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Enterprise Grade Decision Engine

Enterprise Grade Decision Engine

Driving Growth and Creating Efficiency with an Enterprise-Wide Strategy

Top-tier financial institutions are facing pressure to reduce their IT costs while at the same time delivering new digital solutions faster. Now is the time to strategize and implement tactics for a modernized, enterprise-wide decision engine.  Companies that have fully adopted this transformation of breaking siloes between business lines are cutting costs while improving productivity, gaining increased awareness and control over processes, and providing greater customer experiences.

Table of Contents

Benefits of Operating Across the Enterprise
Critical Organizational Challenges
Your Partner in Transformation
Enterprise Solution Graphic

Benefits of Operating Across the Enterprise with a Unified Decision Engine

  • Avoid costly data acquisition pitfalls and use the best available data across all product lines
  • Configure policies for new and expected fraud threats once and deploy across all product lines
  • Share data connections, rules, logic, workflows, and reports across the enterprise by pulling in components from a centralized location
  • Establish consistent governance strategies to ensure data protection and regulatory compliance
  • Attain a singular customer view across all lines of business for better decision making
  • Collaborate cross-functionally across the enterprise

Benefits of Operating Across the Enterprise with a Unified Decision Engine


  • Avoid costly data acquisition pitfalls and use the best available data across all product lines
  • Establish consistent governance strategies to ensure data protection and regulatory compliance
  • Configure policies for new and expected fraud threats once and deploy across all product lines
  • Attain a singular customer view across all lines of business for better decision making
  • Share data connections, rules, logic, workflows, and reports across the enterprise by pulling in components from a centralized location
  • Collaborate cross-functionally across the enterprise

Critical Organizational Challenges a Decision Engine Helps Overcome

Enterprise-wide architecture transformation is not only about integrating new technologies into an organization’s operations—it requires a holistic shift in how your business operates, engages with customers, and delivers value. All of which are challenges that the right partner can help you overcome.

Unifying a Mountain of Data and Policies

A graphic of a mountain showing the vast amount of internal data, external data, and policies of a siloed decision engine solution.
Zoot’s decision engine can centralize credit, fraud, risk policies, business rules, and data across all lines of business, building a win-win strategy. Breaking down data silos enables different lines of business to more thoroughly understand their customers and deliver positive experiences. Moreover, your customers get the benefit when you have the full picture of their relationship within your organization.

Aligning Priorities and Business Needs

A centralized enterprise approach enables organizations to synchronize strategic objectives with operational execution tactics. WebRules® Builder and Live up level business performance and create functional improvements to align with organizational strategy. This support makes a significant contribution across the enterprise, and corresponds with the business needs.

Gaining Independence and Flexibility

Zoot’s WebRules® Builder supports the unique needs of each line of business by providing the flexibility to independently develop and implement rules, logic, and workflows, including enterprise-level capabilities.  Each team can manage and make updates that align directly with their specific requirements and schedules.

Organizational Change

By adopting an enterprise decision engine architecture and embracing new technologies, tools, and processes, teams can improve organizational performance, streamline training, and ensure everyone is on the same page with fewer delays in execution.

Inefficient & Costly: Siloed and Disconnected Data & Decisioning

Typical finance organization with siloed LOBs pulling the same data multiple times.

Risk Control

An enterprise-wide decision engine model allows for greater transparency, centralized documentation, and enhanced risk controls while providing full auditability. One of the biggest benefits is eliminating constraints and providing you with a picture of the entire population of data, enabling better audit & analysis for anomalies, trends, and areas of risk.

Choosing the Right Strategic Partners

Zoot’s strategic partnerships are mutually beneficial relationships that help our client’s businesses grow at reduced costs. We provide the best, most reliable, scalable and secure transactions by innovating and implementing tools to configure services that create solutions. WebRules® Builder has been developed to use within your own organization, providing precise control over data acquisition, attribute definition, business policy and rules, and data extracts.  Zoot’s WebRules® Live processing environment is resilient, secure, and scaled to meet your entire enterprise’s processing needs. This combination unlocks your full potential and expands your customer base, overall reach, and service functionality.

Zoot – Your Partner in Transformation

Holistic collaboration, driven by a market-leading, enterprise-grade decision engine, propels holistic value. Zoot works with you as a partner to make your enterprise-wide transformation seamless.

There are multiple strategies for achieving enterprise transformation. Zoot works closely with your team to determine the optimal approach. We take into account your distinct business processes, customers’ experiences, operations, timeline, and more to uncover the best strategy.

Starting with a Strong Foundation: Creating a Common Data Set

Achieve a more holistic and accurate view of consumers by standardizing APIs, third party data providers, attribute calculations and extract data formats. Common data can be accessed and distributed across all lines of business, optimizing your consumer data picture. This enables the enterprise to create a holistic, single view of the customer to enhance customer experience as well as streamline data analysis for future models and policy use.

Pathways to Enterprise Collaboration: Leveraging Libraries

WebRules Builder provides libraries to enable clients to build common workflows, attributes, rules, business logic, and policy that can be leveraged by teams in different lines of business by importing them from the centralized library. With this approach, each line of business can independently manage their platform updates and plan release cycles that meet each line of business’ needs.

Full Spectrum Control & Flexibility: Enterprise Service Layer

Enterprise management and control of standard policies across compliance, fraud, common third party data acquisition, and attribute calculation is achieved by centralizing these functions within an enterprise service layer to control data acquisition costs and mitigate overall risk. All transactions flow through an enterprise-level decision engine prior to execution of an individual line of business platform’s logic. Individual lines of business can independently manage their unique logic, additional data acquisition, and specific release cycles, creating a win-win scenario for all organizations.

The Efficient Approach: Enterprise Connected Data & Decision Engine

Diagram of a enterprise grade decisioning solution across multiple LOBs with a common decision engine.

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