CoreLogic cuts platform costs by 5X
CoreLogic ยท Australia
CoreLogic cut platform costs by 5X after migrating its on-premises RPA platform to Microsoft Power Automate, as part of a Cognizant client engagement.
Overview
CoreLogic cut platform costs by 5X after migrating its on-premises RPA platform to Microsoft Power Automate, as part of a Cognizant client engagement.
This entry has 13 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
CoreLogic's existing on-premises RPA platform underwent a significant change in its licensing approach, creating a challenging migration path to unlock new cloud-based features. With a hard target deadline to avoid significant license fees, CoreLogic needed a technology partner to select a new cloud-based platform and execute a rapid migration.
The solution
CoreLogic and Cognizant, its trusted automation delivery partner and awarded Microsoft Intelligent Automation Partner of the Year, identified Microsoft Power Automate as the migration target, carefully mapping all automation processes and designing a new implementation covering all requirements within a tight six-month delivery window. In total, 16 automations were migrated, with Australian infrastructure established on Microsoft Azure and new central RPA reporting implemented as a Power BI dashboard.
Reported business value
Cognizant delivered the 16 required processes during a six-month migration, meeting the hard target deadline and avoiding additional license fees, achieving 100% accuracy in all rewritten code alongside a 5x reduction in platform costs. CoreLogic has set a goal of creating 100,000 hours of additional capacity this year through further automation and AI.
Sources
Open any source and check the claim yourself โ that is the point of the register.
Other technology & software entries in the register.
Supermetrics: Helping Marketers Redefine Efficiency with AI-Powered Data Analysis
Supermetrics, a Finland-based marketing intelligence platform serving 15,000+ customers across 132 countries, built an AI agent on Google Cloud using Vertex AI Agent Builder and the Agent Development Kit (ADK) that autonomously manages data connections, fixes pipeline errors, and analyzes campaign performance in real time, suggesting new creative options using Imagen. The agent automates the weekly marketing reporting cycle that previously took performance marketers up to four hours, reclaiming over 15 hours per month per marketer for strategy and creative testing. The system uses a central AI agent that interprets natural language requests and delegates tasks to sub-agents, and stores 'core memories' of user preferences for personalized context.
Domyn builds Colosseum 355B, a sovereign AI foundation model, using NVIDIA DGX Cloud
Domyn (formerly iGenius), an Italian AI company serving highly regulated sectors such as financial services and public administration, used NVIDIA DGX Cloud with over 3,000 NVIDIA H100 GPUs to continue-pretrain Colosseum 355B, a 355-billion-parameter foundation LLM. Within one week Domyn had access to the dedicated infrastructure, and within two months completed continued pretraining, achieving 82.04% accuracy on the MMLU benchmark. The model powers Domyn's business intelligence agent, Crystal, a sovereign AI solution deployed on private infrastructure.
Strava's Athlete Intelligence Translates Workout Data into Simple and Personalized Insights
Strava launched Athlete Intelligence, an AI-powered feature available as a public beta to subscribers, which analyzes and interprets workout data across pace, heart rate, elevation, power, and Relative Effort into simple, personalized insights and guidance. The feature spots 30-day performance trends, detects milestones such as fastest pace or longest distance, and offers tailored feedback for each activity, drawing on more than 10 billion activity uploads on Strava.
Fifth Dimension unlocks insights and intelligence with Google Cloud
Fifth Dimension, founded in 2023, provides an AI platform combining machine learning, predictive analytics and natural language processing to uncover hidden patterns in real estate data, processing over 1TB of data per month by 2025. Facing scalability and cost problems with its original infrastructure, the company adopted Google Cloud, building its ML stack on Vertex AI (running Google Cloud Gemini and Anthropic Claude models), plus Cloud SQL, Cloud Run and Pub/Sub. This scaled processing capacity 50x to handle document-processing surges, supported 6x global client growth across multiple regions, and decreased infrastructure costs by 30% through serverless architecture. Model deployment time dropped from weeks to days, platform engagement tripled in 2025, and annual recurring revenue grew 6x in the same year.
Was this helpful?
Your feedback helps us improve our use case database