Snowflake's Agentic Control Plane

Snowflake and Accenture unveil an agentic control plane designed to transform enterprise data into governed, actionable AI-driven decisions at scale.

8 min read
Diagram illustrating the components of the agentic enterprise: Enterprise Data + Context, AI Models, SaaS + Applications, and the Agentic Control Plane.
The four key components enabling the agentic enterprise, including Snowflake's data foundation and the agentic control plane.· Snowflake

The enterprise AI conversation is evolving. Beyond AI as the new user interface for data, the next frontier is turning insights into actionable, governed decisions. This is the core promise of the emerging 'agentic enterprise,' where intelligent agents operate across data, models, and applications to drive business outcomes at scale.

Visual TL;DR. Fragmented Agent Actions due to Lack of Unified Context. Lack of Unified Context requires Agentic Enterprise Architecture. Agentic Enterprise Architecture includes Snowflake Agentic Control Plane. Snowflake Agentic Control Plane integrates with Accenture Context Graph. Snowflake Agentic Control Plane enables Governed Decisions. Governed Decisions leading to Operationalized AI.

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  1. Fragmented Agent Actions: current deployments lead to conflicting decisions between business functions
  2. Lack of Unified Context: dictates industry semantics, KPIs, and policy guardrails across the enterprise
  3. Agentic Enterprise Architecture: centers on data, context, AI models, SaaS apps, and control plane
  4. Snowflake Agentic Control Plane: orchestrates elements, enforces governance, and trans-forms data into decisions
  5. Accenture Context Graph: provides enterprise context for decision intelligence and AI model applications
  6. Governed Decisions: AI-driven decisions are unified, consistent, and adhere to enterprise policies
  7. Operationalized AI: turning enterprise data into actionable, governed business outcomes at scale
Visual TL;DR
Visual TL;DR — startuphub.ai Fragmented Agent Actions due to Lack of Unified Context. Lack of Unified Context requires Agentic Enterprise Architecture. Agentic Enterprise Architecture includes Snowflake Agentic Control Plane. Snowflake Agentic Control Plane enables Governed Decisions. Governed Decisions leading to Operationalized AI due to requires includes enables leading to Fragmented Agent Actions Lack of Unified Context Agentic Enterprise Architecture Snowflake Agentic Control Plane Governed Decisions Operationalized AI From startuphub.ai · The publishers behind this format
Visual TL;DR — startuphub.ai Fragmented Agent Actions due to Lack of Unified Context. Lack of Unified Context requires Agentic Enterprise Architecture. Agentic Enterprise Architecture includes Snowflake Agentic Control Plane. Snowflake Agentic Control Plane enables Governed Decisions. Governed Decisions leading to Operationalized AI due to requires includes enables leading to Fragmented AgentActions Lack of UnifiedContext AgenticEnterprise… Snowflake AgenticControl Plane GovernedDecisions OperationalizedAI From startuphub.ai · The publishers behind this format
Visual TL;DR — startuphub.ai Fragmented Agent Actions due to Lack of Unified Context. Lack of Unified Context requires Agentic Enterprise Architecture. Agentic Enterprise Architecture includes Snowflake Agentic Control Plane. Snowflake Agentic Control Plane enables Governed Decisions. Governed Decisions leading to Operationalized AI due to requires includes enables leading to Fragmented Agent Actions current deployments lead to conflictingdecisions between business functions Lack of Unified Context dictates industry semantics, KPIs, andpolicy guardrails across the enterprise Agentic Enterprise Architecture centers on data, context, AI models, SaaSapps, and control plane Snowflake Agentic Control Plane orchestrates elements, enforcesgovernance, and trans-forms data intodecisions Governed Decisions AI-driven decisions are unified,consistent, and adhere to enterprisepolicies Operationalized AI turning enterprise data into actionable,governed business outcomes at scale From startuphub.ai · The publishers behind this format
Visual TL;DR — startuphub.ai Fragmented Agent Actions due to Lack of Unified Context. Lack of Unified Context requires Agentic Enterprise Architecture. Agentic Enterprise Architecture includes Snowflake Agentic Control Plane. Snowflake Agentic Control Plane enables Governed Decisions. Governed Decisions leading to Operationalized AI due to requires includes enables leading to Fragmented AgentActions current deploymentslead to conflictingdecisions between… Lack of UnifiedContext dictates industrysemantics, KPIs,and policy… AgenticEnterprise… centers on data,context, AI models,SaaS apps, and… Snowflake AgenticControl Plane orchestrateselements, enforcesgovernance, and… GovernedDecisions AI-driven decisionsare unified,consistent, and… OperationalizedAI turning enterprisedata intoactionable,… From startuphub.ai · The publishers behind this format
Visual TL;DR — startuphub.ai Fragmented Agent Actions due to Lack of Unified Context. Lack of Unified Context requires Agentic Enterprise Architecture. Agentic Enterprise Architecture includes Snowflake Agentic Control Plane. Snowflake Agentic Control Plane integrates with Accenture Context Graph. Snowflake Agentic Control Plane enables Governed Decisions. Governed Decisions leading to Operationalized AI due to requires includes integrates with enables leading to Fragmented Agent Actions current deployments lead to conflictingdecisions between business functions Lack of Unified Context dictates industry semantics, KPIs, andpolicy guardrails across the enterprise Agentic Enterprise Architecture centers on data, context, AI models, SaaSapps, and control plane Snowflake Agentic Control Plane orchestrates elements, enforcesgovernance, and trans-forms data intodecisions Accenture Context Graph provides enterprise context for decisionintelligence and AI model applications Governed Decisions AI-driven decisions are unified,consistent, and adhere to enterprisepolicies Operationalized AI turning enterprise data into actionable,governed business outcomes at scale From startuphub.ai · The publishers behind this format
Visual TL;DR — startuphub.ai Fragmented Agent Actions due to Lack of Unified Context. Lack of Unified Context requires Agentic Enterprise Architecture. Agentic Enterprise Architecture includes Snowflake Agentic Control Plane. Snowflake Agentic Control Plane integrates with Accenture Context Graph. Snowflake Agentic Control Plane enables Governed Decisions. Governed Decisions leading to Operationalized AI due to requires includes integrates with enables leading to Fragmented AgentActions current deploymentslead to conflictingdecisions between… Lack of UnifiedContext dictates industrysemantics, KPIs,and policy… AgenticEnterprise… centers on data,context, AI models,SaaS apps, and… Snowflake AgenticControl Plane orchestrateselements, enforcesgovernance, and… Accenture ContextGraph provides enterprisecontext fordecision… GovernedDecisions AI-driven decisionsare unified,consistent, and… OperationalizedAI turning enterprisedata intoactionable,… From startuphub.ai · The publishers behind this format

However, current deployments often lead to fragmented agent actions, creating conflicting decisions between different business functions. This challenge stems from a lack of unified enterprise context, which dictates industry semantics, key performance indicators, and policy guardrails.

The Agentic Enterprise Architecture

Realizing this vision requires a robust architecture. Snowflake and Accenture are collaborating on a solution that centers on four key components: enterprise data and context, AI models, SaaS applications, and crucially, the agentic control plane. This control plane is designed to orchestrate these elements, enforce governance, and translate business intent into governed agentic actions.

At the heart of this is a governed, shared foundation of data and business semantics. Snowflake itself serves as this substrate for over 13,600 organizations, converging governed data, policies, and business logic.

Accenture's Context Graph for Decision Intelligence

Accenture's Context Graph aims to transform this enterprise context into an industry-aware decision substrate. It encodes domain ontologies, value trees, and policy guardrails, ensuring that agents retrieve not just data, but decisions that align with specific industry needs and business policies.

This graph integrates with Snowflake's governed data, inheriting its lineage and policy controls. It makes the data foundation industry-aware, applying the correct business semantics and policy guardrails to every agent interaction.

For instance, in financial services, the Context Graph encodes credit risk frameworks. In consumer packaged goods, it defines channel-specific customer definitions and trade promotion logic. This industry-specific knowledge is maintained as a living asset, evolving with industry changes and client learnings.

AI Models and Applications for Action

Context alone doesn't drive outcomes. It must be coupled with AI models for reasoning and integrated into the applications where work gets done. Snowflake enables choice in AI models, allowing integration with leading options like Claude, Gemini, and ChatGPT through open standards.

Accenture complements this by providing industry jump-starters and ensuring secure, optimized integrations into enterprise systems. This ensures that intelligence is grounded in data, powered by the best models, and actionable within existing workflows.

The Snowflake Agentic Control Plane in Action

The agentic control plane, enhanced by Accenture's Context Graph, coordinates across these elements to enable enterprise-scale action. Snowflake's own tools, like Snowflake CoWork for business users and Snowflake CoCo for developers, act as agents within this plane.

Snowflake CoWork allows business users to access data and take action across applications using natural language. Snowflake CoCo empowers developers to build agentic applications, tapping into any data and system.

Accenture's Reinvention.AI platform further extends this control plane across a client's existing tools and platforms, ensuring decisions integrate seamlessly throughout the enterprise while maintaining governance.

Governed Decisions, Operationalized

With a strong context foundation and a coordinated control plane, the agentic enterprise becomes operational. Data transforms from a passive asset into an active substrate for making, governing, auditing, and executing decisions end-to-end.

This leads to consistency across functions, as agents reason from the same shared context. It compresses the time from question to governed action, enabling business users and developers to achieve outcomes in seconds rather than through multi-step handoffs.

Furthermore, every interaction enriches the context, creating a compounding foundation of structured knowledge and policy. Companies that build this system now will not just adopt agentic AI; they will reinvent on it.

The agentic enterprise is no longer a future state for those investing in their context foundation and decision intelligence layers today. Snowflake and Accenture are actively building this unified agentic foundation for their joint clients.

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