Product descriptions:
DXC Technology, a global leader in IT services, set out to boost productivity and streamline operations by developing 3 generative AI agents across sales, HR, finance and project management. However, years of growth through mergers left the company with fragmented systems, siloed data and low trust in AI. DXC turned to the Databricks Data Intelligence Platform to unify data, enable governed access and accelerate AI development with a single, scalable environment. As a result, DXC cut time-to-insight from months to days, reduced platform total cost of ownership (TCO) by 30% and empowered teams across the business to build and deploy AI solutions faster and with greater confidence.
Confronting barriers to sharing critical knowledge
DXC Technology has long exemplified operational excellence in large-scale IT services. As generative AI (GenAI) emerged as a game-changer in the tech sector, DXC saw an opportunity to deliver new innovations to customers by embedding GenAI into the core of its service delivery. The company set an ambitious goal: to develop 3 AI agents designed to drive operational efficiency and workforce productivity across sales, HR, finance and IT, with more planned. These agents would address use cases such as bench management, hiring and reskilling forecasts, real-time project tracking, audit assistance and cost optimization.
“For us, AI isn’t about hype. It’s about solving real business problems,” said Antoine Voiry, Data Strategy Director at DXC Technology. “We want sales to focus on the right deals, HR to plan proactively and finance to optimize cost structures. Every use case ties back to one thing: productivity.”
However, implementing GenAI across a company shaped by decades of mergers wasn’t simple. DXC inherited a patchwork of siloed systems, fragmented data sources and redundant workflows. Every team had its own tools and “version of truth,” which slowed collaboration and made decision-making cumbersome. Previous AI attempts hadn’t delivered, leaving teams wary of models they didn’t understand. Add to that a multicloud architecture — data in Azure, compute in AWS — and DXC needed a platform that could simplify complexity without adding more overhead. That search led them to Databricks.
Creating a shared knowledge layer for all teams
DXC selected the Databricks Data Intelligence Platform to consolidate and streamline its data, analytics, and AI initiatives, replacing fragmented point solutions with a unified, collaborative environment. The company utilized Delta Lake to unify data ingestion from systems such as Workday, Salesforce, financial tools, and legacy data marts. With clean, reliable, and real-time data in one place, DXC can build AI agents directly on top, eliminating the need to replicate or move data. Unity Catalog provided the governance framework to manage secure, cross-functional access from a single interface. It allowed DXC to apply consistent access policies across departments, reduce data duplication and track data lineage - key requirements for scaling GenAI responsibly.
With data centralized and governed, DXC layered on advanced capabilities without disrupting existing workflows. Using MLflow 3.0, teams tracked experiments, managed model versions and deployed pipelines all within Databricks. This eliminated tool-switching and standardized how models were built and evaluated across departments. To empower non-technical users, DXC deployed Genie, Databricks’ conversational AI assistant. Business teams in sales, finance, and IT can now query data using natural language, without the need to build dashboards or write SQL. Genie auto-generated queries, dramatically reducing dependency on analysts. Even audits, once manual and time-consuming, became faster, with auditors able to retrieve asset-level data instantly through Genie.
As their data and tooling matured, DXC shifted its focus from isolated models to more dynamic, agent-based systems. “We’ve built 11 AI agents to enhance business processes, with three already in production and eight in pilot or development phases,” said Antoine. “There’s no duplication, no pipeline sprawl. Just fast, governed access to real-time information.”
Delivering measurable impact
With centralized data and standardized tooling (MLflow, Genie conversational assistant), DXC accelerated the development and deployment of AI agents. The finance team validated a 30% reduction in TCO after migration, and business users reported time-to-insight improvements from months to days for critical reports. Adoption rates are tracked quarterly, with three agents in production and eight more in pilot or development stages
Unlocking 30% more time for high-impact work
With a clear view of their data architecture, DXC unlocked better cross-functional collaboration through centralized workspaces and shared standards. This new level of transparency and trust had a tangible impact: project timelines shrank dramatically. What used to take months — like delivering new reports or launching GenAI use cases — now takes just days. This agility translated into meaningful platform-level savings as well, with DXC achieving a 30% reduction in TCO after migrating to Databricks — helping to reinvest into GenAI development, scale agent adoption and accelerate time-to-value across the enterprise.
The shift in productivity was palpable. Executives could now access insights instantly through shared notebooks. “Some teams joked they no longer had time for coffee. That’s how smooth the workflows have become,” Antoine noted. “But seriously, we’re getting minimum viable products into users’ hands faster, gathering feedback earlier, and iterating in real time. That’s what’s helping us focus on delivering real value.”
Built with cloud native services and Databricks providing the data, DXC has been able to maintain momentum across all GenAI projects, supporting high-impact use cases across departments. Built-in security gives the infosec team peace of mind, while multicloud flexibility ensures DXC can continue evolving its infrastructure with confidence. With the foundation in place, the company is now focused on scaling its first AI agents into production and exploring new opportunities, including ERP reporting and service delivery optimization, all to strengthen its leadership in enterprise IT services.
With a strong foundation in place, DXC is expanding its AI portfolio to include ERP reporting, service delivery optimization, and new use cases in IT and operations. The company’s focus remains on delivering real business value, strengthening security, and maintaining flexibility for future innovation.