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If your AI initiatives are stalling, the issue may not be your tech—it may be your data.
AI can move fast, surface insights, and automate decisions at scale. But it's only as good as the data feeding it. And no amount of prompt engineering can fix a foundation built on inconsistent, uncertified, or just plain untrustworthy data.
That's where many AI strategies hit a wall. Not because the models aren't capable, but because the data isn't ready. This is the challenge PwC and Google Cloud are helping address an ecosystem of enterprise data agents, a set of more than 30 agents that organize, govern, and activate enterprise data for AI at scale.
The data problem could be bigger than you think
Picture this: Your team spends months manually combing through databases, cross-referencing records, and tracing the source of a single transaction—often alongside their day-to-day responsibilities. Eventually, someone declares the data “clean enough.”
For CIOs, CDOs, and Chief Risk Officers under pressure to scale AI responsibly, this challenge may no longer be theoretical. It is operational and immediate. This is the reality for enterprises across each industry. Organizations with thousands of data feeds and hundreds of source systems face what feels like an insurmountable task— manually building trust in data, a single query at a time. Failed initiatives can mean wasted investment, but when data governance falls through the cracks, the consequences can be far more severe regulatory fines, failed initiatives, and public facing mishaps that can erode customer confidence in your brand.
Companies aren't lacking data. They're lacking trusted data, and the ability to certify it at scale. In fact, PwC’s 2025 Digital Trust Insights survey found that data protection and trust rank as the number one priority for business executives globally. Industry leaders recognize that without trusted data, transformation efforts stall before they scale.
Enter our enterprise data agents
Our enterprise data agents are a collection of intelligent, AI-enabled agents purpose-built to handle the entire spectrum of enterprise data functions—faster, smarter, and more consistently than manual processes ever could.
Think of it less like a traditional data platform and more like a highly capable team of AI agents working around the clock. We provide agents dedicated to data quality and data lineage—so you always know where your data came from and how it reached you. Other agents handle governance, certification, and ontology, while tracking semantic or schema changes and their impact on code. There are even agents that allow your teams to literally talk to their data in plain language—no SQL required. Governance, policy enforcement, and auditability are embedded directly into execution workflows, helping organizations meet regulatory requirements and responsible AI standards without slowing innovation.
That last piece is a bigger deal than it may sound. Instead of a data analyst spending days figuring out what data they need for a new KPI or business report, they can simply ask: "What data would I need to build this metric, where does it live, and how does it get here?" In minutes, the agent responds with a clear blueprint. No duplicate datasets. No wasted effort.
Why Google Cloud and PwC?
We've been working alongside Google Cloud for more than a decade. Google Cloud brings the technology firepower—Gemini Enterprise for advanced AI reasoning and insights, BigQuery for large-scale data analytics, and a cloud ecosystem purpose-built for enterprise scale. We bring implementation expertise, deep industry knowledge, and real-world client perspectives to help make sure solutions deliver meaningful impact.
Our enterprise data agents weren’t built in a lab and handed off for testing. It was developed alongside industry leading enterprises navigating complex data and AI transformation, shaped from day one by real governance requirements and real business pressures. The solution is designed to integrate across ERP, CRM, data lake, and multi cloud environments, allowing organizations to modernize without disrupting existing investments. That practical foundation is what sets our enterprise data agents apart.
What does this look like in practice?
As we work alongside companies to help implement our enterprise data agents, they start to see tangible improvements in data quality, governance, and accessibility. Based on our experience across industries and use cases, organizations have historically spent up to 40% of their time on data discovery, traceability, and impact analysis. With our enterprise data agents, that effort can be significantly reduced—freeing teams to focus on higher-value work like strategic analysis, innovation, and long-delayed initiatives.
In deployments across large enterprises, we’re seeing:
Up to 50% faster decision cycles by greatly reducing manual data discovery, reconciliation, and analysis delays
20 to 35% reduction in data and cloud operating costs through automated lineage-driven optimization and FinOps intelligence
Improvement in data trust and quality by detecting semantic drift and enforcing governance at execution time.
Productivity gains across analytics, engineering, and finance teams through agent-led automation and reuse
Up to 25% acceleration in time to value for AI and data products by standardizing consumption, governance, and execution
Ready to build on a foundation you can trust?
The companies pulling ahead with AI aren't the ones sitting on the most data. They're the ones who trust their data enough to make decisions with it. Our enterprise data agents can help you get there faster, with smarter outcomes, and the confidence that each decision is built on a solid foundation.
Learn more about how PwC and Google Cloud can help your organization unlock the overall potential of your data.
Want to learn more? Join us at Google Cloud Next
April 22-24, 2026 | Las Vegas
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