WHY SNOWFLAKE
Power Your Agentic Enterprise
Every team wants AI agents that actually get work done. Snowflake gives you the governed data foundation, model flexibility and system connectivity to make it real.
Overview
AI won’t figure out your data on its own
Fragmented enterprise architecture limits AI
Dropping a model on top of scattered, ungoverned data won’t build an agentic enterprise. You’ll get outputs that look credible enough to act on, with no way to verify what they're grounded in. The real gap isn't AI capability, it's the governed data foundation beneath it.
The technology landscape is changing
75%
C-level respondents for nontechnical business orgs report a positive, quantified ROI for AI adoption1
60%
Organizations that overlook how people adopt data governance will fail to govern AI by 20272
Becoming an agentic enterprise starts with four essentials
Enterprise data and context
Agents need a trusted foundation to reason, where every autonomous decision is grounded in live, trusted context with clear lineage.
AI model choice
Models keep improving, and each excels at different work. Flexibility lets agents use the best one for each job so AI spend scales with value, not volume.
Software and app integration
Shared context lets agents carry work from SaaS apps to systems of record, with each handoff logged for audit.
An agentic control plane
Having controls anchored to the data and embedded in workflows keep agents in bounds, no matter who builds or uses them.
Proven at Scale
The agentic control plane in action
Watch how a VP of Sales could start the day with their AI work agent
See how a sales leader reviews pipeline, researches accounts, messages the field and automates weekly meeting prep from a single workspace.
“Snowflake shows us how to use the data to actually make Team USA better. That’s exciting — for the whole team, and for me as a pilot — because it’s a resource we didn’t have before.”
Kaysha Love
Team USA Bobsled Olympian
See how Snowflake powers Team USA
“Every piece of data flows live into Snowflake CoWork. We now have access to real-time insights on demand directly in our operational processes.”
Vibhor Gupta
Vice President of Enterprise Data & AI, Shelter Mutual Insurance
Read the story
Watch how a developer builds a churn-prevention system from a single prompt
See how to use CoCo to plan, build, test and deploy a churn-prediction pipeline across Snowflake, Google Cloud and other data, then post save plans straight to the retention team in Slack.
“Snowflake CoCo is changing everything for my team. What would take days of work can be done in minutes.”
Mark Bishop
Director, Enterprise Reporting & Analytics, United Rentals
Read the story
“Snowflake CoCo has made our Snowflake development conversational, quickly improving ROI across our global development teams.”
Joe Tobey
Head of Data Product Engineering, dentsu
Read the story
Global leaders are already turning governed data and AI into measurable impact with Snowflake
$1.2M
Saved annually
4,000
hours reclaimed per year
3.4x
Faster performance powering trusted enterprise AI
BENEFITS
The Snowflake Difference Easy. Connected. Trusted.
Scale enterprise AI without the infrastructure tax
In-house experts can help you deploy with confidence
Implement, realize and scale the best of what Snowflake offers with our experienced professional services team and frontier engineering.
88%
faster average code migration timelines
Stop managing migrations manually
Snowflake AIM offers two paths to a modern data platform: convert and optimize your code, or virtualize existing workloads for immediate value.
One collaborative foundation for data, systems and agents
Connect to tools and apps through the Snowflake partner network
Tap industry and technical expertise to extend Snowflake across your stack without the complexity of connecting disparate systems.
Live, zero-copy connectivity across your stack
Governed MCP connectors, zero-copy data sharing and Snowflake Marketplace give agents access across SaaS apps and partner ecosystems.
Govern the full agentic lifecycle from the data layer
One compliance perimeter for data and agents
Enterprise security, data sovereignty and role-based controls are built directly into the data foundation, so governance doesn't require a separate stack.
Proactive, enterprise-grade security for data and AI workloads
Every agent gets an explicit identity and scoped permissions. Prompt guardrails and AI budget controls keep every action auditable and cost-efficient.
COST GOVERNANCE
Built-in budget controls for every agent action
- Monitor AI credit consumption by user, team and workload as they happen, across every model and agent in production.
- Attribute AI consumption to projects, departments or cost centers with native tagging, so finance teams can see exactly where spend is going.
- Set per-user quotas and automated guardrails so costs stay predictable, and let dynamic model routing match each task to the right level of compute.
TEAMS
Put AI to work for every team
Every function can put AI to work on governed business data, whether that means finding answers, triggering actions or building AI-powered workflows in a simple conversation.
Finance Close faster. Forecast with confidence.
Accelerate period close, sharpen forecasts and run regulatory reporting on governed data your auditors trust.
Sales Prep in minutes. Win more deals.
Score pipeline and surface account insights from governed data without waiting on analysts.
Marketing Measure spend against revenue rather than clicks.
Join ad spend, engagement and pipeline data to show which campaigns earn revenue, then shift budget with confidence.
Developers Build faster. Govern from the first line of code.
Build, test and deploy pipelines, apps and agents with Snowflake CoCo, an AI coding agent that operates under your existing governance policies.
Modernize your data estate for the agentic enterprise
Migrate apps, analytics and models onto one near-zero maintenance platform and spend your time on AI, not upkeep.
Why Snowflake
Frequently Asked Questions
Snowflake runs natively on Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) across dozens of global regions. You can choose your provider and region based on your strategy, replicate data seamlessly across clouds and share data across accounts regardless of the underlying provider. Learn more about the Snowflake platform.
Snowflake uses consumption-based pricing where compute and storage scale independently. Compute is billed in credits based on warehouse size and runtime. Storage is billed per terabyte per month. You pay only for what you use, with no upfront commitments required, and you can start with a free trial that includes $400 in credits. See pricing details.
Snowflake has enterprise-grade security and governance controls built in, including end-to-end encryption, role-based access control (RBAC), network policies, multi-factor authentication. Data governance capabilities such as data masking, classification, lineage tracking and access history, managed through Snowflake Horizon Catalog. Explore Horizon Catalog.
Yes. Snowflake Cortex AI gives you access to leading large language models and AI functions directly on your governed data, with no data movement required. Cortex Agents let you build enterprise agents that reason over structured and unstructured data, take action across connected systems, and stay within your security and cost controls. You can also bring your own models or use open-source options through Snowpark ML. Explore data agents.
Snowflake’s Horizon Catalog provides a single governance layer across all your data and AI workloads. It includes role-based access control, data masking, classification, lineage tracking and audit logging. For agents, every action runs under the querying user’s permissions, so governance scales automatically as AI adoption grows. Explore Horizon Catalog.
The Agentic Enterprise is an organization where AI agents autonomously execute complex business workflows, grounded in governed enterprise data, connected across systems, and controlled by enterprise-grade security. For example, a sales agent can pull pipeline data from your CRM, cross-reference it with financial forecasts, draft a summary and push it to your team’s messaging channel, with every step governed by one set of access controls. Snowflake’s AI Data Cloud is the platform that makes this possible.
The Agentic Control Plane is the orchestration layer built into the AI Data Cloud. It assigns each agent a distinct identity, enforces least-privilege access through role-based permissions, traces every action for audit, and manages AI spend through per-user quotas and dynamic model routing. This means you can deploy agents across teams while keeping security, compliance and cost governance controls centralized. Learn how the platform works.
- Sign up for a free trial: Snowflake offers a 30-day trial with free credits so you can explore the platform immediately. Start for free.
- Follow quickstart guides: Hands-on tutorials walk you through loading data, running queries and building your first analytics workflows. Browse quickstarts.
- Join the community: Connect with practitioners in Snowflake’s community forums for best practices and peer support. Visit the community.
