Analysis
Google announced at a Cloud event on October 8 that it is bringing a unified agentic AI into Gemini, starting with business customers before a later consumer rollout. CEO Sundar Pichai framed the delay in consumer access around solving harder problems around security, scale and performance, while Google Cloud CEO Thomas Kurian described the product as one that takes objectives, not just instructions, per TechCrunch.
What the agent actually does
The agent plans multi-step work from a stated objective, using custom skills and tools, and connects into internal systems: Google Workspace, Microsoft 365, Slack, Jira, Confluence, Git, BigQuery, Databricks, Postgres, Snowflake and MCP servers both inside and outside a company's network. It gets its own Workspace account -- an email address and context about people, teams and calendars -- so employees can tag it, email it, or add it to group chats the same way they would a colleague. A tasks inbox surfaces its reasoning, subagent delegation and progress, and its actions log to an audit trail attributed to the agent rather than to a person.
“A tasks inbox surfaces its reasoning, subagent delegation and progress, and its actions log to an audit trail attributed to the agent rather than to a person.”
Model choice, not Google-only
Gemini picks the best model for a task by default, but Google is letting users choose a different one -- including Anthropic's Claude models -- with open-source and private models promised later. That is notable: Google is also a major Anthropic investor and cloud partner, which Pulse covered in Google's $1.8B virtual-cell commitment alongside Meta and the DOE just a day earlier, yet it is now building Claude access directly into a product meant to compete with OpenAI's agent efforts. New spend controls -- multi-model routing and real-time spend caps -- target a real enterprise pain point as agentic AI usage scales unpredictably.
Competitive landscape
- Meta's Muse -- a consumer-facing agent that recently expanded from mobile to iPad, a much narrower scope than Gemini's enterprise systems integration.
- Instinct -- the messaging-based personal AI assistant that just raised $1B at a $10B valuation; built for consumers, not the Workspace/Microsoft 365/Jira stack Google is targeting.
- OpenAI's ChatGPT (Dots) -- OpenAI's own recent agent interface push, the most direct competitor for enterprise task automation.
- Gemini Enterprise's existing customers -- BNP Paribas, Bradesco, Merck, Orange Spain, Santee Cooper, SOMPO, Ulta Beauty and Wesfarmers, named as current Gemini Enterprise accounts ahead of the agentic rollout.
The counterweight
An agent with its own email address and the ability to act inside Slack, Jira and Git is also a new, poorly understood security risk and compliance question: Google has not detailed how enterprises revoke an agent's access mid-task, what happens when its objectives are ambiguous, or how liability works when an audit trail shows the agent -- not a person -- made a costly mistake. Early testers On, Shopify and PayPal are the ones who will surface those failure modes before anyone else does.
What to watch
Whether enterprises actually grant Gemini's agent write-access to systems like Git and BigQuery at scale, or whether adoption stays confined to read-only, low-risk tasks until the audit-trail and access-control tooling catches up to the ambition of the pitch.