whitepaper
- A clear breakdown of the data challenges, silos, poor quality, missing metadata, and rigid pipelines, that stall AI adoption.
- The essential capabilities across governance, metadata, quality, and architecture needed to support modern AI systems.
- A practical framework to evaluate gaps across accessibility, quality, governance, and pipeline maturity.
- A proven five-step approach to align data strategy with business use cases and enable scalable AI deployment.
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A Smarter Way to Build Data-Driven Operations
Discover the outcome-driven, engineering-first framework that transforms fragmented data operations into a scalable, high-velocity intelligence engine.
Data-First Engineering
We fix the foundation before layering AI. Pointwest cleans fragmented Excel reporting, automates manual ETL, modernizes legacy systems, and establishes a single source of truth. Instead of migrating chaos to the cloud, we standardize pipelines and ensure data flows reliably across Finance, Sales, and Operations, eliminating conflicting KPIs and restoring trust in reporting.
AI Built for Your Business
Pointwest builds custom, open-source machine learning models tailored to your business logic, from demand forecasting and inventory optimization to intelligent document processing. Our proprietary IDP platform, Skriba, accelerates document-heavy workflows like eKYC, insurance processing, and onboarding through AI-powered data extraction and validation. You retain full IP ownership, avoid recurring license costs, and gain solutions that evolve as your operations change.
Embedded Engineering Partnership
Pointwest acts as your embedded engineering partner, managing pipeline orchestration, maintaining integrations, and continuously improving performance. Our AI specialists engage from Day 1 of data engineering, ensuring that pipelines are designed specifically to support future machine learning use cases. This eliminates costly retrofits and ensures AI initiatives move beyond pilots into sustained business impact.
Bringing Operational Clarity
Internal data teams shouldn’t be stuck reconciling spreadsheets or responding to endless manual report requests. We eliminate the “battle of the spreadsheets” by automating ingestion, standardizing metrics, and building scalable data lakehouse architectures. By removing manual grunt work and stabilizing reporting environments, we restore your team’s quality of life, freeing them to focus on predictive insights, strategy, and innovation instead of firefighting.
The Challenge
A leading Philippine insurance company faced significant hurdles in their data processing operations. Extracting critical information in real-time from vehicle Official Receipt/Certificate of Registration (OR/CR) and Sales Invoice documents presented accuracy and speed challenges. Traditional OCR solutions achieved only 70% accuracy with the client's existing dataset, requiring high levels of manual intervention to rectify data capture errors. This resulted in increased operational costs, delayed processing times for Compulsory Third Party Liability (CTPL) insurance applications, and operational inefficiencies.
The Solution
Pointwest implemented Skriba, our proprietary smart OCR platform powered by Machine Learning, to enhance text extraction and recognition from both handwritten and typewritten documents. We trained Skriba with an extensive dataset of sample receipts and sales invoices, enabling it to learn and adapt to the specific layout, fonts, and data elements characteristic of these documents. Skriba's APIs enabled real-time, concurrent processing and automation of end-to-end workflows at scale, eliminating bottlenecks in the data extraction process.
The Result
Upon implementation, the client experienced improvements in their data extraction processes. Accuracy rates significantly rose from 70% to more than 90%, translating to a substantial reduction in manual intervention efforts. Additionally, Skriba's real-time processing capabilities ensured faster turnaround times for CTPL application processing. This streamlined the client's data-related operations, freed up valuable resources, and reduced operational costs, demonstrating how intelligent automation delivers tangible business value.