OpenAI builds and deploys advanced AI models like GPT-4o for autonomous agents and workflows.
Automation & Agents
Automation & Agents covers software that does work in place of a person doing it by hand. At one end are deterministic sequences: a trigger fires, defined steps run, data moves between systems. At the other are programs given an objective that choose their own next move, calling tools and keeping context. Between them sit tools that hold records in step across applications, handle small repeated chores, and drive interfaces directly where no API exists.
Operations, finance, marketing, support and engineering teams buy automation and agent tools to stop manual copying, route requests, reconcile records, or clear the routine part of a queue. Products diverge on connector reach, which events start a run, what happens when a step fails midway, how much of a run stays inspectable, whether credentials are per user or shared, whether the platform can be self-hosted, and whether someone approves irreversible actions.
Test against the systems you actually run, not a published connector list, and break a run deliberately to see whether the platform resumes, rolls back or leaves work half finished. Recurring weaknesses are brittle selectors, rate limits, silent partial writes, and tokens scoped wider than the job needs. Audit trails matter once automation touches money or customer data. Pricing mixes a free tier with charges by task or run volume, per-seat fees for builders, and usage-based model billing.