4 Sources
[1]
Oracle Debuts AI Agents for Corporate Banking | PYMNTS.com
By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. The new offerings, announced Tuesday (April 14), are designed to offer financial institutions and corporate banks AI-infused applications and pre-built artificial intelligence (AI) agents for treasury, trade finance, credit and lending. "Corporate banking runs on precision, resiliency, and trust," said Sovan Shatpathy, senior vice president, product management and development, Oracle Financial Services. "Our AI-powered platform embeds intelligence directly into mission-critical processes, accelerating decisions and strengthening governance so banks can serve clients with greater speed and confidence." The new corporate banking capabilities are powered by Oracle's banking platform, which the company said features agents that can orchestrate "real-time and highly tailored" interactions backed by human expertise. Among the new offerings is a loan data extraction agent, which aims to address the challenge of highly customized and lengthy corporate loan contracts. There's also a loan data validation agent, which can cross-check loan and financial information against source documents and/or internal records, conduct data integrity checks and flag anomalies to be reviewed by bankers. Oracle also recently debuted its Fusion Agentic Applications, designed to work in customer service, supply chain and finance settings, where software agents can perform multi-step tasks with access to live business data. As covered here recently, an article by Futurum framed this as part of a larger shift in enterprise buying, as companies increasingly want AI built into the core platforms they already use, instead of being added on through separate tools. Oracle is launching these agents -- with hundreds more due in the coming months -- amid the continued adoption of agentic AI. The PYMNTS Intelligence report "Agentic AI Breaks Out of the Sandbox" found that leaders in the banking, retail and technology industries are deploying AI agents. Across sectors, upward of 80% of executives are interested in AI agent adoption for a common set of high-leverage needs: customer insight, product life cycle management and strategic analytics. The report also found that corporate leaders think of AI agents as a system that reasons across departments, coordinates workflow and carries out actions. "As agentic AI takes on greater operational authority, executives are balancing efficiency gains against governance risk," PYMNTS wrote in another report earlier this year. "CFOs see upside in allowing AI agents to adjust forecasts and recommend reallocations in near real time, particularly for cash flow optimization and cost containment." However, adoption is still measured, that report continued. Most finance leaders still want to see human checkpoints for things like material accounting entries, capital allocation decisions and regulatory disclosures.
[2]
Oracle Launches AI-Powered Fusion Agentic Apps to Transform Enterprise Operations
The new Fusion Agentic Applications move beyond assistance to execution, helping finance and supply chain leaders dramatically improve business outcomes. Oracle announced Fusion Agentic Applications for finance and supply chain operations. The new agentic applications are powered by coordinated teams of specialized AI agents that are outcome-driven, proactive, reasoning-based, and engineered for enterprise execution. Built into Oracle Fusion Cloud Applications, Fusion Agentic Applications for finance and supply chain can make and execute decisions within business processes by securely accessing unified enterprise data, workflows, policies, approval hierarchies, permissions, and transactional context.
[3]
Oracle Expands Agentic AI Across Enterprise Workflows | PYMNTS.com
Announced Thursday (April 9) at its AI World Tour, the updates aim to move enterprise software beyond passive tools into systems that can reason, decide and act, while addressing growing pressure from investors to demonstrate returns on AI investments. The company said it is extending its Financial Crime and Compliance Management (FCCM) platform by integrating technology from Lucinity, a firm specializing in AI-driven financial crime prevention. FCCM platforms are used by banks and financial institutions to monitor transactions, detect suspicious activity and meet regulatory obligations. Oracle's update embeds agents into its AI Investigator system to streamline case management and investigations. These agents can surface relevant data, automate manual steps and recommend next actions across the lifecycle of a financial crime case. Oracle emphasized a "human-AI-centric" approach, meaning investigators remain in control while AI augments decision-making. The system also uses explainable AI, a method that makes algorithmic decisions transparent and auditable -- a key requirement in regulated industries. In parallel, Oracle introduced new Fusion Agentic Applications spanning customer experience and finance and supply chain functions. Built into Oracle Fusion Cloud Applications and powered by large language models (LLMs) -- AI systems trained on vast datasets to understand and generate language -- these tools are designed to execute business processes autonomously within predefined rules. Use cases include contract compliance monitoring, sales and marketing optimization, cash collection, and supply chain logistics. The applications operate within existing enterprise systems, accessing data, workflows and approval structures to carry out tasks while flagging exceptions that require human intervention. "With agentic applications that can reason, decide and act against defined objectives, finance and supply chain teams can move from passive productivity to systems that proactively carry work forward," Steve Miranda, executive vice president of applications development at Oracle, said in a statement. The rollout builds on Oracle's broader agentic AI strategy. The company recently launched more than 20 agentic applications and enhanced its AI Agent Studio to help enterprises build and deploy AI-driven workflows. These efforts align with Oracle's push to integrate AI directly into its cloud ecosystem. The expansion comes amid financial and market pressures. Oracle has faced a stock decline, job cuts and investor scrutiny over heavy spending on AI infrastructure without clear near-term returns. Against that backdrop, Oracle's latest announcements signal a continued bet that embedding AI agents into core business processes will drive efficiency gains and justify those investments.
[4]
Oracle Corporation Introduces Fusion Agentic Applications for HR
Oracle Corporation announced Fusion Agentic Applications for HR. The new agentic applications are powered by coordinated teams of specialized AI agents that are outcome-driven, proactive, reasoning-based, and engineered for enterprise execution. Built into Oracle Fusion Cloud Applications, Fusion Agentic Applications for HR can make and execute decisions within business processes by securely accessing unified enterprise data, workflows, policies, approval hierarchies, permissions, and transactional context. Running on Oracle Cloud Infrastructure, powered by industry-leading LLMs, and extending the world's most complete suite of cloud applications, the new Fusion Agentic Applications move beyond assistance to execution, helping HR leaders and managers dramatically improve business outcomes. By operating inside the existing Oracle Fusion Applications security framework, the new Fusion Agentic Applications can autonomously progress routine work within established guardrails, and surface exceptions, tradeoffs, and decisions where human judgment materially changes the outcome. There are eight new Fusion Agentic Applications available now within Oracle Fusion Cloud Human Capital Management (HCM), including: Career Advancement Command Center: Helps HR leaders promote career mobility, connect employees to open roles, and keep them engaged with ongoing events and communications. This turns ad hoc career development into guided, strategic advancement. Contract Compliance Workspace: Helps HR leaders better automate contract execution, semantically analyze contract agreements, surface proposed next steps in context, and move work forward within defined objectives. This transforms fragmented contract management into consistent, scalable execution. Hiring Workspace for Store Managers: Helps retail store managers reduce administrative work across recruiting processes and expedite hiring workflows. This transforms tedious manual coordination into streamlined, efficient talent acquisition. Manager Concierge Workspace: Helps managers make smarter team decisions, prioritize what needs attention, and take policy-backed, one-click actions with built-in approvals across compensation, performance, talent, absence, and more. This turns disjointed manager tasks into more focused, confident team management. My Help Workspace for Employees: Helps employees resolve issues faster and stay on top of what needs attention with a single place to track requests and follow-ups, view items awaiting action, and access knowledge articles and updates. This replaces ticket-chasing employee support with accelerated, self-service resolution. Team Learning Workspace for Managers: Helps managers upskill their teams, monitor learning needs, identify emerging skill gaps, and prioritize high-value development actions. This shifts reactive learning management to proactive, targeted development. Team Talent Calibration and Review Workspace: Helps managers conduct more consistent and structured talent review assessments, streamline calibration meetings, identify rating inconsistencies, and provide evidence-based recommendations. This moves subjective calibration toward more data-informed, consistent talent discussions. Workforce Operations Command Center: Helps managers and frontline leaders execute workforce scheduling, time, and absence operations faster, reduce manual data gathering, and accelerate scheduling approvals. This elevates workforce operations from reactive management to proactive, intelligent processes. The new Fusion Agentic Applications for HR are supported by a full AI ecosystem anchored by Oracle AI Agent Studio. With the new Agentic Applications Builder in the Oracle AI Agent Studio, organizations can build, connect, and run AI automation and agentic applications using reusable Oracle, partner, and external agents without traditional application development. In addition, built-in observability, ROI measurement, and safety controls enable agents to deliver measurable value and operate responsibly at scale.
Share
Copy Link
Oracle unveiled Fusion Agentic Applications powered by specialized AI agents designed to automate business processes across HR, finance, supply chain, and corporate banking. The new systems can reason, decide, and execute tasks autonomously within existing enterprise workflows while maintaining human oversight. Oracle is betting heavily on agentic AI to justify its infrastructure investments amid investor scrutiny.
Oracle has launched a sweeping expansion of its AI agents portfolio, introducing Fusion Agentic Applications designed to transform enterprise operations across human resources, finance, supply chain, and corporate banking
3
. Announced at the company's AI World Tour on April 9, these specialized AI agents represent a shift from passive productivity tools to systems capable of reasoning, deciding, and acting autonomously within established business parameters3
. Built directly into Oracle Fusion Cloud Applications and running on Oracle Cloud Infrastructure, the new applications leverage Large Language Models (LLMs) to access unified enterprise data, workflows, policies, approval hierarchies, and permissions to automate business processes4
.
Source: DT
The rollout includes more than 20 agentic applications, with hundreds more planned in the coming months
1
. Steve Miranda, executive vice president of applications development at Oracle, emphasized that "finance and supply chain teams can move from passive productivity to systems that proactively carry work forward" through applications that reason, decide, and act against defined objectives3
.On April 14, Oracle debuted AI agents specifically for corporate banking, offering financial institutions pre-built agents for treasury, trade finance, credit, and lending operations
1
. Sovan Shatpathy, senior vice president of product management and development at Oracle Financial Services, stated that "corporate banking runs on precision, resiliency, and trust," noting the platform embeds intelligence directly into mission-critical processes to accelerate decisions and strengthen governance1
.The corporate banking suite includes a loan data extraction agent designed to handle highly customized and lengthy loan contracts, plus a loan data validation agent that cross-checks loan and financial information against source documents and internal records while conducting data integrity checks and flagging anomalies for banker review
1
. These agents orchestrate real-time and highly tailored interactions backed by human expertise, addressing the banking sector's need for speed and confidence in client service1
.
Source: PYMNTS
Oracle introduced eight Fusion Agentic Applications within Oracle Fusion Cloud Human Capital Management (HCM), each targeting specific pain points in workforce management
4
. The Career Advancement Command Center helps HR leaders promote career mobility and connect employees to open roles, transforming ad hoc career development into guided strategic advancement4
. The Manager Concierge Workspace enables managers to make smarter team decisions and take policy-backed, one-click actions with built-in approvals across compensation, performance, talent, and absence management4
.Other applications include the Hiring Workspace for Store Managers, which helps retail managers reduce administrative work and expedite hiring workflows, and the Team Talent Calibration and Review Workspace, which streamlines talent assessments and provides evidence-based recommendations for more consistent, data-informed talent discussions
4
. These AI-powered Fusion Agentic Applications operate within the existing Oracle Fusion Applications security framework, autonomously progressing routine work within established guardrails while surfacing exceptions requiring human judgment4
.Oracle extended its Financial Crime and Compliance Management (FCCM) platform by integrating technology from Lucinity, a firm specializing in AI-driven financial crime prevention
3
. The update embeds agents into Oracle's AI Investigator system to streamline case management and investigations, surfacing relevant data, automating manual steps, and recommending next actions across the financial crime case lifecycle3
. The system employs explainable AI, making algorithmic decisions transparent and auditable—a critical requirement in regulated industries where investigators must maintain control while AI augments decision-making3
.Related Stories
The AI-powered Fusion Agentic Applications for finance and supply chain operations are powered by coordinated teams of specialized AI agents that are outcome-driven, proactive, and reasoning-based [2](https://digitalterminal.in/solutions/oracle-l

Source: DT
2
. Use cases span contract compliance monitoring, sales and marketing optimization, cash collection, and supply chain operations logistics3
.The expansion reflects a broader shift in enterprise buying patterns, as companies increasingly demand AI built into core platforms rather than added through separate tools
1
. According to PYMNTS Intelligence research, upward of 80% of executives across banking, retail, and technology sectors are interested in AI agent adoption for customer insight, product lifecycle management, and strategic analytics1
. Corporate leaders increasingly view AI agents as systems that reason across departments, coordinate workflow, and carry out actions1
.However, adoption remains measured as executives balance efficiency gains against governance risk
1
. Most finance leaders still require human checkpoints for material accounting entries, capital allocation decisions, and regulatory disclosures, even as they see potential for AI agents to adjust forecasts and recommend reallocations in near real-time for cash flow optimization and cost containment1
.Oracle supports the new Fusion Agentic Applications through AI Agent Studio, which includes an Agentic Applications Builder that allows organizations to build, connect, and run AI automation using reusable Oracle, partner, and external agents without traditional application development
4
. Built-in observability, ROI measurement, and safety controls enable agents to deliver measurable value and operate responsibly at scale4
.The aggressive rollout comes as Oracle faces stock decline, job cuts, and investor scrutiny over heavy spending on AI infrastructure without clear near-term returns
3
. The company's latest announcements signal a continued bet that embedding AI agents into core business processes across customer experience, finance, HR, and supply chain will drive efficiency gains sufficient to justify those investments3
.Summarized by
Navi
[4]
24 Mar 2026•Technology

06 Oct 2025•Technology

20 Mar 2025•Technology

1
Entertainment and Society

2
Health

3
Technology
