CreateStaff builds custom AI employees that handle real operational work—scheduling, outreach, research, and back-office tasks—so growing companies can scale without adding traditional headcount. Each AI employee is custom-built around a client's specific workflows and runs 24/7 on the company's OpenClaw infrastructure. The company positions itself as an AI operations partner rather than a SaaS tool, targeting teams that want to cut labor costs by up to 90%.
Funding
Funding not disclosed
Founders
Product
Problem
Growing companies are paying premium salaries—often $60,000 or more per role—for work that AI can already handle, such as scheduling, outreach, and research. Traditional hiring also brings limited availability, long ramp-up times, and scaling bottlenecks that slow down operations.
Solution
CreateStaff provides custom-built AI employees that automate real operational tasks, from scheduling and outreach to research and back-office workflows. Each AI employee is designed with the client's team, embedded into existing processes, and engineered for reliability and long-term performance. The company operates as an AI operations partner rather than a software tool, offering a hands-on approach to building and deploying digital staff. These AI employees work 24/7, offer predictable output, and can reduce labor costs by up to 90% compared to full-time hires. The underlying infrastructure is powered by OpenClaw, which the company describes as battle-tested for production AI workloads.
Target Audience
Primary customers are growing companies and startups that need scalable operational support for roles like scheduling, outreach, research, and back-office tasks, without the overhead of full-time hires.
Features
- AI employees custom-built to match a client's specific workflows, not off-the-shelf software
- 24/7 availability with no benefits, PTO, or turnover, enabling continuous operations
- Built on OpenClaw infrastructure, designed for reliability and performance in production environments
- Human-centered design that automates repetitive tasks so human teams can focus on meaningful work
- Radical transparency, with clear documentation of how each AI employee makes decisions
- Focus on quality over quantity, engineering each AI employee for scalability and long-term use