From Generative AI to Agentic AI: How Dun & Bradstreet Is Powering the Next Wave of Enterprise AI

Over the past year, we've witnessed a seismic shift in how businesses think about and apply artificial intelligence. In 2025, the conversation was dominated by generative AI, with organisations exploring new ways to create content, analyse information, and improve productivity. Today, rapid innovation is paving the way for something even more transformative: agentic AI.

While generative AI helps users generate answers, agentic AI goes a step further. It can reason, make decisions, automate workflows, and take action with minimal human intervention, transforming AI from a productivity tool into an active participant in business operations.

At Dun & Bradstreet, we're not just witnessing this evolution. We're helping shape it.

While generative AI focuses on creating content from large datasets, agentic AI is designed to achieve outcomes. It can plan, act, and execute tasks autonomously rather than simply responding to prompts.

It's the difference between asking AI a question and receiving an answer, versus asking AI to complete a task on your behalf.

Our own AI assistant, ChatD&B, demonstrates this evolution. While users experience a generative AI interface, behind the scenes intelligent agents help determine which tools and data sources to access, delivering more relevant and accurate responses. That's agentic AI in action.

The adoption of enterprise AI is accelerating because the business benefits are becoming increasingly tangible.

AI tools are already helping organisations improve productivity, streamline operations, and make faster decisions. As these capabilities mature, businesses are looking beyond content generation and towards systems that can automate workflows and support decision-making at scale.

At the same time, the rise of platforms such as Salesforce Agentforce and Google AgentSpace is making it easier than ever for organisations to build and deploy AI agents. What once required specialist expertise can now be achieved in minutes.

The result is a new era of competition, where success will increasingly depend on how effectively organisations combine AI and data to drive business outcomes.

Another important development is the emergence of connector frameworks such as Anthropic's Model Context Protocol (MCP) and Google's Agent-to-Agent (A2A).

These frameworks serve a similar purpose to APIs, creating a standardised way for AI agents, enterprise applications, and data sources to communicate with one another.

In an agentic world, the ability to connect trusted data to AI workflows will be just as important as the AI models themselves.

When we launched ChatD&B™, many clients asked: "Can I bring my data into ChatD&B?" Today, the question has changed: "Can I bring Dun & Bradstreet data into my AI agents?" That shift is reshaping how we deliver value.

As part of our D&B.AI™ portfolio, we are introducing agent-ready data, enabling organisations to embed trusted Dun & Bradstreet data directly into their own agentic workflows.

This includes:

• Access to our MCP server, which connects Dun & Bradstreet data to clients' AI agents

• Rich data context that helps AI systems understand and apply business information accurately

• Trusted business identity anchored by the D-U-N-S^® Number

• Verified commercial intelligence designed to support AI-driven decision-making

Rather than simply providing AI capabilities, we're helping organisations fuel their AI ecosystems with trusted business data.

Whether the use case involves sales, marketing, prospecting, risk assessment, compliance, or data stewardship, trusted context remains essential.

The future of enterprise AI will not be defined by models alone. It will be defined by the quality, trustworthiness, and context of the data that powers those models.

As agentic AI becomes increasingly embedded within business workflows, organisations will need data that is verified, connected, explainable, and continuously maintained. Without that foundation, even the most sophisticated AI systems risk producing unreliable outcomes.

With 184 years of experience, the D-U-N-S^® Number, and trusted business intelligence relied upon by more than 90% of the Fortune 500, Dun & Bradstreet provides the foundation organisations need to deploy AI with confidence.

As agentic AI moves from emerging technology to business necessity, trusted data will become the fuel that powers the next generation of intelligent systems.

And with agent-ready data, Dun & Bradstreet is helping organisations harness the full potential of AI to drive growth, improve efficiency, and make more confident decisions.