AI Modernization
AI can’t reach critical data your business depends on. Put all your enterprise data to work for AI where it lives.
Connect the data your AI can’t reach
Your AI can’t use data it can’t reach, and your most valuable data lives in mainframes, IBM i, and on-premises systems too risky to migrate. Precisely helps you connect it to cloud and AI platforms without disruption, so your models have the full picture.
“An improved digital experience for our customers and more reliable data.”
Babu Kilaru, Director of Engineering
Citizens Bank
Modernize your data ecosystem for AI, with AI
Integrate without
disruption
Integrate trusted data in real time from complex environments like IBM Z and SAP to platforms like AWS, Databricks, and Snowflake without disruption.
Transform data for
trusted AI
Turn integrated data into a reliable foundation for AI, enriched with context and governed from the start, so models draw on data you can stand behind.
Reduce complexity with
AI agents
Reduce manual effort and reliance on specialized expertise with AI agents that guide hands-on tasks like schema mapping and monitoring.
Modernize critical data access
Citizens Bank streamed mainframe data to AWS-supported applications in real time, improving response times, reducing errors and costs, and cutting MIPS by 80%.
Integrate critical data without disruption
BMW Group created an efficient and reliable data environment that strengthens data confidence with real time mainframe data replication to Confluent Kafka.
Extend legacy data to cloud ecosystems
AAA Life Insurance modernized access to critical data for fast, scalable cloud analytics. LifePlus data was integrated into AWS, without disrupting its IBM i.
WEBINAR SERIESModernization Mondays
Real Strategies for AI-Ready Data
Precisely’s Modernization Mondays series breaks down legacy system, cloud, and architecture modernization with practical guidance you can apply — no rip-and-replace required.
Explore more resources
Frequently asked questions
Does modernization require migrating off the mainframe?
No. Precisely replicates mainframe and IBM i data to modern AI platforms in real time, without requiring you to migrate, replatform, or disrupt the systems running critical transactions.
How is this different from traditional data integration?
AI modernization is purpose-built for AI use cases. It captures metadata and lineage automatically as data moves, so AI models and agents work with data that’s governed and explainable, not just delivered.
What systems and platforms are supported?
Precisely replicates data from IBM Z, IBM i, SAP, Oracle, and other on-premises systems to modern data platforms including AWS, Snowflake, and Databricks.
Do we need a full modernization strategy before starting?
If you don’t have a full modernization strategy, Precisely Data Strategy Consulting can help. Many organizations start by connecting one high-value data source to prove value and then expand further.
Does AI Modernization include ETL capabilities?
Yes. ETL/ELT and cloud-native data transformations are built in capabilities. Precisely offers cloud-native, low-code data transformation alongside change data capture and real-time replication — so data is moved, transformed, and trusted seamlessly.