Reasonlayer offers a no‑code AI automation platform that lets teams build workflows in plain English, turning descriptions into executable processes. Users can create custom review steps that route AI‑generated outputs to the right people, with editing, Slack/email notifications, and escalation if needed. The platform’s agents run in isolated computing environments, capable of reading/writing files, browsing, and executing code either in the cloud or on‑premises, ensuring secure tool access.
Funding
Funding not disclosed
Founders
Product
Problem
Teams often need to automate complex, multi-step tasks that involve data retrieval, content generation, and decision-making, but building such automations typically requires programming expertise and custom integration work. Without a streamlined solution, organizations must rely on manual processes or fragmented tools, leading to inefficiencies and a lack of visibility into AI-driven actions.
Solution
Reasonlayer offers a no‑code platform that lets users create AI‑driven workflows using plain‑English descriptions. The system compiles these descriptions into executable workflows that can read and write files, browse the web, and run code in isolated computing environments either in the cloud or on local machines. Custom review steps can be inserted to route AI outputs to the appropriate team members via Slack or email, allowing humans to edit, approve, or escalate results before they are acted upon. By providing secure access to tools and data, Reasonlayer enables teams to automate real work—such as outbound sales outreach or account health monitoring—while keeping the entire process transparent and under human control.
Target Audience
Primary customers are operations, sales, and customer‑success teams in mid‑size to large enterprises that need to automate repetitive, data‑intensive tasks without requiring developer resources.
Features
- Plain‑English workflow designer that translates natural language into fully functional AI agents
- Integrated review loops that route outputs to specific users, support in‑app editing, and send notifications through Slack or email
- Agents equipped with dedicated computing environments capable of file I/O, web browsing, and code execution
- Flexible deployment options allowing agents to run in the cloud or on on‑premises hardware with secure tool access
- Built‑in connectors for popular AI models (e.g., Claude, Cursor) and the ability to attach custom agents
- Use‑case templates for outbound sales prospecting, personalized outreach, and account management reporting