Named AI colleagues
Each team includes role-based AI colleagues such as organizers, researchers, executive assistants, growth support, or technical reviewers.
Managed AI teams for growing businesses
Add an AI team to your business.
Arx-Labs sets up managed AI colleagues for coordination, research, marketing, executive support, and technical work — connected to your tools, guided by your permissions, and reviewed by humans.
- Start with a small AI team that solves one real bottleneck.
- Use named AI colleagues with clear roles, playbooks, and responsibilities.
- Keep humans in control of approvals, permissions, and sensitive actions.
Important work gets stuck between people, tools, and meetings.
- Follow-ups, meeting notes, research, documents, and customer requests scatter across different systems.
- Small teams need more capacity, but hiring every specialist role early is expensive and slow.
- Generic chatbots and automation builders still leave you with the work of designing the system.
- Arx-Labs turns AI into managed business capacity: roles, playbooks, permissions, and review-ready outputs.
Managed AI teams, not another blank platform.
You do not start with an empty workflow builder. You start with a small AI team designed around a business function.
Focused playbooks
Teams produce useful recurring outputs: briefs, summaries, action trackers, comparisons, outreach drafts, QA notes, and checklists.
Lightweight setup
Choose a team, complete a guided setup, connect the tools it needs, and review the first outputs before expanding.
Human control
AI colleagues help draft, organize, research, and prepare work. Your team approves sensitive decisions, external sends, and permissions.
Popular ways to start
Start with a clear business function, then compare the full team details when you are ready to choose.
Starter AI Team
For owners and small teams that need meeting summaries, action tracking, weekly briefs, and follow-up reminders.
Executive AI Team
For leadership teams that need decision prep, research support, opportunity tracking, and business follow-through.
Growth AI Team
For businesses that need more consistent marketing, outreach, content planning, and sales-support output.
IT / Product AI Team
For product, website, internal-tool, QA, security, UX, and release-support work with a larger technical AI team.
How it works
Start small, prove value, then add more playbooks or another AI team when useful.
- 1Choose a team.
Pick the business area where work keeps getting stuck: coordination, research, growth, executive support, or technical backlog.
- 2Complete guided setup.
Tell the team what to watch, what to produce, which rules to follow, and what humans must review.
- 3Connect tools and permissions.
Connect only the systems the team needs for its role: email, calendar, documents, CRM, project tools, repos, or shared folders.
- 4Review first outputs.
The AI team starts producing briefs, drafts, summaries, checklists, and recommendations for human review.
Straightforward monthly pricing.
Standard AI teams start at $200/month. Most business teams are $200-$550/month, the larger IT / Product AI Team is $1,500/month, and custom teams are scoped individually.
Fixed team packages
Choose a standard managed AI team with a clear monthly price instead of designing a custom agent stack from scratch.
Custom when needed
Use a scoped custom team for deeper integrations, unusual approval flows, high-volume work, or a nonstandard team mix.
Built for human review and least-privilege access.
AI colleagues can help prepare work, but your business keeps control of approvals, external sends, sensitive decisions, and tool access.
- Permissions are scoped to the systems each AI colleague needs for its role.
- Review rules define what can be drafted, summarized, recommended, or sent for approval.
- Security and data-handling expectations are part of the setup, not an afterthought.
Start with one managed AI team this month.
Start with one managed AI team, a guided setup, and review-ready outputs.