Case Studies

Real outcomes delivered through our expertise — across industries, technologies, and business transformations.

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Showing 7 of 7 case studies

EnergyTech in UK

Platform Modernization

Engineering R&D

Business Problem

Business need to pivot from DTC to B2B business model requiring enterprise-grade scalability; limited by legacy monolithic architecture, slowing innovation; deployment cycles measured in months, limiting responsiveness to market needs; platform required to scale from 5K to 50K+ IoT devices generating continuous signals; lack of multi-tenant capability for onboarding enterprise B2B customers.

Ryewalk Solution

Re-architect monolithic platform into domain-driven microservices; designed & implemented multi-tenant core architecture to support B2B customer segregation. "Infrastructure as Code" & CI/CD pipelines for automated deployments. Distributed tracing, centralized logging, and metrics-driven observability. Extension of client's technical leadership for architecture governance & roadmap planning.

Impact

  • Reduced release cycles from months to weeks
  • Platform architected to scale beyond 50K IoT devices with high reliability
  • Enabled seamless onboarding of enterprise B2B customers
  • Improved operational visibility and fault isolation
  • Established long-term scalable foundation for B2B growth strategy
Market entryCustomer experienceRevenue upliftOperational efficiencyEnergyTech Platform ModernizationIoT Device ManagementB2B Multi-Tenant SaaS PlatformCloud Transformation

SMB FinTech in US

Zero-to-Scale product development

Engineering R&D

Business Problem

To develop a zero-to-scale Business-Lending platform to address small businesses lending market. Client's platform to serve as key distribution channel for a major bank, to fund customers with loan applications for working capital management & franchise development use cases. Develop foundational infrastructure for business analytics on the finally operational platform.

Ryewalk Solution

End-to-end engineering partner to build client's in-house digital lending platform, integrating seamlessly with COTS loan origination & loan management systems. Intelligent credit risk and loan decisioning through integrations with multiple third-party data providers. Intuitive customer and broker digital portals for enhanced user experience. Centralized enterprise data lake with bronze, silver & gold layers, for governed data consumption (analytics, reporting, compliance and regulatory use cases). Program and product management across COTS partners, external vendors, channel-partner banks and client SME teams, ensuring aligned execution and timely platform delivery. Post go-live product ownership, driving platform stability, continuous enhancement, and long-term business value through a user-centric, design-thinking-led roadmap

Impact

  • Establish entire platform from scratch, enabling client's FinTech business for 2026
  • Set-up foundational capability for client to leverage SBA lending market
  • Enable client business in 6-months accelerated readiness
  • 360-degree support for post-go-live platform ensuring stability of operations & business continuity
New Business launchMarket entryOperational efficiencyRevenue upliftLOSLMSCredit Risk Modeling

EnergyTech in UK

Platform Operations & SRE

Engineering R&D

Business Problem

To provide a resilient & scalable support operating model to sustain service quality as client's IoT device footprint expanded beyond 50,000+ connected devices. Need for a structured L1/L2/L3 support framework to ensure effective incident triage, timely escalation, and clear ownership. Parallel complexity of distributed microservices architecture demanded proactive monitoring, faster root-cause analysis, and accelerated issue resolution.

Ryewalk Solution

Design and operationalize a structured L1/L2/L3 support model. Incident management workflows, SLAs and escalation matrices. Monitoring dashboards & proactive alerting mechanisms. Runbooks, knowledge repositories and RCA frameworks. Embedded Site Reliability practices across DevOps & engineering teams. 24x7 scalable support readiness aligned with B2B customer expectations.

Impact

  • Improved production stability and faster MTTR
  • Clear ownership model for L1/L2/L3 issue resolution
  • Increased confidence for enterprise B2B customers
  • Scalable operational backbone supporting continued IoT growth
  • Transition from project delivery to sustained platform reliability model
Business continuitySolution stabilityTCO efficiencyPlatform OperationsProduction SupportCloud SRE

Legal FinTech in UK

Business functionality launch from CRM

Salesforce CRM

Business Problem

Critical challenges across loan origination (LOS) and loan management (LMS) processes; entirely manual origination process relying on paperwork, emails, and human intervention; lack of standardized workflows or systematic controls. This led to labour-intensive operations, inconsistent decision-making, limited scalability. For loan management, limitation of existing COTS platform increasing complexity of loan products & business scenarios. High licensing and operating costs of legacy systems significantly increased total cost of ownership (TCO). Need for a modern, scalable and cost-efficient lending platform with stronger controls and structured decisioning.

Ryewalk Solution

Custom solution built on top of Salesforce platform to cater to client's loan origination and underwriter requirements. Completed the pending, incomplete works left by previous solution provider.

Impact

  • Reduce TCO by replacing legacy system with scalable solution
  • Increased efficiency for LMS processing
  • Effective reporting & integrated solution with client's existing technology infra/ecosystem
  • Improved internal governance & compliance for loan decisioning & management
Operational efficiencyRevenue upliftCustomer experienceLoan OriginationCRM Sales JourneyLoan Management

Telecom in Finland

CRM legacy modernization and digitalization

Salesforce CRM

Business Problem

To migrate consumer business from a legacy, non-CRM platform (MS lists) to Salesforce CRM. Goal to modernize sales architecture to drive sales efficiency and enhance customer management experience across the lifecycle from initial lead to quotation and final ordering.

Ryewalk Solution

A rapid Minimum Viable Product (MVP), implementing core Lead-to-Ordering functionalities in less than two months. Ensured a low cost of change by leveraging standard platform capabilities, and established a scalable foundation. Automated Web-to-Lead capture and established robust Lead Scoring & Qualification framework. Conversion & Quoting: Streamlined the Lead Conversion process into a unified Products & Quoting journey.

Impact

  • Enhanced prospecting precision with automated lead and BANT scoring, increasing win rates and optimizing sales effort.
  • Established behavioural intelligence, with Marketing Cloud journeys tracking real-time engagement,nurturing leads & alerting sales at peak customer interest.
  • Established Data Integrity, through robust duplicate management, eliminating "system noise" of manual lists, ensuring a single source of truth and professional customer outreach.
  • Achieved ‘On-the-Go Closing’ with mobile-optimized data accessibility & field updates, quote templates and e-signatures; enabled sales to generate and close deals instantly from the field.
  • Created a scalable foundation with a unified digital thread replacing manual handovers of automated workflows; enabled higher volumes without increasing admin headcount.
  • Created a scalable SFDC solution that can be scaled for other businesses in High Growth Areas.
Operational efficiencyRevenue upliftUser experienceLead-to-OrderSales CloudFoundational Quote-to-Cash

FinTech in US

Lending Analytics & Decision Intelligence

data-analytics

Business Problem

To create a unified lifecycle visibility for monitoring funnel performance, portfolio health, collections and overall lending performance. Improve credit decision accuracy to achieve balanced portfolio growth. Create data-driven business decisions through actionable insights, trend analysis and performance intelligence. Set-up a structured framework to measure effectiveness and scalability of new programs, policies and lending products.

Ryewalk Solution

Automated Tableau dashboards to integrate data across the lending lifecycle. Applications classified into risk tiers using historical performance data, consumer credit data, business credit data, debt schedule, payment behaviour, application info, bank and tax data. Analytics-driven decision support framework by deep-dive analyses, identifying key performance drivers, and delivering actionable recommendations through reports, dashboards, and executive insights to support strategic and operational decisions. Structured impact measurement framework using defined KPIs, cohort analysis and comparative trend analysis.

Impact

  • Improved visibility, faster automated performance monitoring, and earlier risk identification
  • Accurate risk-based loan approvals and improved portfolio quality
  • Stronger, faster decision-making backed by actionable insights
  • Clear measurement of program effectiveness and data-driven optimization
Better Decisions / Business efficiencyOperational efficiencyImproved risk managementGovernanceBusiness IntelligenceCredit Risk AnalyticsPredictive ModelingPerformance Analytics

FinTech in US

SBA Lending - Credit Risk Analytics

data-analytics

Business Problem

Client required a foundational operating and decisioning framework to launch and scale SBA lending business with strong governance, risk control and analytics readiness. Establish comprehensive risk and servicing policies for standardizing lending and operational controls. Build a reliable credit risk model without internal historical performance data. Create a scalable data warehouse and analytics capability to centralize lending data, enable MIS reporting and support ongoing portfolio and operational performance insights.

Ryewalk Solution

Ground-up foundational data infrastructure build to house all data layers for analytics requirements. Development of in-house credit risk models to assess risk exposure balanced with revenue optimisation. Data science & ML led modeling using operational data & financial data from industry providers. Streamlined process for analytics based reporting for operational metrics and compliance. Solutions for visualisation of analytics outputs, for leadership decision making.

Impact

  • Contextual and meaningful risk models aiding business decisions aligned to compliance requirements
  • Structured governance controls through periodic reporting & decision tracking
  • Accelerated decision making by leadership balancing with risk management controls
Effective Data-driven decision makingAnalytics visualisationImproved operationsLending Process DesignLending Operations & Servicing StrategyCredit Risk Analytics & Predictive ModelingBusiness IntelligenceAnalytics EnablementData Engineering