Oracle AI Agents That Maximize Value for Your Organization
Expert guidance from pilot to production-ready AI agents
Your team can’t keep pace with AI’s evolution, but expectations for modern, seamless experiences continue to rise. We guide you through implementing the right Oracle AI Agents platform for the job at hand. We unlock hidden value by integrating Agentic AI with your systems, aligning with your processes, and delivering measurable results that go beyond shallow POCs. We also prioritize data security, the most overlooked aspect of AI implementations.
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Why Most Enterprise AI Agent Projects Stall
Technology isn't the blocker, integration and expertise are!
Expertise
Your team lacks specialized AI implementation expertise
Data Access
AI pilots can't access enterprise data needed for real decisions
Hallucinations
Agents hallucinate when disconnected from your systems of record
Security
Security, compliance, and cost concerns stall progress while opportunities pass
The biggest barrier to AI agent value isn’t the technology—it’s weak integration. When AI agents can’t connect to your systems of record, they act on assumptions instead of facts. That’s why 75% of enterprise AI agent initiatives fail to move beyond pilot phase.
Oracle AI Expertise Connected to Your Reality
As experts with Oracle AI since 2016, we guide you from strategy through implementation,
bridging the gap between Oracle's AI capabilities and your business needs. Learn more about GT's AI capabilities:
Oracle AI Agent Studio Consulting
Expert guidance on designing task-focused AI agents embedded in Oracle Fusion workflows.
OCI GenAI Agents Strategy & Implementation Support
Strategic consulting on building scalable AI agents with enterprise-grade security and cost controls.
Ida Agents
Fully managed, pre-built platform providing conversational agentic AI for Oracle Fusion, PeopleSoft, and enterprise applications.
Enterprise Integration Architecture
Connect Oracle AI agents to real enterprise data so they take reliable actions and dramatically reduce hallucination risk.
Enablement & Knowledge Transfer
Consulting engagements that build your team's capabilities through hands-on guidance.
Use the Right Oracle AI for the Job
Oracle's AI portfolio is powerful but complex—we help you design the right architecture for your needs
AI Agent Studio (in Fusion)
- Best when you want agents embedded in Fusion user experiences and processes
- Low-latency actions against Fusion data and services
- Governed by Fusion security and roles
OCI GenAI Agents
- Best for cross-application agents and custom orchestration
- Scales across teams, channels, and non-Oracle systems
- Full control over model choice, retrieval, and runtime
Ida Agents
- Prebuilt, multi-system, multi-model AI tool with enhanced data security
- Integrated to over 20 enterprise systems to read, write and update data
- White-glove AI option which is fast to deploy with AI managed service team at no additional cost.
Private Agent Factory
- Best for organizations standardizing agent patterns at scale
- Shared components for security, logging, evaluation, and reuse
- Central governance with space for product teams to innovate
We explain when to use AI Agent Studio vs OCI GenAI Agents vs Private Agent Factory, and we design architectures that combine them without duplication or extra cost.
Looking for AI for PeopleSoft? We offer that too!
Methodology That Reduces Risk
Proven methodology addressing the three reasons AI agent projects fail: expertise gaps, integration challenges, and ROI uncertainty.
Click a phase to discover more:
Phase 1: Discover
We conduct stakeholder workshops to understand your organization's priorities, current processes, and critical integration points.
- Map business processes and pain points
- Identify high-value automation opportunities
- Document existing systems and data sources
- Define success metrics and ROI expectations
Phase 2: Design
Working collaboratively with your team, we design agent roles, prompts, tools, and governance frameworks tailored to your organization.
- Define agent personas and responsibilities
- Craft effective prompts aligned with business context
- Design tool integrations and function calling patterns
- Establish governance policies and guardrails
Phase 3: Build and Iterate
Expert-guided implementation with human-in-the-loop checkpoints ensures quality and alignment throughout development.
- Develop agents using AI Agent Studio or OCI GenAI Agents
- Implement iterative testing cycles
- Conduct regular checkpoint reviews
- Refine based on real-world feedback
Phase 4: Integrate
This is our core specialization. We architect integrations that connect AI agents to the enterprise systems that matter—Oracle Fusion, ServiceNow, Salesforce, TDX, and beyond.
- Design secure integration architectures
- Connect to systems of record
- Implement retrieval patterns for grounded responses
- Establish data access controls and security policies
Phase 5: Validate Quality
Rigorous quality assurance through red teaming, automated evaluation, and pilot testing ensures agents are ready for production.
- Conduct adversarial testing (red teaming)
- Implement automated evaluation frameworks
- Run pilot programs with real users
- Measure accuracy, reliability, and safety
Phase 6: Operate
We establish operational excellence with telemetry, continuous feedback loops, cost controls, and knowledge transfer to your team.
- Deploy monitoring and observability tools
- Create feedback collection mechanisms
- Implement cost tracking and optimization
- Transfer knowledge to enable long-term success
Trust, Safety, and Cost Control Built In
Enterprise-grade guardrails that address the concerns CFOs and security leaders have about AI agents
Why Gideon Taylor?
Deep Oracle Fusion and industry expertise meets proven enterprise integration methodology
Oracle Cloud Leaderboard Recognition
Recognized for AI agent consulting volume and successful implementations. We've guided dozens of organizations from pilot to production-ready AI agents.
Integration Architecture Expertise
20+ years connecting Oracle to enterprise systems.Integration is where most AI agent projects fail—and it's our core specialization.
Knowledge Transfer Focus
We build your team's capabilities, not consulting dependency. Every engagement includes hands-on enablement so you can operate AI agents long-term.
Our goal is simple: reduce operational costs by automating work inside Oracle Fusion and across your enterprise, from ServiceNow and Salesforce to custom apps.
Oracle AI Recommendation Engine
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Do you use Oracle Fusion?
Understanding your Oracle environment helps us recommend the right AI architecture
Are you looking at department or isolated use cases or enterprise wide?
This helps determine if you need enterprise-wide governance or team-specific solutions
How important is data control and security to you?
We'll tailor our recommendation based on your security requirements
Your Recommended Architecture
AI Agent Studio
OCI GenAI Agents
Get Custom Architecture Guidance
Schedule a consultation with our Oracle AI experts to design the optimal architecture for your specific needs.
Outcomes Our Clients Achieve
Real improvements in the metrics CFOs and operational leaders care about
Your results will depend on process complexity and data quality. We establish baselines and report lift with clear, CFO-ready metrics. Use our Enterprise ROI Calculator to estimate expected returns. Many AI implementations deliver 3.7x to 10x ROI over three years.
Start Your Oracle AI Transformation
Schedule a working session to map use cases, integrations, and success metrics
What you’ll receive:
- Analysis of your highest-value Oracle AI agent opportunities
- Clear guidance on which Oracle AI agent tools fit your business problems
- A 30-to-60-day plan that proves value and scales with confidence
- Honest assessment of integration requirements and potential roadblocks
Frequently Asked Questions About AI for PeopleSoft
What are Oracle AI agents and how do they work?
Oracle AI agents are intelligent software agents that can understand context, make decisions, and take action within your enterprise systems. Built through AI Agent Studio (embedded in Oracle Fusion), OCI GenAI Agents (for cross-application orchestration) or Private Agent Factory, these agents use large language models to interpret requests, retrieve relevant information from your systems of record, and execute tasks or provide recommendations. Oracle AI agents work by combining natural language understanding with integration to enterprise data, allowing them to assist employees with workflows, answer questions based on actual system data, and automate repetitive processes.
What's the difference between AI Agent Studio and OCI GenAI Agents?
AI Agent Studio is embedded within Oracle Fusion applications and is best for task-focused agents that operate on Fusion data with low latency and native security controls. OCI GenAI Agents runs on Oracle Cloud Infrastructure and is designed for cross-application orchestration, custom workflows, and integration with non-Oracle systems. Think of AI Agent Studio as purpose-built for Fusion workflows, while OCI GenAI Agents provides flexibility for enterprise-wide automation spanning multiple systems like ServiceNow, Salesforce, and custom applications. Many organizations use both—AI Agent Studio for Fusion-specific tasks and OCI GenAI Agents for broader enterprise automation.
Why do most AI agent implementations fail?
Most AI agent implementations fail due to weak integration with systems of record. When agents can’t access real enterprise data, they hallucinate or provide generic responses that lack business context. The three primary failure points are: (1) lack of specialized expertise to design proper prompts, guardrails, and retrieval patterns, (2) insufficient integration architecture connecting agents to the systems employees actually use, and (3) unclear ROI metrics that prevent organizations from measuring and proving value. Success requires both technical AI expertise and deep knowledge of enterprise integration patterns—which is why 75% of AI agent initiatives stall at pilot phase.
How long does it take to implement Oracle AI agents?
Implementation timelines vary based on use case complexity and integration scope. A focused pilot with 1-2 use cases typically takes 30-60 days from discovery to production validation. This includes stakeholder workshops, agent design, integration architecture, testing, and knowledge transfer. Enterprise-scale implementations with multiple departments and complex orchestration patterns may take 3-6 months. Our methodology emphasizes proving value quickly through focused pilots before expanding, which reduces risk and builds organizational confidence. During the initial working session, we’ll provide a realistic timeline estimate based on your specific requirements and existing technical environment.
What kind of ROI can we expect from AI agents?
Organizations using task and GenAI agents commonly see 10-25% faster cycle times in service and back-office workflows, 15-30% reduction in manual handoffs, and improved satisfaction scores for both customers and internal analysts. Many well-implemented AI agent initiatives deliver 3.7x to 10x ROI over three years. However, your results will depend on process complexity, data quality, and integration maturity. We establish baseline metrics before implementation and track improvements using CFO-ready reporting. Our Enterprise ROI Calculator helps estimate expected returns for your specific use cases during the discovery phase, accounting for implementation costs, productivity gains, and operational savings.
Do we need AI expertise on our team to work with Gideon Taylor?
No—you don’t need existing AI expertise. Our consulting approach is designed to build your team’s capabilities through hands-on guidance and knowledge transfer. We work alongside your developers, admins, and business users throughout the engagement, providing training on prompt engineering, integration patterns, monitoring approaches, and optimization techniques. By engagement end, your team will have the skills to maintain, tune, and expand AI agents independently. We also offer ongoing managed services for organizations that prefer continuous expert support for monitoring, cost optimization, and advanced AI engineering.