Snowflake is making a bold play to serve everyone from the corner office to the command line. The company this week expanded both Snowflake Intelligence and Cortex Code, its twin AI platforms aimed at general business users and software developers respectively. The move signals a strategic bet that AI adoption inside enterprises requires catering to both the natural language crowd and the coding contingent. And honestly, who can argue with that?
Snowflake Intelligence is being pitched as a tool for the non-technical workforce. Think of it as an AI assistant that lives inside your existing business workflows, ready to execute tasks you describe in plain English. You tell it what you want, and it goes off to prepare presentations, run multi-step analyses, or send follow-up messages. The platform draws data from both internal and external digital assets, including structured and unstructured sources, connected through pre-built connectors and various protocols. Naturally, Snowflake has built in careful access permissions and governance guardrails to prevent data leaks or compliance nightmares. Because nobody wants their AI accidentally emailing the board.
A More Personal AI That Learns From You
One of the more interesting additions is personalization. Over time, Snowflake Intelligence adapts to individual user behavior, learning how you work and what you typically ask for. Users can also save and share workflows, so repetitive tasks don’t have to be reinvented each time. Longer context windows mean you won’t have to restate your long-winded instructions every single session. The AI remembers. Creepy? Maybe a little. Useful? Absolutely.
The company also announced new integrations with Google Workspace, Jira, Salesforce (including Slack), and other systems via the Model Context Protocol (MCP). An iOS app for Snowflake Intelligence is slated to enter public preview soon. These updates stem from feedback gathered through Project SnowWork, a research initiative Snowflake launched last month to showcase the platform and collect user preferences on desired AI features. It seems they were listening.
Cortex Code: A Developer’s New Best Friend
On the technical side, Cortex Code is designed for software development teams working inside enterprise environments. AI has proven remarkably good at handling lower-level coding tasks, and Snowflake wants to be the layer that orchestrates it all. The platform now supports integrations with AWS Glue, Databricks, and Postgres for external data sources. It also connects to other language models using both MCP and the newer Agent Communication Protocol (ACP), a more commerce-focused standard that emerged around the same time as Anthropic’s MCP. Yes, there are competing protocols now. Because of course there are.
VS Code users will soon see Cortex Code as an extension, currently in private preview. A Snowflake plugin for Claude Code is also under development. For teams that want to go deeper, Snowflake’s Agent Software Development Kit for Python and TypeScript is available, letting developers embed Cortex Code functions directly into their own applications. Cloud Agents, also in private preview, are set to appear in Snowsight, Snowflake’s browser-based interface. A new feature called Plan Mode lets users preview and approve workflows before the AI actually executes them. And the company is working on a transparency tool that lets end-users inspect the step-by-step reasoning behind longer research processes. Because trust, but verify.
Two Fronts, One Strategy
Snowflake’s dual approach is clever. It doubles down on the company’s core technical market while simultaneously widening adoption among general business users. Since the platforms launched six months ago, over half of Snowflake’s customers are already using either Snowflake Intelligence or Cortex Code. More than 9,100 customers use its AI products on a weekly basis. Those numbers suggest the strategy is gaining traction.
The new software connectors, mobile app, and browser-based options are designed to create a broader market of users. Additional support for existing enterprise systems will widen its appeal among organizations with deeply embedded workflows and legacy software platforms. Sameer Vuyyuru, chief AI and product officer at Capita, summed it up neatly: “Snowflake helps us deploy AI securely and with the right governance across highly regulated, citizen-facing services where performance, compliance and trust are critical.” It’s the kind of endorsement that matters when your customers include governments and banks.
Looking ahead, the real test will be whether Snowflake can maintain this momentum without creating a confusing mess of overlapping features. The line between a business user’s AI assistant and a developer’s coding toolkit is blurring fast. But for now, Snowflake seems intent on serving both camps, and doing so with an increasing degree of polish and personalization. If the company can keep its governance tight and its integrations broad, it might just pull off the rare trick of being everything to everyone.
