Introduction In today’s data-driven world, organizations are inundated with information from every corner of their operations—customer interactions, market trends, regulatory updates, and emerging risks. Turning that raw data into timely, consistent decisions is a growing challenge. Decision Intelligence Platforms (DIPs) promise to orchestrate analytics, AI, and human judgment into a cohesive decision-making framework. Yet at […]
Enterprise teams constantly balance speed with control. When high-stakes workflows or regulated processes are involved, decision-making must be both fast and flawless. Decision automation meets this challenge by turning business logic into scalable action, executing policy with speed, consistency, and full traceability. Organizations across industries are already using this approach to drive accuracy and agility […]
In today’s hyper-competitive environment, organizations must make smarter, faster decisions to stay ahead. Decision Intelligence (DI) unifies data, analytics, AI, business rules, and process automation into a cohesive discipline that drives measurable business outcomes. By explicitly modeling how decisions are made and continuously improving that process enterprises gain a significant edge in responsiveness, compliance, and […]
Intelligent decisioning is no longer a bolt-on innovation, it has become the engine of enterprise transformation. By combining advanced analytics, machine learning, business rules, and automation, organizations can deliver decisions that are faster, smarter, and more adaptive to real-time context. In a business environment defined by speed, personalization, and regulatory complexity, this capability is no […]
Decision automation software is essential business infrastructure. As organizations scale and data becomes central to every process, the need for swift, policy-aligned decisions has never been greater. Whether you’re validating transactions, detecting fraud, or optimizing pricing, automation ensures consistency, compliance, and clarity. But this raises a pivotal question: Should your team build a custom decision […]
AI is fundamentally reshaping how decisions are made across the enterprise. From fraud detection to supply chain management, organizations are leveraging data-driven automation to operate with greater speed, accuracy, and scale. But as AI adoption grows, so do expectations for decisions to be not only fast, but also explainable, compliant, and aligned with business goals. […]
In today’s fast-moving, compliance-driven business environment, organizations must make decisions swiftly and precisely at scale. Many of these decisions—such as approving a claim, pricing a product, or validating a transaction—are subject to intense scrutiny, requiring auditability, transparency, and regulatory alignment. At the same time, business leaders must be able to respond rapidly to changing market […]
In this three-part blog series, we’ll explore the performance impact and key benefits of Decision Intelligence as well as the most common use cases in the industry. Decison Intelligence platforms automate complex decisions using machine learning, process automation, and a business rules engine. We’ll begin in this article with an overview of the impact of […]
The insurance industry has been known for tedious, manual underwriting processes. However, with the rise of digital technology, the underwriting landscape is rapidly changing, and automated underwriting in insurance is emerging as a critical innovation. As a vendor involved in developing and implementing rule engines, InRule has seen firsthand how automated underwriting can transform operations, […]
Cost Savings and Business Benefits Enabled by InRule InRule engaged with Forrester Consulting in a commissioned study to discover the true value of our no-code, integrated AI decisioning platform. The new report, The Total Economic Impact of InRule, reflects data collected from directly interviewing six customers across the insurance, financial services, healthcare and manufacturing sectors. […]
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