Relevance Lab’s focus on addressing the Digital Transformation jigsaw puzzle has a strategic investment in leveraging Products & Platforms to create a unique differentiation and competitive advantage.
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Relevance Lab’s focus on addressing the digital transformation jigsaw puzzle has a strategic investment in leveraging Products & Platforms to create a unique differentiation and competitive advantage. We are a specialist cloud, DevOps, automation, and analytics services company with an IP (Intellectual Property) led technology strategy. This helps our customers achieve frictionless business outcomes by leveraging cloud across their infrastructure, applications, and data.
We optimize IT spending with smart cloud workload migration, reducing ongoing operations costs by leveraging automation & governance, speeding up innovation in the delivery of new software products with Agile & DevOps, and getting key real-time business insights with Actionable Analytics.
The key platforms and playbooks that we have are the following:
RLCatalyst provides an “Automation-First” approach for Enterprise Cloud Orchestration across “Plan, Build & Run” lifecycle, leveraging our unique IP. A pre-built library of quick-starts, BOTs and Open source solutions helps customers use Cloud “The Right Way” focused on best practices like “Infrastructure as Code” and “Compliance as Code”. We also have unique specialization on AWS and ServiceNow platforms leveraged to provide Intelligent Cloud Operations & managed services with our ServiceOne platform covering workload migration, security, governance, CMDB, ITSM, and DevOps.
SPECTRA provides a Digital and Agile Analytics platform that helps build enterprise data lakes and Supply Chain analytics with multiple ERP systems connectors (SAP, Oracle, Dynamics, JDE, etc.). It also provides a smart-document search engine for Google-like features on enterprise digital documents (images, PDF, engg drawings, etc.). We leverage the Digital platforms for Frictionless Application modernization and Cloud Product Engineering services extending across platforms covering content, commerce, CRM, and supply chain (Adobe, Shopify, SFDC, Oracle Fusion, Azure PowerApps, Services & ADF) integrated with actionable insights from SPECTRA.
The figure above explains our company’s focus in driving frictionless IT and business operations leveraging these key platforms. The focus on a “coded business model” that the platforms deliver help us engage across the full lifecycle with customers covering the following stages:
Assess the key customer needs as each customer has a unique model we evaluate based on 3C’s (Culture, Content & Constraints)
Standardize the internal systems, processes, engineering practices, and governance
Automate everything repetitive impacting speed, costs, quality, and compliance
Accelerate the achievement of business objectives with faster software delivery, better operational excellence, and real-time Agile Analytics
RLCatalyst Platform and ServiceOne Solution
RLCatalyst is an intelligent automation platform built with DevOps, Cloud, and Automation features covering infrastructure, applications, data, and workflows. RLCatalyst common services foundation is built using an open architecture in line with the industry standards and can be customized. On top of the foundation services, a set of specialized products, solutions, and services are created to cover the specialized needs of customers. Following are a few key foundation themes for RLCatalyst:
Built on Open-source products to provide flexibility and scalability for hybrid cloud deployments
Uses “Infrastructure as Code” best practices and DevOps standards covering CI/CD, end to end monitoring, and orchestration
The platform is built to have a UI Portal front-end, Node.JS API-based backend, integration layer for executing BOTs, and database layer based on NoSQL
The core concept uses a “self-aware” paradigm to embed dynamic configurations, end to end monitoring, and dynamic CMDB to enable smart operations using other ITSM and Cloud platforms
The Cloud Portal drives self-service models of DevOps and can be customized to add domain-specific business rules for customers or industry type
There is “Compliance as Code” embedded into the design to make sure customers can be aligned with well-architected principles
The platform is built on top of AWS and ServiceNow ecosystem but can also be deployed on-prem or other cloud platforms
The solutions are pre-integrated with other popular DevOps and Cloud tools like Docker, Chef, Anisible, Terraform, Jenkins, ELK, Sensu, Consul, etc
The platform comes with a pre-built library of BOTs and Quickstart templates
The combination of RLCatalyst and ServiceOne integrated solution provides an intelligent automation architecture, as explained in the figure below. The key building blocks are:
Discover the underlying assets, health, costs, vulnerability, security, and compliance.
Automate using a framework of BOTs built with self-aware intelligence covering tasks, workflows, decisioning, and AI/ML algorithms.
Resolve at speed all service management tickets and requests with complex workflows & integration across multiple systems
SPECTRA Platform and Business Process Automation
SPECTRA, the AI-driven Analytics platform from Relevance Lab, based on Open Source technology, can fast track your journey from data to actionable insights. It can process data from structured data from different ERP Systems based on pre-existing adapters and unstructured data from PDFs, Emails, engineering drawings, and commercial labels. Every organization has invested in a combination of tools, technologies and solutions to create their Data platforms. However, most of these platforms are built with legacy technologies or fragmented components. When companies try to leverage the new technologies of Big Data, Cloud Architectures and Artificial Intelligence to achieve more meaningful Analytics a pre-built Platform like SPECTRA can save tremendous efforts, costs and time to provide a scalable and flexible alternative.
Similar to the RLCatalyst IT Optimization we leverage SPECTRA Platform for Business Optimization with Agile Analytics, as explained in figure below.
We have also leveraged SPECTRA Platform and UiPath Integration to Achieve business process hyper automation, as explained briefly below.
Customer Impact with RL Playbooks for IT and Business Transformation
Relevance Lab leverages our strengths in platforms for all our customer engagements to bring out special value on services delivery in areas of:
Cloud Infrastructure Automation
Data Analytics Platforms
Digital Applications and Product Engineering
Intelligent Operations and DevOps
The figure below highlights the value created for some of our key customers.
We have adopted the following maturity model as a specialist technology company with significant investments on competency and IP creation that guides the investments in RLCatalyst and SPECTRA platforms.
Deep Technology Expertise
Continuous learning and skills upgrade on latest/emerging Technologies focus across Cloud, Automation, Analytics, DevOps, Digital
Focus on Certifications – Basic & Advanced
Promoting “Industry Certifications” to benchmark the competencies against the global standards and make this part of every developer’s career enhancement goal
Solutions and Best Practices (Process & Tools)
Focus on customer solutions and recurring use cases to build a knowledge base of best practices across software engineering, operations excellence, business domains
“Codified Knowledge” in the form of Platforms for Data Analytics, DevOps, Cloud & Automation with source code in re-usable formats. Well-Architected Frameworks and leveraging open-source platforms with custom component enhancements & integrations to save effort, time, and improved quality with each new engagement
Prescriptive and pre-created products that customers can use in a “touchless” manner as SaaS or Marketplace offerings like a typical ISV solution with little or no dependency on associated professional services. Major benefit in enabling frictionless jumpstart on specific business problems.
Relevance Lab has made significant investments in creating IT and Business Transformation platforms that provide us a key competitive advantage in unlocking value for our customers across DevOps, Analytics, Cloud, Automation and Digital Engineering. By following a service maturity model that goes beyond just headcount and competencies we have been able to bring the value of platform and products to solve the digital transformation puzzle for our 50+ customers.
The CMS-1500 form is vital to the smooth functioning of the American health insurance system, and yet processing these manually filled-up, paper-based forms can be a nightmare. Relevance Lab has developed a new approach to automating claims processing that improves output quality and delivers cost savings.
CMS-1500 Processing Challenges
The CMS-1500 form, formerly known as the HCFA-1500 form, is the standard claim form used by a non-institutional provider or supplier to bill Medicare carriers under certain circumstances. Processing these important documents presents several challenges:
Large volume of information: A single form has 33 fields (plus sub-fields) to be filled up manually; multi-page claims are required if more than 6 services are provided.
Illegible handwriting: Since the forms are filled manually (and often in a hurry), it is quite common to find illegible or difficult to read entries.
Incomplete or inconsistent information: Fields are often missing or inconsistent (e.g. multiple spellings of the same name), complicating the task.
Poor scan quality: The scan quality can be poor due to misorientation of the form, folds, etc., making it difficult to recognize text.
Most users are faced with a Hobson’s choice between costly manual processing and low-accuracy conventional automation solutions, neither of which produce acceptable results. Manual processing can be slow, laborious, fatigue-prone and costs tend to grow linearly with claims volumes, regardless of whether the manpower is in-house or outsourced. Conventional automation solutions based on simple scanning and optical character recognition (OCR) techniques struggle to deal with such non-standardized data leading to high error rates.
Relevance Lab has developed a solution to address these issues and make CMS-1500 claims processing simpler and more cost-efficient without compromising on accuracy.
Relevance Lab’s Smart Automation Solution
Our solution enhances the effectiveness of automation by utilizing artificial intelligence and machine learning techniques. At the same time, the workflow design ensures that the final sign-off on form validation is provided by a human.
An illustrative solution architecture is given below:
Salient features of the solution are as follows:
The solution utilizes the Tesseract open-source OCR engine (supported by Google), which delivers a high degree of character recognition accuracy, to convert the scanned document into a searchable pdf.
Processing & Validation against master data
The document is analyzed using RL’s proprietary SPECTRA platform. Common errors (such as misaligned check-box entries) are corrected, and relevant fields are validated against the master data to catch anomalies (e.g. spelling errors).
Assisted human review
The updated document is presented for human review. Fields that require attention are highlighted, together with algorithm-generated guesstimates suggesting possible corrections.
Automatic update of downstream data
Once approved, downstream systems are automatically updated with validated data.
The iterative self-learning algorithm improves with every validation cycle resulting in continuous refinement in accuracy. This improvement can be tracked over time through built-in trackers.
The solution is equipped with dashboards that enable tracking the progress of a document through the cycle.
It is possible to enable role-based access to different modules of the system to ensure data governance.
The following diagram presents a typical process flow incorporating our solution:
Our CMS-1500 processing solution delivers significant time and cost savings, and quality improvements. It frees up teams from tedious tasks like data entry, without compromising human supervision and control over the process. The solution is scalable, keeping costs low even when processing volumes increase manifold.
The solution is tried, tested, and proven to deliver substantial value. For example, in a recent implementation at a renowned healthcare provider, the Relevance Lab SPECTRA solution was able to reduce the claims processing time by over 90%. Instead of a dedicated team working daily to process claim forms, manual intervention is now required only once a week for review and approvals. The resources freed up are now more productively utilized. This has also led to an increase in accuracy through the elimination of “human errors” such as typos.
Powered by the RL SPECTRA analytics platform, the solution has successfully delivered productivity gains to multiple clients by efficiently ingesting and processing structured and unstructured data. The plug-and-play platform is easy to integrate with most common system environments and applications.
CMS-1500 claims processing can be significantly optimized by using Relevance Lab’s intelligent solution based on its SPECTRA platform that combines the speed and scalability of automation with the judgment of a human reviewer to deliver substantial productivity gains and cost savings to organizations.
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