A/B testing
Comparing multiple versions of a rule or decision path under real-world conditions to determine which performs better. Decisions allows A/B testing directly in the platform without needing external tools or exports.
Comparing multiple versions of a rule or decision path under real-world conditions to determine which performs better. Decisions allows A/B testing directly in the platform without needing external tools or exports.
A form of AI designed to take initiative, pursue goals, and make decisions autonomously within defined boundaries. Agentic AI in the Decisions context refers to intelligent agents that can act on behalf of users, continuously learn from interactions, and dynamically adapt flows, rules, or responses based on real-time data and user context.
An iterative approach to software development and process design that emphasizes short cycles, continuous feedback, and collaborative improvement. In Decisions, Agile methods are supported by rapid prototyping, version control, and the ability to deploy changes incrementally across flows, rules, and forms.
An iterative approach to software development and process design that emphasizes short cycles, continuous feedback, and collaborative improvement. In Decisions, Agile methods are supported by rapid prototyping, version control, and the ability to deploy changes incrementally across flows, rules, and forms.
The use of artificial intelligence to support and accelerate the development of software and automated processes. In the context of Decisions, AIAD can include features like auto-generating rule logic, suggesting flow steps, or analyzing existing processes to identify optimization opportunities—all aimed at reducing manual effort and improving speed to deployment.
The use of flexible rules, workflows, and data integrations to underwrite niche or complex insurance policies. Decisions supports real-time adaptability to unique risks and evolving regulations, enabling faster and more accurate underwriting without sacrificing control.
A publicly accessible library of Decisions pre-built applications available for exploration or use.
A defined interface allowing external systems or clients to interact programmatically with Decisions workflows, forms, or decision services via REST/SOAP.
AI is focused on building systems capable of performing tasks that typically require human intelligence—such as recognizing patterns, learning from data, or making decisions. In Decisions, AI capabilities can be used to enhance automation, improve decision-making, and analyze unstructured data.
The use of software or systems to execute tasks without manual input, based on predefined logic and business rules. In Decisions, automation enables organizations to streamline repetitive or complex processes—driven by rules authored by subject matter experts—to improve speed, accuracy, and scalability.
The creation and management of server-side components that power applications behind the scenes. In Decisions, this includes the logic, data handling, and system integrations that support process execution—distinct from the user interface (front-end) users interact with.
An IT strategy that separates operations into two tracks: one focused on maintaining reliability and performance of core systems, and another focused on agility, experimentation, and rapid delivery. Decisions supports both modes by integrating with legacy systems while enabling flexible, low-code innovation.
The coordination of decision rules, workflows, and data across systems to ensure consistent outcomes throughout a business process. In Decisions, business logic orchestration is achieved through visual rule design, centralized logic management, and real-time execution across applications.
A category of software platforms that enable enterprises to automate and coordinate complex business processes across systems, teams, and data sources. Decisions fits within the BOAT framework by serving as a centralized platform for building, managing, and scaling rule-driven automation and orchestration.
The practice of analyzing and improving business processes for greater efficiency and effectiveness. Decisions enables BPO through automation, real-time decisioning, and process mining.
A methodology and set of tools to model, analyze, and automate end-to-end business processes. Decisions provides BPM capabilities through its low-code design environment.
A platform that defines, deploys, monitors, and maintains decision logic. Decisions functions as a BRMS with visual rule design and version control.
A way of managing unstructured or variable processes that depend on human judgment and context. Decisions supports this through dynamic workflows and rule-driven interfaces.
Orchestrating treatment protocols, prior authorizations, and clinical decisions through rules and flows.
An organization or individual that collaborates with a software vendor to promote, sell, or implement the vendor’s platform or services. In the Decisions ecosystem, channel partners often include solution integrators and consulting firms that extend platform reach and provide localized support.
A non-technical business user who builds applications or automates processes using IT-approved, low-code platforms. Decisions empowers citizen developers through drag-and-drop designers, form builders, and rules editors—without requiring deep coding knowledge.
A secure, self-service web interface that allows customers to access documents, status updates, forms, or personalized data. With Decisions, client portals can be rapidly built and customized to enable secure, rules-driven interactions across industries like finance and insurance.
The delivery of software, data storage, and processing power over the internet instead of on local servers. Decisions supports cloud-native deployments, giving organizations flexibility in scalability, access, and system integration.
The process of transitioning applications, files, or infrastructure from on-premises environments to cloud platforms. Decisions can be deployed in public or private clouds and integrates smoothly with cloud-native tools and services.
Describes applications that are architected specifically for the cloud—leveraging containers, microservices, and dynamic scaling. Decisions supports cloud-native deployments for performance, resilience, and operational agility.
A design approach that enables systems, processes, or applications to be assembled, reassembled, or extended with ease. Decisions supports composability through modular workflows, reusable rule sets, and flexible integrations.
A method of packaging software—including all dependencies, libraries, and configurations—into isolated, lightweight units called containers. In the context of Decisions, containerization enables consistent deployment across environments, A method of packaging software—including all dependencies, libraries, and configurations—into isolated, lightweight units called containers. In the context of Decisions, containerization enables consistent deployment across environments, streamlines scalability, and simplifies integration in DevOps pipelines.
Using technology to enforce regulatory and internal policy adherence. Decisions enables dynamic rule updates and audit trails to reduce risk and improve response to changing requirements.
A development practice where code changes are automatically integrated, tested, and deployed to staging or production environments. Decisions fits into CI/CD pipelines by supporting versioning, testing, and packaging of rules, flows, and configurations.
The automated evaluation of a borrower’s creditworthiness using scoring rules, thresholds, and documentation requirements. Highly relevant to banks, credit unions, and fintechs.
Automating the evaluation of borrower risk using configurable logic and scoring thresholds, often integrated into LOS systems.
A framework that combines decision management, data science, and AI to improve business decision-making. Decisions plays a key role as a rules and workflow hub in decision intelligence architectures.
A discipline focused on automating and optimizing decision-making using business rules and data. Core to the Decisions platform.
A standard notation for modeling and executing decision logic. Decisions supports equivalent visual decision logic but does not require DMN compliance.
The process of applying logic and rules to reach conclusions or outcomes automatically. Enabled in Decisions through its rules engine.
Automation of binder oversight, bordereaux reconciliation, and compliance enforcement under delegated authority models. Designed for Lloyd’s syndicates, Decisions enables real-time rule enforcement, system interoperability, and business-user configurability to support Blueprint Two.
The process of making technology accessible and usable by a wider range of people—beyond IT and development teams—by offering intuitive tools that require little to no technical training. In Decisions, low-code designers and visual workflows empower business users to participate in automation initiatives.
The collective ease-of-use, tools, and workflows that Decisions provides—such as visual designers, debugging, and testing features—to ensure a productive development lifecycle.
Combining business rules, analytics, and data to automate complex decisions. Decisions empowers this through centralized rule sets and simulations.
The ability of individuals and organizations to adapt quickly to new technologies, tools, and platforms—turning change into opportunity. Teams with high digital dexterity are better equipped to adopt Decisions for process optimization and innovation.
An interconnected system of platforms, applications, partners, and data sources that work together to deliver business value. Decisions integrates seamlessly into digital ecosystems by acting as the process and rules orchestration layer.
The act of turning digital transformation strategies into operational reality. With Decisions, digital execution means building workflows, automating rules, and integrating systems across departments—without waiting on traditional development cycles.
The use of new digital tools and technologies to improve processes, enhance customer experiences, and drive new business models. Decisions enables digital innovation by allowing teams to rapidly design, test, and launch custom automation solutions.
The extent to which an organization has adopted digital tools and integrated them into everyday operations. Higher levels of digital maturity correlate with more strategic use of automation, rule management, and scalable workflows—capabilities central to Decisions.
The continuous effort to evolve business operations, services, and culture through technology. Decisions supports digital transformation by enabling organizations to automate, adapt, and scale processes across systems and teams.
The act of converting analog or manual content, processes, or records into digital formats that can be stored, analyzed, and used by software. In Decisions, digitization often includes turning paper-based workflows into automated, rule-driven processes.
The ability for form components to change behavior—such as visibility, requirements, or content—based on user input, role, or real-time data. Dynamic form logic is critical in lending, insurance, and healthcare workflows.
A user who interacts with processes built by developers. They cannot create or edit a process but may interact with the process, e.g., entering data in a form when prompted.
The design and implementation of complex applications tailored for large-scale business environments. Decisions accelerates enterprise development by enabling cross-functional teams to create scalable, integrated apps using visual tools—without relying entirely on code.
A software design model where workflows or processes are triggered in response to system events or data changes. Decisions supports EDA by enabling Event Watchers and real-time logic that responds dynamically across systems.
A method for managing deviations or errors in automated processes. In Decisions, exception paths can be modeled directly into Flows to handle issues like data mismatches or approval rejections.
A sector at the intersection of financial services and modern technology. Fintech companies—ranging from startups to banks—leverage innovations like AI, automation, and real-time data to deliver smarter, faster financial products. Decisions supports fintechs by enabling agile automation, flexible rules management, and seamless integrations with core financial systems.
A visual sequence of logic in Decisions that defines how a process is executed—from data inputs to rules, integrations, and outcomes. Flows are built using drag-and-drop steps and can automate everything from simple tasks to enterprise-scale workflows. They are the foundational building blocks for process automation within the platform.
The core processing component in Decisions responsible for executing workflows, managing step logic, and handling data flow. The Flow Engine ensures that processes run efficiently, whether triggered by a user, system event, or API call—powering everything from simple approvals to complex, rule-driven automations.
The practice of designing systems, processes, or solutions to remain effective as technology and business needs evolve. Decisions helps future-proof operations by offering a flexible, modular platform that adapts to new requirements without needing full-scale rewrites.
AI systems that can create new content—text, images, decisions, or even process steps—based on learned patterns. When used with Decisions, generative AI can assist in writing rules, creating forms, or summarizing case information.
The execution of rules and workflows entirely through APIs or system triggers, without requiring a user interface. Decisions supports headless automation for stateless, high-volume operations like loan decisioning, pricing, and real-time policy validation.
A cloud-based platform that provides a complete environment for building, deploying, and managing applications—with visual tools that enable rapid development and minimal hand-coding. Decisions qualifies as an hpaPaaS by combining rules, workflows, and integrations into a cohesive low-code experience designed for speed and scale.
An IT infrastructure model that blends public cloud services, private cloud environments, and on-premises systems into a unified architecture. Decisions supports hybrid cloud deployments, enabling seamless process orchestration and data exchange across diverse environments.
A strategic approach to scaling automation across an organization by combining technologies like AI, machine learning, RPA, and rules engines. Decisions plays a central role in hyperautomation by acting as the logic and orchestration hub that connects people, systems, and data in real time.
The ongoing transformation in manufacturing and industrial sectors driven by automation, smart technologies, and data connectivity. Also known as the Fourth Industrial Revolution, Industry 4.0 involves IoT devices, robotics, real-time analytics, and AI—all of which can be orchestrated or governed using platforms like Decisions.
The process of connecting Decisions with external systems using mapping to transform and align data structures. Supports REST, SOAP, database connectors, and custom integrations.
An advanced category of BPM software that combines automation with AI, decisioning, and real-time analytics to handle both structured and unstructured processes. Decisions functions as an iBPMS by enabling rules-driven automation, adaptive workflows, and seamless system integration across the enterprise.
A cloud-based service that enables the connection and management of applications, data, and services across different environments. Decisions integrates seamlessly with iPaaS—allowing users to orchestrate workflows and apply business rules across systems connected through platforms like MuleSoft, Boomi, or Azure Logic Apps.
The framework by which an organization aligns its technology strategy with business objectives, ensuring accountability, risk management, and effective use of IT resources. Decisions supports IT governance through role-based access control, versioning, audit trails, and policy-driven rule management.
A regulatory requirement that involves verifying the identity and risk profile of clients. Decisions can automate KYC workflows, validations, and rule enforcement.
An open-source orchestration platform used to automate the deployment, scaling, and management of containerized applications. When running Decisions in a containerized architecture, Kubernetes enables high availability, fault tolerance, and dynamic resource management across clusters.
The practice of upgrading or extending older systems to improve performance, usability, and compatibility with modern technologies. With Decisions, organizations can modernize legacy applications by layering automation, rules, and integrations on top—without needing to replace the core system entirely.
A platform used to manage the end-to-end process of loan application, approval, and disbursement. Decisions can enhance LOS systems with flexible decisioning and real-time automation.
The set of rules, conditions, or expressions that determine how a process behaves or a decision is made. In Decisions, logic is visually defined using flows, rules, and expressions to automate actions, guide outcomes, and ensure consistent execution across systems and workflows.
A development approach using visual tools and minimal coding only when necessary to create applications. Central to Decisions' approach.
A type of artificial intelligence that enables systems to identify patterns in data and make predictions or decisions without being explicitly programmed. Decisions can integrate with ML models to trigger automated actions or enhance decision logic within workflows. Through the Process Mining system, Decisions gives users access to their own ML model.
A software solution that is essential to the core operations of a business—where downtime or errors can lead to severe consequences. Decisions is often deployed in mission-critical environments due to its reliability, scalability, and governance features.
A software design model where all components—user interface, business logic, and data access—are tightly integrated into a single system. In contrast, Decisions enables modular, loosely coupled development that’s easier to scale and maintain.
An IT strategy that uses services from more than one cloud provider to improve resilience, avoid vendor lock-in, or optimize performance. Decisions supports multi-cloud deployment strategies through flexible architecture and cloud-agnostic deployment options.
Multiple servers share the same primary database, but each retains its own file system.
A branch of AI focused on enabling computers to understand and interpret human language. In Decisions, NLP can be integrated to power conversational interfaces or analyze unstructured input.
A digital-first financial institution that delivers banking services exclusively online, without physical branches. Often referred to as challenger banks, neo-banks use modern technologies and APIs to offer streamlined, app-based customer experiences. Decisions supports neo-banks by enabling agile process automation, compliance workflows, and rapid iteration of digital services.
A development method where users create applications using visual tools with no programming required.
A business approach focused on maximizing performance by streamlining processes, minimizing inefficiencies, and continuously improving outcomes. Decisions contributes to operational excellence by enabling organizations to automate, monitor, and optimize workflows and decisions across the enterprise.
A collaborative software development model where the source code is freely available for anyone to view, use, and modify. While Decisions is a proprietary platform, it supports integration with open-source technologies and frameworks through APIs and extensible design patterns.
A company that embeds or white labels another vendor’s software into its own product offering. Decisions is available to OEM partners who want to extend their platform’s capabilities—such as rules management, workflow automation, or process orchestration—while maintaining full brand control and seamless integration.
The integration and coordination of multiple systems and processes into unified workflows—a core function of the Decisions platform.
The digitization and automation of complex HR workflows such as hiring, promotions, terminations, and pay changes. In higher education, Decisions enables PARs to be processed in hours instead of days by allowing HR teams to configure logic while maintaining IT governance.
A standalone tool or application built to solve a narrow, well-defined business problem. While point solutions can be effective in isolation, Decisions provides a unified platform to automate and orchestrate processes across systems—reducing reliance on disconnected technologies.
The core system used by insurers to manage the full policy lifecycle. Decisions can integrate with any PAS to orchestrate rules and extend functionality.
A sequence of tasks and validations that take place after a loan is approved, such as core booking, document indexing, and financial updates. Decisions enables automated orchestration of post-loan workflows to ensure accuracy, compliance, and faster time to funding.
A cloud deployment model dedicated to a single organization, offering enhanced control, customization, and security. Decisions supports private cloud environments, giving enterprises full control over infrastructure, data residency, and governance.
Using technology to automate tasks and processes with minimal human input.
A cloud computing environment where resources are delivered over the internet via providers like AWS, Microsoft Azure, or Google Cloud. Decisions is cloud-agnostic and supports deployment in public clouds for scalability and operational efficiency.
Analyzing system event logs to discover and optimize real-world process behavior. Decisions has a dedicated Process Mining system, giving users the ability to understand how work is being done at a granular level.
A flexible software development approach focused on quickly designing, prototyping, and refining applications based on user feedback. Unlike rigid, linear models, RAD allows teams to iterate rapidly—an approach fully supported by Decisions' visual designers, test harnesses, and modular rule deployment.
A component used to calculate insurance premiums based on risk factors, policy details, and underwriting rules. Often managed by actuaries but increasingly automated with rules platforms like Decisions.
Making automated decisions instantly in response to events or inputs, especially important in underwriting, credit, and claims scenarios.
A natural language processing technique that enhances generative AI by first retrieving context-relevant data from a knowledge base before producing a response.
Modular assets—such as flows, rule sets, data structures, or connectors—that can be applied across multiple processes or applications. In Decisions, reusable components reduce development time, promote consistency, and enable scale by allowing teams to build once and deploy many times.
The use of bots to automate repetitive tasks by mimicking human interaction with software. Decisions can integrate with RPA tools for broader automation.
A piece of logic that defines how decisions are made based on input data. In Decisions, rules can take many forms—such as statements, truth tables, decision tables, or expressions—and are built visually to evaluate conditions, enforce policies, or drive outcomes across workflows. Rules are the core building blocks of dynamic automation within the platform.
The core system that evaluates business logic to drive decision-making within automated processes. In Decisions, the rules engine executes visual, configurable rules in real time—enabling users to control approvals, validations, routing, pricing, and more without writing code. It supports multiple rule types and is designed for scalability, transparency, and ease of maintenance.
The lifecycle management, testing, versioning, and deployment of business rules with oversight and auditability. A core strength of the Decisions platform.
A set of rules designed to be re-used; that is, they can be parameterized or customized based on context without the need to copy or rewrite them.
Automation logic that highlights configuration errors, broken connections, or missing data in real time. In Decisions, workflows and rules validate themselves as they’re built—reducing deployment risk.
Running a new or modified rule behind the scenes alongside the current rule to compare behavior without affecting production. Decisions supports live shadow testing with outcome simulation and version comparison.
A unified dashboard or interface that consolidates information and tools from multiple systems into one cohesive view. Decisions enables SPOG-style visibility by integrating data, processes, and reports across departments into customizable pages and dashboards.
A cloud-based model for delivering applications that are accessed via the internet rather than installed locally. Decisions offers SaaS deployment options that allow users to build, deploy, and scale automated processes without managing infrastructure.
A structured approach to software development, guiding teams through planning, creating, testing, and deploying software. It breaks down the process into phases, ensuring a systematic and organized approach to building high-quality software.
Applications that use real-time data—often from sensors, IoT devices, or external sources—to adapt behavior or trigger automated responses. Decisions can power smart applications by applying logic, rules, and workflow orchestration based on live data inputs.
Running workflows or rules without retaining session or historical data between invocations. Common in scalable, cloud-native deployments and supported in Decisions via decision services.
A fully automated process flow from start to finish with no manual intervention—enabled by Decisions through its rules and workflow orchestration.
The streamlining of student appeals—such as grade disputes, financial aid appeals, and conduct hearings—through rules-based routing, real-time notifications, and digital audit trails. Decisions reduces processing times and improves satisfaction with configurable, trackable workflows.
The trade-off made when delivering software quickly by using shortcuts or less-than-optimal code—often with the intention to refactor later. While it can speed up initial releases, unmanaged technical debt can lead to higher maintenance costs. Decisions helps reduce technical debt by offering a low-code, governed environment that promotes reusable logic and version-controlled updates.
The collection of programming languages, tools, frameworks, and infrastructure used to develop and run software applications. Decisions integrates easily with a variety of technology stacks—allowing it to serve as a process automation layer regardless of what systems are in place underneath.
The use of rules engines and process automation to streamline and standardize the evaluation of risk during the insurance underwriting process.
The overall quality of a user's interaction with a system or application, including ease of use, efficiency, accessibility, and satisfaction. In Decisions, UX design influences how users navigate forms, dashboards, and workflows to ensure processes are intuitive and frictionless.
The visual and interactive layer through which users engage with software. In Decisions, the UI includes forms, dashboards, pages, and control elements—all customizable to match user roles, process requirements, and brand preferences.
A situation where technical limitations, proprietary standards, or cost barriers make it difficult for an organization to switch to a different software provider. Decisions helps minimize vendor lock-in by offering flexible deployment options, open integrations, and rule portability.
The ability to track, compare, and manage changes to rules, workflows, and other components over time. In Decisions, version control is built into the platform—allowing users to roll back to previous versions, test new logic safely, and maintain an auditable change history.
A low-code interface that enables business and technical users to author, test, and deploy rules without writing code. Core to Decisions’ differentiation.
A testing method where rule conditions, logic paths, and data outcomes are evaluated and displayed in real time during design. In Decisions, designers can see passed/failed logic immediately using color-coded feedback.
The embedding of automation capabilities—such as workflows, rule builders, and forms—into another vendor’s product under their own brand. Decisions supports white labeling for OEM partners who want to extend their platform functionality without building automation tools from scratch.
A structured sequence of tasks, decisions, and actions that must be completed to achieve a specific business outcome. Workflows can involve people, systems, data, and approvals. In Decisions, workflows are implemented as Flows—visually designed processes that automate everything from routine operations to complex, multi-system interactions.
End-to-end automation of claims intake, evaluation, routing, and payout using centralized logic and data integration. Decisions enables workers’ comp insurers to speed up resolution, reduce fraud, and maintain regulatory compliance—without custom code.