Today I want to share a vision of work that’s emerging faster than most realize–a future where people and AI agents operate side by side, not as novelty, but as great partners in the enterprise.  We’re investing in this future and are building the new Oracle AI Data Platform which I’ll explain in a few minutes.

Over the next three years, the most progressive companies won’t simply use AI. They’ll embrace AI agents as key colleagues. At Oracle, we believe a governed, data-first enterprise is essential. People and agents must work under the same policies, the same governance structure, and toward the same business objectives.

Here’s a key idea: the model itself is temporary. What lasts is the governed data estate and the policy framework. Without that foundation, departments will end up crowded with strangers—a flurry of ad hoc automations performing hundreds of narrow tasks. The result? Less organizational alignment, more agentic silos, and higher operational risk.

Future of Work: People as Conductors, Agents as Digital Colleagues

Research from Stanford and Gartner backs this up. Organizations succeed when agents are treated like accountable colleagues – not when like disposable bots.  Agents won’t replace people. They’ll amplify human potential. Think of your workforce as conductors of intelligent systems, focusing creativity and wisdom on the decisions that matter most, while AI handles policy-bound execution of countless supporting tasks.

Managers will hold weekly one-on-ones with their top agents, reviewing scorecards, assessing alignment to objectives, and fine-tuning recommendations from the prior week. Industry analysts warn that without strong governance, more than 40 percent of early agentic AI projects will fail. The Oracle AI Data Platform is designed to help prevent that outcome by embedding security, lineage, and contextual awareness every step of the way.

Life in the Oracle Agentic AI World

When you open your laptop, recommendations will be waiting inside the Oracle apps you already use—not buried in a dashboard. They’re ready for a quick review, adjustment, or approval. The recommendations are highly relevant because they rely on fine-tuned foundational models unique to your company. These models know your KPIs, have studied your business plans, attended your QBRs, and understand your role in the company. They have deep insight into all the data in your Oracle applications.

Our AI Data Platform Product Vision

Our vision for the future of the Oracle AI Data Platform is to connect people with agents so decisions happen faster, tasks become easier, and organizations perform better with less effort. It will be a foundational layer for making this hybrid workforce operate smoothly and efficiently, providing a single policy plane so every agent—whether built on Oracle or open-source LLMs— will inherit the source application’s governance model and contextual intelligence about objectives, KPIs, roles, and operational calendars.

Decisions and updates will happen where the ledger lives, inside the Oracle database and SaaS applications. With this foundation, enterprises can scale from a handful of departmental agents to an ecosystem of cross-enterprise digital colleagues while helping to keep risk, cost, and compliance under control. Oracle’s vision is not more dashboards or novelty demos. Our goal is trusted autonomy, where human insight and artificial intelligence work in deliberate synchronization to create resilient, adaptive organizations.

Oracle AI Data Platform: The foundation that powers your enterprise

The Oracle AI Data Platform aims to provide the connective tissue between your people, your data governance strategy, and the growing universe of agents built across multiple processes and platforms. Here are just a few possibilities.

With the AI Data Platform, you can build intelligent agents that never sleep.

For supply chain leaders, imagine it’s three a.m. when political unrest erupts in a key manufacturing region. While your team sleeps, the agent is already rerouting production schedules, identifying alternative suppliers, and negotiating emergency contracts. By the time you open your laptop with morning coffee, three contingency plans await—complete with cost projections and risk assessments. What once would have been a crisis becomes a minor adjustment.

Picture a people agent that transforms your workforce into liquid gold, flowing to where it’s needed most. It senses burnout in your Singapore office through subtle changes in communication patterns while spotting a rising star in Mexico City whose skills perfectly match an emerging need in London. Before you even see the pattern, the agent has orchestrated a seamless internal mobility program and crafted personalized development paths Resignation letters become rare artifacts as career trajectories align with company priorities.

Envision a marketing agent that understands your customers better than they understand themselves. With future integration with Oracle Unity, the AI Data Platform will have the capability to ingest every interaction across all touchpoints—order management, product telemetry, support tickets, social mentions, purchase patterns, even pauses in phone calls. When a Fortune 500 client’s usage suddenly drops 15 percent, the agent doesn’t just flag it—it predicts the underlying business pressure, crafts a personalized retention strategy, and schedules a well-timed call with talking points that address unspoken concerns. Your account managers become relationship architects rather than firefighters.

Oracle AI Data Platform Differentiators

Unlike bolt-on AI tools built on obscure ontologies, Oracle AI Data Platform will have three core diffentiators:

  1. It will embed AI where the business runs. Oracle can put AI inside the systems of record—databases, ERP, and industry apps—so insights can turn into booked transactions with full traceability. Decisions can become instant actions, cutting latency, helping to reduce integration costs, and addressing compliance requirements that generic overlay platforms can’t match.
  2. A single policy and governance plane for your data and agents. The AI Data Platform will be able to enforce security, lineage, and access rules across every model, data source, and Oracle application. This can help enterprises scale agentic AI without creating new silos offering predictability and trust and regulatory confidence as digital labor grows.
  3. Open models with closed risk. Customers can bring Oracle, open-source, or third-party models to the AI Data Platform without rebuilding controls, providing freedom to use the best model for each job while keeping costs predictable. This will help future-proof AI investments as models evolve.

Put the Power of AI to Work for You

This is our vision of trusted autonomy: people and digital colleagues working in deliberate harmony, creating organizations that are resilient, adaptive, and ready for whatever tomorrow brings.  We look forward to your feedback and exploring how AI can change the future of work in your company.

 

For more information about Oracle AI Data Platform: