Sapiens International Corporation is a firm specializing in the digital transformation of the financial sector, particularly insurance. With four decades of industry knowledge, Sapiens provides a robust insurance platform equipped with pre-integrated, low-code solutions and a cloud-based approach to expedite digital transformation. The solutions encompass an extensive range from core to complementary aspects including Reinsurance, Financial & Compliance, Data & Analytics, Digital, and Decision Management. The operations of Sapiens span across North America, the United Kingdom, EMEA, and Asia Pacific, serving customers in 30 countries.
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It enables business analysts to manage 90% of the logic changes independently. The built-in testing unit allows us to run bulk test cases and test overlays.
My favorite thing about Sapiens Decision is its flexibility in offering rule-based solutions. Problems can often be solved in multiple ways and we're able to choose based on the situation.
Leadership in the decision rules technology space from a marketplace standpoint and a standards body standpoint (see its engagement with OMG for the DMN standard for decision modeling). A solid, well-vetted, innovative, and frequently briefed technology roadmap. Strong customer support for more complex uses of the stack. Easily deployable as SOAP- or REST-style services.
UI clutter with irrelevant items can get stuck in the interface. Navigating the various modules can be daunting for new users.
There are occasional errors that occur which require us to refresh the app. There are occasional times where tasks can get stuck and stay in limbo. While we can work around this, we do have a few irrelevant tasks that clutter the UI on a couple of screens. Product version updates (admin) can be difficult at times. There are add-ons that require the application to run in our environment which I don't always remember to request.
Integrate.AI component uses a flat inbound payload in its current form, which is usable for only simple calls to knowledge models (e.g., AI models exposed as services), reducing its current utility while still holding forth the ability to support more complex and Agentic AI-like uses in the future. PAM component's integration as a CSV file that updates a SQL table is clugy, but is improving.
