Skygen

Skygen is an AI task automation platform that spins up autonomous digital agents to handle routine computer work end‑to‑end. Instead of only triggering single actions, teams define repeatable workflows and hand them off to AI workers that move data, update systems, and generate outputs such as reports or tickets—all within a security‑defined autonomy model. Organizations decide exactly what each agent can touch, keeping clear guardrails while scaling digital labor fast. The platform is designed to be non‑developer‑friendly, so operations and support leaders can configure and manage agents from a central web dashboard.

• Autonomous AI Agents: Configurable digital workers that perform multi‑step tasks like data entry, report generation, and customer support updates without constant human supervision.
• Security Tiering: A multi‑level security model that lets admins define which apps, data sources, and actions each agent is allowed to use, aligning automation with internal risk policies.
• End‑to‑End Workflows: Support for complete task flows from trigger through decision logic to final output, so teams automate entire processes instead of stitching together isolated steps.
• Central Monitoring Dashboard: A web dashboard to launch agents, review logs, track successes and failures, and pause or adjust automations in real time.
• Non‑Developer‑Friendly UI: Configuration lives in a visual interface, enabling operations and support leaders to build automation without writing code.
• Scheduled Task Execution: Ability to schedule agents to run at specific times or on a recurring basis, ensuring timely reports, updates, and data syncs.

1. Sign up and access the web dashboard – Create an account on skygen.ai and log into the central monitoring interface.
2. Define security tiers and permissions – Set up the multi‑level security model by specifying which apps, data sources, and actions each agent can access, aligned with your risk policies.
3. Create a new workflow – Use the visual builder to map an end‑to‑end process, combining triggers (e.g., new ticket, scheduled time), decision logic, and final outputs.
4. Configure the AI agent’s steps – For each step, define the action (data entry, report generation, API call) and provide the agent with the necessary inputs and guardrails.
5. Test the automation – Run the workflow in a testing or sandbox mode, review logs, and adjust until the agent reliably completes the task from start to finish.
6. Launch and monitor – Deploy the agent for unattended execution, use the dashboard to track successes and failures, and pause or modify automations when needed.

Skygen follows a freemium model, with a limited free tier to test basic agent capabilities. Paid plans scale by monthly credits, the number of Cloud Computers, and token pricing. The following tiers were published at the time of writing—pricing information may not be up to date, so always refer to the official Skygen website for the most accurate details.

• Standard: $9/month – 1,800 credits, 1 Skygen Cloud Computer, access to fast models, scheduled tasks.
• Pro: $25/month – 7,200 credits, 2 Skygen Cloud Computers, access to Fast, Standard, and Pro model versions, 10% cheaper tokens, scheduled tasks.
• Max: $150/month – 50,000 credits, 7 Skygen Cloud Computers, 15% better token pricing, priority support, scheduled tasks.

Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official Skygen website.

• Web Application: Full‑featured dashboard for building, monitoring, and managing AI agents and workflows, accessible from any modern browser.
• Cloud‑native SaaS: Everything runs in the cloud; no on‑premises deployment is required, making it suitable for teams comfortable with SaaS delivery.
• API (Developer Access): Likely available to trigger agents and check statuses programmatically—confirm current availability and endpoints on the official site.
• No Mobile App: The tool is designed for desktop use via web browser; there is no dedicated iOS or Android application at this time.

• Map your process thoroughly before building the workflow. Identify every step, decision point, and data source to avoid surprises during testing.
• Start with low‑risk, high‑volume tasks (like report generation or data entry) to build trust with the agents before delegating critical functions.
• Use security tiering aggressively – set fine‑grained permissions for each agent so they can only access exactly what they need, minimizing the blast radius.
• Schedule regular audits of agent logs via the dashboard to verify that automations are running as expected and no unintended actions occur.
• Keep a human in the loop for exceptions – configure agents to trigger alerts or pause when they encounter ambiguous scenarios instead of guessing.
• Optimize credit usage by combining multiple actions into a single workflow and leveraging scheduled execution for off‑peak periods if credit consumption varies.

• Finance and accounting teams drowning in reconciliations, recurring reports, and inter‑system data transfers who need reliable, auditable automation.
• Healthcare operations administrators handling patient intake, eligibility verification, and document prep where strict data access controls are non‑negotiable.
• Logistics and supply chain coordinators looking to automate shipment status updates, dashboard syncing, and standard tracking requests without missing a beat.
• Customer support and success teams that want to offload ticket triage, draft responses, and CRM updates so human agents focus on complex cases.
• Internal audit and compliance groups seeking a controlled way to run rule‑based checks across systems with a full audit trail and defined permissions.
• Boutique automation agencies that want to white‑label AI digital worker services for clients, relying on Skygen’s secure agent architecture.