Scaling Through
Cloud Solutions

Get Started with the Cloud

Quickly migrate existing infrastructure to the cloud or build cloud-native systems from scratch to unlock cost efficiencies, enhance scalability, and drive performance—all with minimal disruption.

Objetive: Establish a stable, scalable, and future-ready cloud foundation that supports both immediate needs and long-term innovation.

SAMPLE USE CASES:

Fintech Payment Provider Bank

Fintech

A fintech company transitions its transaction processing to a cloud platform, which cuts infrastructure costs and enhances system scalability, allowing for faster transaction times and a seamless user experience.

Payment Provider

A payment provider shifts its payment processing and fraud detection systems to the cloud, achieving quicker response times and enabling real-time fraud alerts with minimal disruption, resulting in higher customer trust and improved security.

Bank

A bank migrates its account management system to the cloud, providing customers with real-time access to their information and enabling faster loan processing, which enhances customer satisfaction and operational efficiency.

Cloud Optimization

Modernize applications using cloud services to reduce overhead and increase efficiency and resilience.

Objetive: Free up resources and focus on growth by streamlining infrastructure.

SAMPLE USE CASES:

Fintech Payment Provider Bank

Fintech

A fintech company rearchitects its customer support platform to be cloud-native, enabling efficient handling of large volumes of inquiries while minimizing infrastructure costs. That allows for more efficient resource allocation toward customer growth initiatives.

Payment Provider

A payment provider modernizes its transaction processing, reducing maintenance efforts and achieving better resilience to spikes in transaction volume.That boosts customer satisfaction and trust.

Bank

A bank shifts its risk assessment tools to a cloud environment, making the system more reliable and ensuring quick, seamless updates without disrupting service.

Cloud Evolution & Intelligence

Adopt cloud-native principles to drive real-time insights and boost operational excellence.

Objective: Enable rapid innovation and agile go-to-market strategies with 24/7 reliability and automation for faster launches and updates.

SAMPLE USE CASES:

Fintech Payment Provider Bank

Fintech Company

A fintech company adopts real-time analytics on the cloud to track customer behaviors, allowing it to roll out targeted financial products quickly and boost customer satisfaction.

Payment Provider

A payment provider deploys predictive AI models on the cloud to detect fraud instantly, allowing proactive measures that safeguard transactions and enhance reputation.

Bank

A bank utilizes cloud AI for predictive market analysis and automated reporting, supporting rapid, compliant product launches and competitive agility.

Leveraging AI
for Smarter Decisions

KPI Development and Performance Monitoring

Objective: Integrate and standardize data to build essential KPIs with minimal disruption to existing operations.

Key Benefits: Real-time visibility from day one for proactive decisions. Enables PE firms to track portfolio performance efficiently.

Why It Matters:Enables PE firms to track portfolio performance efficiently.

SAMPLE USE CASES:

Retail Telco Manufacturing

Retail

A retail chain achieves immediate visibility into store performance, allowing for proactive inventory management and sales optimization. A PE firm gains instant visibility into store-level performance across its retail portfolio.

Telco

A telco provider gains insights into customer behaviors, enabling data-driven retention strategies to reduce churn and boost ARPU. (Average revenue per user). PE investors receive up-to-date insights on revenue generation.

Manufacturing

Aggregate production and equipment data to measure KPIs like production efficiency and downtime, supporting productivity improvements. With real-time visibility into operational efficiency, PE firms can pinpoint areas for cost reduction and productivity gains, bolstering the value of their manufacturing investments.

Automated Insights and AI-Driven Optimization

Objective: Automate data handling for timely insights without manual work.

Key Benefits: Reveal patterns, streamline operations, gain real-time insights.

Why It Matters: Empowers PE firms to optimize portfolio company performance with minimal effort.

SAMPLE USE CASES:

Retail Telco Manufacturing

Retail

A retail company uses automated AI to handle customer data, revealing purchase patterns and adjusting inventory in real-time without manual work. Real-time insights reduce stockouts and excess inventory, driving sales and profitability.

Telco

A telco provider leverages automated AI insights to monitor customer interactions and network performance, identifying service issues proactively. By streamlining operations and reducing churn, the provider strengthens revenue stability and customer loyalty.

Manufacturing

A manufacturing firm automates data collection on machine health and production flow, gaining real-time insights into operational efficiency. Automated adjustments reduce downtime and improve output, enhancing productivity and margins across manufacturing assets.

Predictive Analytics and Smart Decision-Making

Objective: Use predictive analytics to anticipate risks and identify growth opportunities.

Key Benefits: Strategic, data-led decisions for long-term success.

Why It Matters: Predictive insights allow PE firms to stay ahead of risks and capitalize on growth opportunities.

SAMPLE USE CASES:

Retail Telco Manufacturing

Retail

A retail company forecasts demand trends, optimizing stock and targeted marketing. Anticipating demand increases sales and reduces excess stock, boosting portfolio profitability and resilience.

Telco

A telco provider predicts churn risk and optimizes retention strategies before issues arise. Moving beyond automated monitoring, this advanced analysis proactively safeguards revenues.

Manufacturing

A manufacturing firm uses predictive analytics to foresee equipment failures, enabling proactive maintenance planning. This reduces downtime and enhances productivity, maximizing efficiency and profitability.

Your Right-Hand in
Digital, Data & AI Strategy

Digital & Data Infrastructure Assessment (Pre-Due Diligence)

Objective: Review digital and data infrastructure to assess risks, scalability, and alignment with business goals.

Key Benefits: Identify technical and data-related bottlenecks, ensure compliance, and uncover cost-saving opportunities, evaluating if digital and data systems support growth.

Why It Matters: As your digital right hand, this essential pre-due-diligence step addresses IT and data risks early, enabling smarter investment decisions.

SAMPLE USE CASES:

Fintech

Fintech

A PE firm is considering investing in a fintech company specializing in mobile payments. The IT infrastructure assessment reveals that the company’s payment processing systems are not scalable enough to handle future growth in user transactions, and the security protocols are not compliant with updated financial regulations. This insight helps the PE firm plan for necessary upgrades post-investment.

AI-Driven Optimization and Modernization (Due Diligence/Acquisition or Post-Acquisition Phase)

Objective: Develop an AI-focused digital roadmap to modernize core systems, enhance data-driven insights, and boost operational efficiency.

Key Benefits: Lower operational costs, improved performance, and stronger security by upgrading legacy systems and implementing AI-driven solutions.

Why It Matters: With us as your digital right hand, this roadmap helps PE firms prioritize key IT and data improvements to reduce risks, control costs, and enhance performance post-acquisition.

SAMPLE USE CASES:

Telco

Telco

During the due diligence phase, a PE firm discovers that a telecom provider they are acquiring is running outdated billing and customer management systems. The IT roadmap developed in this phase prioritizes migrating these systems to a cloud-based, scalable platform, reducing operational costs and improving customer experience.