Komos – AI That Runs Your Repetitive Work

What

Komos is an AI automation platform for repetitive operational work across browser-based systems, SaaS apps, and documents. It is aimed at business teams in functions such as healthcare, finance, legal, human resources, and supply chain, especially where work spans modern tools and legacy portals.

The core workflow is: a user records a task once while explaining it, Komos generates an editable visual workflow, selects from native integrations when possible, and uses browser automation when APIs are unavailable. Its positioning appears to be an enterprise-oriented alternative to API-only automation tools, with emphasis on deterministic execution, auditability, and support for production use.

Features

• Record-and-learn workflow creation — Users demonstrate a task in the browser and narrate the steps, and Komos converts that demonstration into an editable automation flow.
• Hybrid integration and browser automation — The platform routes work through 100+ native integrations when available and falls back to browser automation for websites or systems without APIs.
• Visual, deterministic workflow editor — Workflows are shown as flowcharts that can be edited with branching, loops, conditions, and rollback controls to keep runs predictable.
• Workflows exposed as APIs — Automations can be turned into API endpoints and triggered from apps, webhooks, or schedulers for broader system orchestration.
• Built-in AI assistant, Moss — Moss helps create automations from natural-language descriptions, monitors runs, and is described as diagnosing and adapting workflows when changes occur.
• Document processing in workflows — Komos can ingest PDFs, images, scans, and spreadsheets, extract structured fields such as tables and totals, and also update documents and forms as part of an automation.

Helpful Tips

• Prioritize stable, repetitive processes first — This kind of platform is usually strongest on high-volume tasks with clear steps, decision rules, and measurable outputs.
• Validate exception handling early — Browser-based and portal-driven automations should be tested against edge cases such as MFA prompts, missing fields, layout changes, and timing delays.
• Use the visual workflow layer for governance — Teams should review generated flows, version important changes, and define ownership so automations remain understandable beyond the original builder.
• Assess where API routing versus browser automation matters — Buyers should map their process mix; Komos is especially relevant when critical work depends on websites or legacy systems without usable APIs.
• Confirm deployment fit for internal applications — The site mentions cloud-hosted execution for public websites and Windows/Mac runners for internal or SSO-protected flows, so environment requirements should be reviewed during evaluation.

OpenClaw Skills

Komos could fit well inside an OpenClaw ecosystem as the execution layer for operational agents that need to complete real business tasks across fragmented systems. Likely skill patterns include invoice retrieval agents, legal filing agents, compliance evidence collection agents, account-opening assistants, and CRM update workflows. Because Komos exposes workflows as APIs, OpenClaw agents could likely trigger them as reusable actions, then use the returned status, logs, or outputs to continue multi-step reasoning and coordination.

A strong likely use case is combining OpenClaw’s orchestration and decision-making with Komos’s browser-level execution and document handling. For example, an OpenClaw agent for legal operations could decide which filings are due, gather source data, call a Komos workflow to navigate a government portal, then route results into review queues and audit records. In finance or supply chain, this pairing could shift teams from manual portal work toward supervised exception handling, where humans focus on approvals and judgment while agents manage the repetitive execution layer.