[San Francisco, United States = DigitalToday reporter Chi-gyu Hwang] Almost every major company in the enterprise tech sector is now stressing an AI-agent-first approach. Announcements are pouring out from leading enterprise software companies that say they will help develop and use AI agents.

Enterprise software companies are taking increasingly bold steps toward AI agents.

The push is evolving beyond helping companies develop and properly use AI agents as easily as possible. It is shifting toward becoming the first gateway or interface companies encounter when they use AI agents at work.

Snowflake, known as a cloud-based data platform widely used for analytics, is also focusing on that direction.

Snowflake will unveil its latest strategy and a large slate of new products aimed at AI agents at its annual Snowflake Summit 2026 conference, held at San Francisco's Moscone Center from June 1 to 4 local time.

Through the event, Snowflake appears set to make clear it wants to play a more significant role in enterprise AI agent environments, beyond its core strengths in data storage and analytics platforms. It is also expected to disclose execution files for that effort.

Snowflake has stressed that data is central to enterprise AX. The same applies to AI agents. The argument is that companies can make AI transformation (AX) a reality only if their AI agents have access to high-quality data and an environment where that data can be used safely across the enterprise.

As part of that, Snowflake appears to be accelerating efforts to position itself as a platform company where not only developers but also business-side staff can directly create and use AI agents. It is expanding from the existing data platform area to a higher stack that encompasses governance, context management and business logic.

Its product portfolio is also being built around that direction.

Cortex AI and Cortex Code target technical experts including developers, while Snowflake Intelligence targets business users in non-development roles.

Cortex Code, a coding agent, is expanding support to external data systems such as AWS Glue, Databricks and open-source PostgreSQL, allowing applications to be built without data migration. It also supports Visual Studio Code integration and an Anthropic Claude Code plugin. With a new SDK supporting Python and TypeScript, companies can embed Cortex Code functions in their own applications.

Snowflake Intelligence integrates MCP and also supports connections to Google Gmail, Google Calendar, Google Docs, Atlassian Jira, Salesforce CRM and Slack. It also supports an iPhone app, enabling data queries and workflow execution on smartphones. It also provides "deep research," which generates multi-step reports that include sources, and "artifacts," which save and share analysis and workflows.

Snowflake recently acquired Natoma, an enterprise MCP platform.

These are examples showing its willingness to support a broad range of systems outside Snowflake, so enterprise users start AI agents in Snowflake.

As it pushes an AI-agent-centered strategy, Snowflake has come to compete with formidable companies.

Beyond Databricks, which is similar to Snowflake, major companies such as Microsoft, SAP, Salesforce and Palantir are also approaching AI agents with goals similar to Snowflake's. More recently, even OpenAI and Anthropic, which build AI models, have also presented and emphasized goals similar to Snowflake's.

For Snowflake, which aims to become an enterprise AI agent interface, it needs to present more definitive offerings. This event is expected to serve as the stage for that, and attention is on whether what it announces can lead to meaningful impact.