Best Artificial Intelligence Software for Epicor CRM

Find and compare the best Artificial Intelligence software for Epicor CRM in 2026

Use the comparison tool below to compare the top Artificial Intelligence software for Epicor CRM on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Rayven Reviews
    Top Pick
    Most organisations already have the data. The problem is it sits in disconnected systems - ERPs, databases, SCADA, IoT devices, files, and APIs - and nobody has built the layer that ties it all together in real-time. AI makes this worse. Models need clean, integrated, multi-source data to work. Most data environments are not ready. 95% of AI projects never reach production. Rayven builds that layer. It connects IT, OT, IoT, cloud systems, files, data streams, APIs, and proprietary protocols into a single managed data platform - then executes automation, AI models + agentic AI directly on live data. Five unified layers: integration (600+ connectors, bidirectional, real-time), data (processing, storage, AI-ready structuring), execution (automation, AI models, and agentic AI), presentation (custom apps, dashboards, and conversational interfaces), and security, governance + hosting (role-based access, audit trails, and data residency - built in as standard). What gets built on top: custom software, AI agents, predictive analytics, field applications, workflow automations, dashboards, and portals - all from one platform with no external tooling required. Serves businesses from growth-stage to enterprise across 24+ industries globally. Delivery: DIY, Done-For-You (fixed scope, fixed price, two to 12 weeks) + Hybrid. More than 600 pre-built connectors. Ten native AI capabilities. More than 240 deployments live. Rated 5/5 across more than 140 independent reviews.
  • 2
    Kognitos Reviews
    Create automations and handle exceptions using simple, intuitive language. With Kognitos, you can seamlessly automate tasks involving both structured and unstructured data, manage large volumes of transactions, and navigate complex workflows that often pose challenges for conventional automation solutions. Traditionally, processes that deal with exceptions, such as those requiring extensive documentation, have presented significant hurdles for robotic process automation due to the extensive initial work needed to incorporate exception management. However, Kognitos revolutionizes this by empowering users to instruct automation on how to address exceptions through natural language communication. This approach mimics the way we would naturally teach each other to solve problems and manage anomalies, using intuitive prompts that keep humans at the helm. Now, automation can be refined and developed much like training a human, utilizing shared experiences and practical examples to enhance its capabilities effectively. This innovative method not only simplifies the automation process but also fosters a collaborative environment where users feel more engaged and in control of the technology.
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