This year, enterprise AI crossed a threshold from experimentation to execution. As organizations moved from assistants to autonomous agents operating across core systems, one reality became clear: without a governed, scalable integration layer, AI cannot move from pilot to production.
SnapLogic has become that layer.
What began as an integration platform is now the Agentic Integration Platform. The operational backbone that enables enterprises to deploy AI agents safely, at scale, and with full architectural control.
Enterprise scale, in production
Enterprise AI is only as strong as the systems it runs on. The following metrics reveal the true operational scale of the Agentic Integration Platform and highlight the production workloads already powering autonomous enterprises today.
Active pipelines (monthly): 700,000
Live integrations, automations, and agent workflows powering day-to-day operations.
Documents processed (monthly): 4.7 trillion
A governed, real-time data foundation required for AI at enterprise scale.
Pipeline executions (monthly): 1.7 billion
Decisions and actions are executed reliably in production, without manual intervention.
API calls per month: 32.2 billion
The control plane for agent and system interactions.
Endpoints integrated: 16,000+
SaaS, legacy, and custom systems unified into a single, governed fabric.
Most used Snap: Transform
Because AI outcomes depend on clean, contextualized data.
Most used SnapGPT prompt: “Describe the pipeline”
Users increasingly rely on natural language to quickly understand and interpret complex integrations
Together, these metrics show what AI readiness looks like in practice. But this level of scale doesn’t happen by accident. Running hundreds of thousands of pipelines and billions of executions each month requires more than powerful tooling. It demands an architecture built for autonomy, governance, and continuous execution.
The metrics above are the outcome of deliberate platform design choices that allow AI to move from experimentation into production. That is where SnapLogic differentiates.
From experimentation to controlled autonomy
Enterprise AI succeeds or fails on three fundamentals: architecture, execution, and governance. SnapLogic was built to address all three together, enabling enterprises to move from pilot projects to production safely and confidently.
- Architecture: A modern, open foundation for agent interaction, enabling interoperability across systems and LLMs while avoiding lock-in.
- Execution: Reliable operations across systems and workflows, accelerated with an integration copilot, SnapGPT, which allows teams to build, explain, validate, and document pipelines through natural language while maintaining oversight.
- Governance: Built-in controls with AgentCreator 3.0, Agent Visualizer and Prompt Composer, make agent decisions transparent, testable, and auditable before deployment.
Outcome: AI that scales without fragility, operates with accountability, and accelerates enterprise innovation.
Modernization and data lineage
Scaling AI also requires a modern, governed foundation. Legacy systems and incomplete visibility can slow innovation and increase risk for autonomous workflows. SnapLogic solves this with:
- SnapLogic Intelligent Modernizer (SLIM): automates legacy migration using agentic AI, targeting up to 80% reductions in time and cost, enabling retirement of obsolete systems without operational disruption.
- OpenLineage standardization: ensures every data movement and agent action is traceable and auditable, integrating with platforms like Collibra and Alation and positioning pipelines as first-class assets in the enterprise data mesh.
Outcome: Enterprises can modernize aggressively while maintaining governance, transparency, and control, creating a production-ready foundation for autonomous systems.
The bottom line
Success with AI is not about its potential; it’s about operational reality. The numbers tell that story clearly: enterprises are already running hundreds of thousands of active pipelines, making billions of API calls, and processing trillions of documents, every month, through SnapLogic.
This massive scale is possible because our platform systematically solves the three problems that determine whether AI scales beyond a pilot:
- Architecture without lock-in
- Execution without fragility
- Autonomy without risk
This is the difference between experimenting with AI and running the enterprise on it.
SnapLogic is no longer just integrating systems. It is operating the Agentic Enterprise, providing the foundation needed to move faster without sacrificing control, governance, or architectural integrity.
To see it in action, request a demo today.
