Snowflake expands AI tools for business users & developers

Snowflake has expanded its Snowflake Intelligence and Cortex Code products as it seeks to position its platform as a central layer for AI use across businesses.

Snowflake Intelligence is aimed at business users, while Cortex Code targets developers and technical teams. The updates are intended to help organisations move AI systems from pilot projects into day-to-day work.

For business users, Snowflake Intelligence now functions as what Snowflake calls a personal work agent. It can analyse company data, generate charts and take actions across business software including Slack, Salesforce and Google Workspace.

The product is also being extended with workflow tools called Skills, which let users describe tasks in natural language and have the system run them automatically. Examples include preparing presentations, carrying out multi-step analysis and sending follow-up messages.

Additional changes include connectors based on the Model Context Protocol, allowing the software to work directly with applications such as Gmail, Google Calendar, Google Docs and Jira. Snowflake is also adding an iOS mobile app, a deep research function for multi-step reports, and tools for saving and sharing analyses and workflows.

Builder tools

Cortex Code, Snowflake's AI coding product, is expanding beyond the company's own environment. The latest version supports external data systems including AWS Glue, Databricks and Postgres, and can be used through a VS Code extension and a Claude Code plugin.

The software now connects with other AI systems through the Model Context Protocol and Agent Communication Protocol. Snowflake is also introducing an Agent Software Development Kit for Python and TypeScript, allowing teams to integrate Cortex Code functions into their own applications and workflows.

Within Snowsight, Snowflake's user interface for working with data, the company is adding browser-based cloud agents for running code and workflows without local set-up. Other additions include Plan Mode, which lets users preview and approve workflows before execution, and Snap & Ask, which enables interaction with charts and tables.

More than 9,100 customers use Snowflake's AI products each week. Since Cortex Code launched in late 2025, more than 50 per cent of customers have been actively using it.

Snowflake is trying to address a common problem in corporate AI projects: many tools can answer questions or generate text, but fewer can work across governed company data and connected business systems. Its approach brings business users and developers onto the same platform, with one layer for data access and another for building and running AI-driven workflows.

Baris Gultekin, Vice President of AI at Snowflake, said companies will favour platforms that can tie AI to existing systems and data controls. "AI is changing how every company operates, and the platforms that win will make it easy to put AI into practice with the right data and guardrails," he said. "Snowflake gives customers one place to bring their data together, connect the systems they rely on, and turn AI into something that actually helps teams get work done."

Customer use

Several customers described using the software in operations, customer service and manufacturing. Capita said Snowflake sits behind its AI Catalyst Stack for contact centre work in public and private sector settings.

"Snowflake provides the data and intelligence foundation behind Capita's AI Catalyst Stack, enabling us to bring together fragmented operational data and deliver real-time, natural-language insights across the public service contact centres we run and the private sector contact centres we help transform," said Sameer Vuyyuru, Chief AI and Product Officer at Capita. "With Snowflake Intelligence, we're accelerating decision-making, reducing operational overhead, and unlocking meaningful efficiencies for our clients and our own operations. At the same time, Snowflake helps us deploy AI securely and with the right governance across highly regulated, citizen-facing services where performance, compliance and trust are critical."

Telenav said it uses the products to handle large volumes of information. "Snowflake Intelligence has given our data a trustworthy voice, and Cortex Code is driving significant productivity gains in how we work with it," said Kumar Maddali, vice president of product development at Telenav. "At Telenav, we process over 20 terabytes of data per month and more than 200 million events per day. What once took days to weeks to move from raw data to insights can now be done in minutes to hours through a conversational, self-service experience. Together, we are accelerating how we turn complex data into real-time intelligence and make faster, more informed decisions across the business."

United Rentals said Snowflake Intelligence is being used across more than 1,600 locations to help staff query operating data without relying on analysts. The company added that Cortex Code is helping it build AI agents for sales and fleet management.

Wolfspeed, which has deployed AI agents across manufacturing, quality, supply chain and finance, said the software is helping teams analyse plant performance and spot issues earlier. "Snowflake has become a core part of how we're applying AI across our operations. With Snowflake Intelligence, our teams can analyze manufacturing performance, surface insights faster, and even anticipate equipment and process issues before they happen," said Priya Almelkar, CIO at Wolfspeed. "We've already deployed dozens of AI agents across manufacturing, quality, supply chain, and finance, giving teams faster access to trusted data and critical knowledge. This is helping us improve efficiency and accelerate insights, enabling faster actions on the factory floor. It's a meaningful step forward in how we operate and scale as a business."