Skygen
Skygen focuses on AI task automation by spinning up autonomous digital agents that handle routine computer work from start to finish. Instead of just triggering a single action, it lets teams define repeatable workflows and hand them off to AI workers that move data, update systems, and generate outputs such as reports or tickets. A big part of the pitch is “security‑defined autonomy,” where organizations decide exactly what each agent can touch, keeping clear guardrails while still getting fast, large scale automation of digital labor.
Make a decision about Skygen
- Already use it? Add Skygen to Stack Autopsy — check cost, overlap and safe cancellations.
- Thinking about buying it? Ask AI Advisor — compare fit, alternatives and trade-offs.
- Want to leave it? Find a replacement — see feature losses and migration risks.
Pricing
- Standard : $9 per month; 1,800 credits per month, 1 Skygen Cloud Computer, access to fast models, and scheduled tasks.
- Pro : $25 per month; 7,200 credits per month, 2 Skygen Cloud Computers, access to Fast, Standard, and Pro versions, 10% cheaper tokens, and scheduled tasks.
- Max : $150 per month; 50,000 credits per month, 7 Skygen Cloud Computers, 15% better token pricing, priority support, and scheduled tasks.
Features
- Autonomous AI agents: Configurable digital workers that can perform multi step tasks such as 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 can automate an entire process instead of stitching together single, isolated steps.
- Central monitoring: A web dashboard to launch agents, review logs, track successes and failures, and pause or adjust automations when something looks off.
Use cases
- Finance Teams: Automating reconciliations, recurring reports, and movement of data between accounting and internal systems.
- Healthcare Administrators: Reducing manual work around intake details, eligibility checks, and document preparation while keeping permissions tight.
- Logistics and Operations Teams: Updating shipment statuses, syncing internal dashboards, and responding to standard tracking requests.
- Customer Support & Success Teams: Triaging tickets, drafting responses, and pushing structured updates into CRMs and help desks.
- Uncommon Use Cases: Utilized by internal audit or security groups to run controlled, rule bound checks on systems; adopted by boutique automation agencies as the engine behind white label “AI digital worker” offerings.