatable output instead of a one-off chatbot.