Google launches Workspace CLI for AI agents and partners with Splitit on installment

Google’s new Workspace CLI, released as an open‑source project under the github.com/googleworkspace/cli repository, provides a single command‑line entry point for the full suite of Google Workspace services—including Drive, Gmail, Calendar, Docs, Sheets, Chat and Admin APIs. The tool returns structured JSON for each operation, enabling downstream AI agents to parse results without custom adapters, according to the project’s README. In a post on X, Google Cloud director Addy Osmani described the CLI as “built for humans and agents,” emphasizing that it supports both interactive use and scripted workflows that can be chained together in a reproducible manner. By exposing the same underlying REST endpoints that power Google’s web UI, the CLI eliminates the need for third‑party connectors that have traditionally been a bottleneck for enterprise automation, a point highlighted by VentureBeat’s coverage of the launch.

The timing of the CLI aligns with a broader industry shift toward “agentic” AI, where large language models act as autonomous executors rather than passive chat interfaces. VentureBeat notes that the rise of coding‑native tools such as Claude Code and Kilo CLI has already demonstrated the practical benefits of a scriptable interface: agents can inspect, compose, and debug their actions in a transparent format. Google’s offering extends that model to productivity data, allowing an AI assistant to, for example, draft a spreadsheet row, attach a file in Drive, or schedule a meeting in Calendar—all via a single, composable command set. Because the output is JSON‑encoded, developers can pipe results directly into downstream processing pipelines or other AI services without manual transformation, a capability that Google positions as a “turning point for automation and agent access to enterprise productivity software.”

In parallel with the CLI rollout, Google announced a partnership with payments platform Splitit to enable installment‑based financing for AI‑driven shopping agents. PYMNTS reports that the collaboration will allow agents operating within Google’s ecosystem to present consumers with split‑payment options at checkout, leveraging Splitit’s existing infrastructure that settles the full amount with merchants while the buyer repays over time. The arrangement is intended to lower friction for high‑ticket purchases initiated by conversational agents, expanding the commercial use cases for both Google’s AI services and Splitit’s financing model. Neither company disclosed specific revenue targets, but the joint statement highlighted “greater flexibility for shoppers and new revenue streams for merchants” as the primary business rationale.

Analysts have pointed out that the combination of a unified CLI and integrated financing could accelerate the adoption of AI agents in B2B and B2C contexts alike. By giving agents direct, programmatic access to enterprise data and the ability to close sales with flexible payment terms, Google is effectively creating an end‑to‑end workflow that bypasses traditional UI layers. VentureBeat’s coverage suggests that this could spur a wave of custom agent development, as developers no longer need to stitch together disparate APIs or build bespoke payment gateways. The open‑source nature of the CLI also invites community contributions, potentially extending support to niche Workspace features or third‑party extensions without waiting for Google’s internal roadmap.

Security considerations remain a focal point, especially given the heightened scrutiny of AI assistants handling sensitive corporate information. While the CLI itself is not officially supported by Google, the project’s documentation stresses the use of OAuth 2.0 tokens and service‑account credentials to enforce least‑privilege access. Splitit’s involvement adds an additional compliance layer, as its platform adheres to PCI‑DSS standards for payment processing. Both companies have indicated that audit logs and granular permission controls will be available to enterprise administrators, allowing them to monitor agent activity and revoke access if anomalous behavior is detected. The convergence of a transparent, scriptable interface with regulated financing mechanisms positions Google’s Workspace CLI as a pragmatic tool for enterprises seeking to harness agentic AI while maintaining governance over data and transactions.