Wajo launched its Fo AI action agent publicly on Sept. 28, following a month-long alpha period. The agent manages everyday tasks—calls, emails, scheduling, vendor coordination, document creation, bookings and purchases—by integrating AI automation with human executive assistants for decisions that require judgment.
Fo operates as an autonomous worker capable of completing defined outcomes, not just executing prompts. It learns from user feedback and adapts performance based on increased usage, functioning across email, Slack, text, phone, Google services, the web and custom enterprise integrations like CRMs and internal tools.
The core business model centers on a hybrid execution layer. When Fo encounters a task outside its capability or one requiring human judgment, it escalates to a real person or trained assistant to close the gap. Users configure autonomy levels—draft-only mode, approval-before-action, or independent work for defined tasks—with the system automatically seeking approval for hard-to-reverse actions.
Security differentiates the product. Fo uses a single-use virtual card for each purchase, never exposing actual card details to merchants. It signs into websites without storing passwords, encrypts OAuth tokens and cached data at rest, and enforces least-privilege permissions. Wajo explicitly avoids selling personal data or using Google Workspace data for third-party model training.
For enterprises, Wajo offers shared workspaces where teams collaborate with agents, knowledge bases and workflows. Roles and permissions control who instructs agents, approves actions and manages integrations.
Vinod Khosla has backed the company, citing trust as Wajo's competitive moat in the agent market. Wajo offers a free tier with daily limits lifted through invites, plus custom pricing for larger deployments.
The hybrid model addresses a fundamental constraint in autonomous AI: real-world complexity often requires human judgment that pure automation cannot provide economically at scale. By embedding human assistants into the workflow rather than requiring manual intervention after failures, Wajo trades some operational leverage for task completion reliability—a bet that businesses will pay for predictable outcomes over cheaper but fragile automation.
