AI is moving from isolated experiments to everyday operations. Leaders are no longer asking whether models can answer questions. They are asking whether AI can take responsibility for outcomes inside real workflows: closing the books, managing renewals, resolving customer issues, optimizing inventory, or supporting compliance. That shift exposes a hard truth. Business AI only works at scale when it has full context, safe access to first party data, and an execution layer that can run agents and workflows reliably across the enterprise.
Datafi is built as an OS for business AI, designed to give every employee a unified data experience and a practical path to workflow efficiency. The platform brings together four integrated capabilities. Studio helps teams build agents, apps, chat experiences, and workflows. Control Tower governs with policies, security, observability, and audit. Sentinel adds a dedicated cyber and risk control layer. Foundry is the run layer: the control plane and AI orchestration engine that turns AI intent into dependable execution.
Business AI only delivers real outcomes when it has a unified execution layer, combining orchestration, governed data access, and enterprise controls in one place. Foundry is that layer inside the Datafi platform.
What Foundry is and why it matters
Foundry is the operational heart of Datafi. It coordinates the moving parts required to run AI in business settings: models, tools, data access, workflows, guardrails, and monitoring. It is where AI becomes operational in the way enterprises expect, not as a single chatbot, but as orchestrated capabilities that can reason, take actions, request approvals, and improve over time.
Many organizations try to assemble this layer from disconnected tools. The result is tool sprawl, duplicated integrations, inconsistent controls, and fragile automations that break when data changes or model behavior shifts. Foundry replaces that fragmentation with a unified control plane, so every agent and workflow runs through the same execution fabric, with consistent governance and security.
AI orchestration with business context
Large language models are powerful, but they are not inherently business aware. They need structured access to the data ecosystem that defines how an organization operates: systems of record, metrics, reference data, and the policies that constrain how information can be used. Foundry is designed to help create that contextual layer.
By orchestrating access to business data and tools, Foundry enables agents to move beyond surface level answers and into higher value reasoning. An agent can interpret a KPI anomaly, trace drivers across datasets, validate assumptions against authoritative sources, and propose next steps, while respecting policy. This is the foundation for critical thinking workflow automation, where AI supports analysis and decision quality, not just content generation.
A control plane for multi step work and autonomy
Business work is rarely a single prompt and a single response. Real workflows require multiple steps, branching logic, and a mix of automated actions and human decisions. Foundry provides the control plane that manages this complexity.
It orchestrates how agents plan and execute tasks, how they call tools, how they retrieve and transform data, and how they coordinate with people when approvals or exceptions are required. This makes it possible to run agents in autonomous roles where appropriate, while still preserving enterprise controls. Teams can standardize agent behavior and workflow execution across departments, rather than creating one off automations that are hard to maintain.
Built to run what Studio builds
Foundry is designed to work with the rest of the Datafi platform. Studio is where teams build and iterate, with an agent and app builder plus chat and workflow experiences designed for non technical adoption. Foundry runs what Studio builds, turning prototypes into repeatable operations.
Control Tower provides governance that is built in, not bolted on. Foundry aligns orchestration with policies and security requirements, and with the observability and audit capabilities enterprises need. Sentinel adds a security and risk control layer that becomes critical as AI becomes more autonomous. Foundry ensures those controls apply consistently at runtime, across all agents and workflows.
Faster time to value with lower risk
Foundry accelerates time to value by providing a common execution layer for AI. Instead of integrating each new agent with data sources, permission models, logging, and risk controls from scratch, teams reuse a standardized orchestration foundation. That reduces delivery cycles, lowers operational overhead, and makes it easier to scale adoption from one team to the whole enterprise.
It also lowers risk. When AI is deployed through scattered tools, it becomes difficult to know what data is being accessed, which policies apply, or which actions an agent is allowed to take. Foundry centralizes execution, making it easier to enforce consistent controls, produce audit trails, and manage change responsibly.
From answering questions to solving problems
The next era of business AI is about outcomes. That requires agents that can discover context, reason over multiple sources, take actions, and learn from results. Foundry provides the orchestration layer that makes complex agents and workflows possible, and the control plane that keeps them reliable.
This unlocks broad use cases. In finance, agents can explain variance drivers, generate commentary, and route exceptions for review. In revenue operations, they can enrich pipeline signals and recommend next best actions. In customer operations, they can resolve issues by pulling the right context and coordinating across systems. In compliance and security, they can surface anomalies and support investigations with traceable evidence. Across these scenarios, Foundry is the layer that connects AI reasoning to safe execution.
A secure, observable foundation for enterprise AI
Datafi’s goal is to help organizations deploy AI across enterprise workflows with confidence. Foundry delivers the run time foundation to do that at scale. It is the control plane that orchestrates agents and workflows so business users can rely on AI to do real work, not just provide suggestions. It also supports the secure, observable foundation enterprises require, enabling faster time to value with lower risk than tool sprawl.
As models become more capable, the differentiator will be context and execution. Foundry is built to provide both. By unifying AI orchestration with governance and security, Datafi Foundry makes it practical for organizations of any size to turn first party data into autonomous, high impact business operations. Starting with your teams.
