AUTOMATING RULEX-BASED OPERATIONAL DECISION

As companies undergo digital transformations, rule-based operational decisions may be made by people or, increasingly, machines or computers – call them digital decisions. These decisions need to be made accurately, because the quality of the decisions affects business outcomes. 

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WHAT ARE RULE-BASED OPERATIONAL DECISIONS? 

They are the everyday business decisions – hundreds or thousands per day – that make businesses run. Operational decisions are part of the routine, frequent tasks in standard process workflows such as approvals, responses to queries, choosing among options, and commands to perform a function. 

As companies undergo digital transformations, rule-based operational decisions may be made by people or, increasingly, machines or computers – call them digital decisions. These decisions need to be made accurately, because the quality of the decisions affects business outcomes. 

Perhaps most importantly, the rules that decisions are based on are always changing because the way the business runs is always changing. Intelligent process automation platforms can help you keep up. 

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 DECISION AUTOMATION 

BENEFITS OF DECISION AUTOMATION

The Rulex Digital Decision platform automatically produces optimized business rules for operational decisions that predict the best outcome, bringing benefits including: 

  • Dramatically reduced process flow time – from days or weeks to minutes or hours
  • Fewer errors in business process execution – decision automation platforms make decisions based on your business rules, the same way every time
  • The elimination thousands of person-hours from decision tasks, which frees up employees for more strategic and rewarding work
  • Breakthrough IoT applications at low cost – decision automation at the IoT edge makes all sorts of apps possible, from predictive maintenance to automated event response

 

RULEX DELIVERS RAPID TIME TO VALUE 

Using Rulex’s intuitive drag-and-drop software, existing business, process, and data experts can easily automate operational decisions – with no need for skills in data science, mathematics, statistics, or programming. Rulex simplifies data preparation, automates predictive modeling, and enables the easy integration of Rulex AI with existing business applications and processes.

Due to its ease of use and high degree of automation, the Rulex AI Digital Decision platform provides the shortest time to business value, typically enabling companies to go from proof-of-concept (PoC) to pilot to production in just a few months. 

 AI APPLICATIONS  WORKSHOP

Rulex delivers far faster time-to-value and has a higher project success rate than other Artificial Intelligence solutions. The journey from concept to production comprises four simple steps: 

  1. It starts with Decision Targeting, where Rulex experts help operational personnel define the decisions involved in the process to be automated and identify the data the Rulebot will use to make those decisions. This business modeling exercise typically takes only a few weeks, sometimes only days. 
  2. In the Proof of Value phase, Rulex helps operational analysts construct, test, and refine the Rulebot to demonstrate its accuracy and effectiveness in making predictions and decisions. It’s an iterative, consultative process where Rulex experts help Rulebot authors select the best data manipulation, communications, and output strategies. In most cases, Proof of Value takes 4 to 6 weeks.
  3. Next is the Live Trial phase, where the Rulebot is applied to live data and the decisions it makes are compared to those a human would make. 
  4. In the final phase, Production, the Rulebot and Rulex software performs process automation. They take on tasks once performed by humans, freeing them up for more strategic work. 

 AI APPLICATIONS  WORKSHOP

RULEX DELIVERS RAPID TIME TO VALUE 

Using Rulex’s intuitive drag-and-drop software, existing business, process, and data experts can easily automate operational decisions – with no need for skills in data science, mathematics, statistics, or programming. Rulex simplifies data preparation, automates predictive modeling, and enables the easy integration of Rulex AI with existing business applications and processes.

Due to its ease of use and high degree of automation, the Rulex AI Digital Decision platform provides the shortest time to business value, typically enabling companies to go from proof-of-concept (PoC) to pilot to production in just a few months. 

Rulex delivers far faster time-to-value and has a higher project success rate than other Artificial Intelligence solutions. The journey from concept to production comprises four simple steps: 

  1. It starts with Decision Targeting, where Rulex experts help operational personnel define the decisions involved in the process to be automated and identify the data the Rulebot will use to make those decisions. This business modeling exercise typically takes only a few weeks, sometimes only days. 
  2. In the Proof of Value phase, Rulex helps operational analysts construct, test, and refine the Rulebot to demonstrate its accuracy and effectiveness in making predictions and decisions. It’s an iterative, consultative process where Rulex experts help Rulebot authors select the best data manipulation, communications, and output strategies. In most cases, Proof of Value takes 4 to 6 weeks.
  3. Next is the Live Trial phase, where the Rulebot is applied to live data and the decisions it makes are compared to those a human would make. 
  4. In the final phase, Production, the Rulebot and Rulex software performs process automation. They take on tasks once performed by humans, freeing them up for more strategic work. 

 RULEX MAKES  DECISION AUTOMATION SIMPLE – WITH RULEBOTS 

Existing business and process experts, as well as business solutions providers use the no-code Rulex platform to create decision-specific AIs called Rulebots, which can be deployed on-premises, in the cloud, or on low-cost, low-power IoT edge devices.

Rulex Rulebots:  

  • Use logic, not math, to solve problems and make decisions
  • Continuously learn from new events and new information
  • Validate and assimilate legacy human rules
  • Process huge data volumes on small server instances and PCs
  • Make autonomous decisions on IoT edge devices

 

Rulebots make AI accessible to the businesspeople and process experts who are closest to the operational decisions processes that need to be optimized or automated. There’s no need to rely on data scientists to interpret requirements, and Rulebot DevOps is simple. 

Businesspeople create Rulebots using the drag-and-drop visual desktop software, the Rulebot Factory, following a simple process: 

  • Import various types of historical data that are relevant to the process
  • Use that data to automatically create predictive conditional logic rules
  • Integrate existing or new human-written rules as needed
  • Automatically rate all rules against historic data to select the ones with the greatest relevance and accuracy
  • Select the optimum decision logic rules and integrate them with applications and procedural processes

RULEBOTS

 EASY TO CREATE AND USE 

RULEBOTS

 EASY TO CREATE AND USE 

Rulebots make AI accessible to the businesspeople and process experts who are closest to the operational decisions processes that need to be optimized or automated. There’s no need to rely on data scientists to interpret requirements, and Rulebot DevOps is simple.

Businesspeople create Rulebots using the drag-and-drop visual desktop software, the Rulebot Factory, following a simple process:

  • Import various types of historical data that are relevant to the process
  • Use that data to automatically create predictive conditional logic rules
  • Integrate existing or new human-written rules as needed
  • Automatically rate all rules against historic data to select the ones with the greatest relevance and accuracy
  • Select the optimum decision logic rules and integrate them with applications and procedural processes

 RULEX RULEBOTS USE CASES 

Rulex Rulebots can accelerate digital transformation across many applications and vertical industries. Examples include: 

Insurance claims fraud: By examining historic records of fraudulent and non-fraudulent claims, the Rulex digital decision platform can automatically build rules that, when applied to new claims, will quickly identify those that show attributes indicating fraud, including the reasons fraud is suspected. Armed with this information, even a junior investigator can make expert choices on how to approach each claim.

Internet of Things (IoT) / Water utility: While other IoT artificial intelligence solutions run on large, centralized servers or costly edge hardware, Rulex process automation models are lightweight enough to run on small computers or even chipsets on edge devices or gateways. A large metropolitan water utility is using Rulex to analyze signal inputs from 27 pumping stations to predict quality of service and energy demand, and take appropriate control actions to maintain proper QoS. 

 

Finance: Financial institutions use Rulex to deal more effectively with non-performing loans by automating decisions concerning legal resources, recovery probability, and case prioritization.

Supply chain/ERP automation: One of the world’s largest manufacturers is using Rulex for digital decision automation across its supply chain, eliminating numerous costly manual tasks and optimizing supply and distribution decisions.

Customer attrition warning: Enterprises in several vertical industries are using Rulex to predict customer attrition. Rulex decision logic tools identify warning signs of customer churn, enabling companies to take appropriate sales actions to address issues and prevent churn. 

Data input correction: Companies in various industries are also using Rulex’s Robotic Data Correction™ solution to save tens of millions of dollars in auditing labor and problem resolution by automatically correcting data entry errors before they impact operations.

 

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