Connect AI to the Systems that Run your Business

Build secure, scalable AI workflows across Salesforce, SAP, Workday, and beyond,  powered by SnapLogic and custom AI engineering.


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    AI is only valuable when it’s connected to enterprise systems.

    Data silos

    AI isolated from the systems where work actually happens. Great insights, no way to act on them.

    Manual handoffs

    Copy-paste between AI outputs and business systems. Human bottlenecks in automated workflows.

    Security concerns

    Exposing sensitive data through uncontrolled connections. Shadow IT risk in every department.

    AI that plugs into everything you already use

    AI-Enhanced Pipelines

    SnapLogic flows with embedded AI processing. Transform, enrich, and route data intelligently.

    Code Review AI

    Automated quality checks on integration code. Catch issues before they reach production.

    System Connectors

    Pre-built adapters for enterprise platforms. Salesforce, SAP, Workday, and hundreds more.

    Orchestration Layer

    Coordinate AI and traditional automation together. One platform for hybrid workflows.

    Documentation that writes itself

    Pete auto-generates Confluence documentation for your SnapLogic projects. From click to comprehensive docs in under a minute, no more manual documentation bottlenecks.

    Easy Export & Documentation: Instantly generate detailed SnapLogic project documentation, including dependency diagrams, in PNG, CSV, and PDF formats with predefined retention periods.

    Automated Compliance: Integrate Pete into your CI/CD workflows to automate documentation, versioning, and retention, closing compliance gaps.

    Security at Every Step: Pete’s AI-powered code review checks 27+ metrics for code quality, maintainability, and security, reducing risks.

    Streamlined Auditing: Automatically track project elements, like accounts and tasks, and access audit-ready reports with ease.

    Integration implementation

    1

    Systems Mapping

    Inventory touchpoints and data flows across your stack

    2

    Architecture Design

    Define integration patterns and security model

    3

    Pipeline Development

    Build connectors with AI enhancement capabilities

    4

    Governance Setup

    Monitoring, logging, and access controls in place

    Our Success Stories

    Integration outcomes

    0 %

    Reduction in documentation time

    0 %

    Faster pipeline development

    Zero

    Manual handoffs in automated flows

    Where should AI connect in your stack?

    Integration architecture session. Map AI touchpoints and plan the connection strategy.


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