Discover how teams use their AI Workers every day: writing marketing content, generating and reviewing code, automated customer support, screening applications and recruiting, financial reporting and much more.
Each use case details the recommended worker, the automated tasks and the expected time savings.
In marketing, our workers write SEO articles, schedule LinkedIn posts, prepare newsletters and analyze HubSpot campaigns. A marketing AI agent can generate and publish content at a pace no human could sustain alone, while respecting your brand voice.
In development, workers write code, review pull requests, fix bugs raised in Jira and maintain technical documentation. They integrate with GitHub, GitLab and Linear to work directly in your engineering flow.
In customer support, workers answer recurring questions in Intercom and Zendesk, categorize tickets, escalate complex cases and write internal knowledge bases. In HR, they screen resumes, schedule interviews and automate onboarding. In finance, they produce reporting, reconcile entries and track cash flow.
In data, workers build dashboards in Looker and BigQuery, write SQL queries, detect anomalies and produce predictive analyses. In SEO, they audit your site, fix meta descriptions, improve Core Web Vitals and publish one optimized article a week.
In design, workers produce UI mockups in Figma, adapt your marketing visuals to every format, maintain your design system and prepare developer handoff. In project management, they coordinate sprints in Jira and Asana, write summaries and track dependencies.
Each use case is documented with the expected time savings, measured ROI, and integration prerequisites. You can filter by role, by tool, or by level of autonomy (supervised or autonomous). Start with a high-impact, low-effort use case, then gradually expand your workers’ scope.