Oracle and KPMG have unveiled major advancements in artificial intelligence, signaling a decisive moment in the technology adoption race for finance and accounting. Oracle has introduced a suite of AI agents for its Fusion Cloud Applications, while KPMG is expanding partnerships with Salesforce and Google to integrate AI deeply into its global workforce. These developments are not only about automation; they redefine how professionals interact with data, streamline decision-making, and unlock new productivity models across accounting, auditing, and financial planning.
For finance leaders, CFOs, and accounting professionals, the news carries significant implications. These AI offerings are not experiments but enterprise-ready solutions embedded in critical systems used by thousands of organizations worldwide. With AI becoming the backbone of modern finance, the pace of adoption is quickening. Businesses now face the task of rethinking their workflows, talent strategies, and technology investments to remain competitive.
Oracle’s New AI Agents for Fusion Cloud Applications
Oracle has launched a portfolio of prebuilt AI agents embedded in its Fusion Cloud Applications. Unlike traditional add-ons, these agents run natively on Oracle Cloud Infrastructure and are available at no additional cost to customers.
- Payables Agent: Designed to automate invoice processing, this agent ingests invoices from multiple channels including email, portals, EDI, and PDFs. It extracts and normalizes data, matches invoices to purchase orders and receipts, applies tax and fraud checks, and routes payments for approval.
- Ledger Agent: Shifts accountants away from report chasing by providing continuous insight. It delivers natural language explanations, sets up monitoring prompts, and can even auto-create adjustment journals when needed.
- Planning Agent: Targets financial planning and analysis (FP&A) teams by running event-driven predictions and real-time variance analysis. It also supports scenario modeling through conversational queries.
- Payments Agent: Optimizes cash outflows by evaluating financing options such as early pay and virtual cards. It integrates with banks for onboarding and execution while monitoring acknowledgments and exceptions.
Each agent is purpose-built to reduce manual tasks and provide decision-ready insights. Businesses can also create their own AI agents through Oracle AI Agent Studio, allowing for tailored use cases.
KPMG Expands AI Partnerships with Salesforce and Google
KPMG is taking a bold step by integrating AI into the core of its workforce operations. The firm announced:
- Agentforce Deployment: KPMG will roll out Salesforce’s agentic layer, Agentforce, to over 30,000 professionals. The platform will help automate research, summarize insights, and streamline meeting preparation. The U.S. will be the first market to adopt in November.
- Pro Bono AI for Nonprofits: In partnership with Braven, KPMG is building AI agents that match volunteers with opportunities, part of the broader KPMG AI Impact Initiative.
- Google Gemini Enterprise Adoption: Nearly 90 percent of KPMG employees have already used Google Cloud’s Gemini Enterprise. Employees have created nearly 700 no-code AI agents for forecasting, anomaly detection, and financial close assistance.
- Client Deployments: KPMG is piloting AI-powered invoice processing and helping clients with sourcing automation, contract management, and code conversion for legacy IT systems.
This multi-pronged approach positions KPMG as one of the most aggressive adopters of enterprise AI, leveraging partnerships to scale faster and embed intelligence into every professional service they deliver.
Industry Partnerships and Broader Integrations
Several parallel announcements highlight how fast the AI ecosystem is maturing within finance:
- Vertex Integration: Vertex Inc. achieved Oracle Validated Integration for its tax solutions, providing confidence in compatibility with Oracle ERP.
- PKF O’Connor Davies: Rolled out ChatGPT across all units with training, case studies, and adoption strategies to embed AI into daily workflows.
- Xero and Melio: Xero completed a $2.5 billion acquisition of SMB bill pay platform Melio. While Melio remains independent, Xero will embed its capabilities into its platform, signaling strong moves in SMB payments.
- Ledgible and Canton Network: Ledgible joined the Canton Network to provide institutional-grade transparency for tokenized assets worth over $6 trillion.
- Docyt’s Ambition: Announced its mission to turn every accountant into a “Million Dollar Accountant” using its AI copilot, enabling one professional to handle hundreds of small business clients.
- Campfire’s Funding: Closed a $65 million Series B funding round, bringing its total to $100 million in just three months.
These moves reflect a broader trend: the convergence of AI with tax, audit, payments, and asset management systems. The underlying goal is the same — delivering scale without proportional increases in headcount.
Key AI Agents and Their Capabilities
| AI Agent | Primary Function | Core Benefits | Use Case Example |
|---|---|---|---|
| Payables Agent | Automates invoice intake and processing | Reduces errors, speeds payment cycles | Processes multi-channel invoices with fraud checks |
| Ledger Agent | Continuous accounting insight | Eliminates report chasing, improves accuracy | Creates adjustment journals automatically |
| Planning Agent | Real-time FP&A support | Enhances forecasting and scenario planning | Runs “what-if” simulations on demand |
| Payments Agent | Optimizes cash flow and payments | Expands financing options, streamlines banking | Manages early pay discounts and virtual cards |
| KPMG Agentforce Agents | Automates research and meeting prep | Saves professional time, enhances client interactions | Summarizes contracts before negotiations |
| Google Gemini Agents | Forecasting and anomaly detection | Democratizes AI creation with no-code tools | Detects anomalies in monthly close cycles |
Strategic Implications for Finance Leaders
The rise of AI agents in accounting and finance carries weighty implications:
- Cost Efficiency: Automation reduces manual work, cutting operational costs significantly.
- Decision Speed: AI provides real-time insights, shifting finance from reactive reporting to proactive decision-making.
- Talent Strategy: Firms will need fewer staff for transactional roles but more for analytical and advisory functions.
- Competitive Pressure: Firms adopting AI early may capture market share by delivering faster and more accurate services.
- Regulatory Scrutiny: As AI enters core finance functions, regulators may demand new standards around accuracy, transparency, and ethics.
For organizations, the call to action is clear: understand AI’s capabilities now and experiment with small deployments before competitors build an insurmountable lead.
Trending FAQ
What are Oracle’s new AI agents?
Oracle launched Payables, Ledger, Planning, and Payments agents within Fusion Cloud Applications. These are embedded at no extra cost and help automate accounting, planning, and payment workflows.
How is KPMG using AI at scale?
KPMG is deploying Salesforce’s Agentforce to 30,000 professionals and adopting Google’s Gemini Enterprise firmwide. Employees have already built hundreds of AI agents to handle forecasting, anomaly detection, and reporting.
Why do these AI developments matter to accountants?
AI agents free professionals from repetitive tasks, enabling more time for analysis and client advisory. This improves efficiency and opens opportunities for higher-value services.
What risks should firms consider with AI adoption?
Key risks include data privacy, regulatory compliance, over-reliance on automation, and the need to reskill employees. Firms must balance adoption speed with governance.
How does this affect small accounting firms?
Solutions like Docyt and Xero’s integration with Melio show that even small firms can leverage AI to scale without large staff increases. It democratizes access to enterprise-level efficiency.
In a field where time is money and accuracy is critical, Oracle and KPMG are setting the tone for the next wave of financial transformation. AI is no longer a futuristic promise; it is a competitive necessity. Accountants, CFOs, and finance professionals must prepare now, as the race to harness AI’s potential is already underway.
