KPI Partners grew up in the Oracle estate. We know what lives inside an RPD, why the EBS chart of accounts never maps cleanly, and how much business logic is hiding in reports nobody documented. That knowledge is what makes generative and agentic AI on Oracle work instead of hallucinate.
Enterprise AI
Oracle customers have the richest structured data in the enterprise and the least appetite for an AI answer that cannot be traced back to a source record. We scope every engagement around that constraint.
Assistants grounded in Oracle application data and your own documents, with every figure traceable to a source record.
Agents that act inside Oracle business processes, with the tool access, memory and audit trail a finance team can sign off on.
Forecasting, anomaly detection and propensity models built to run in production against Oracle data at scale.
IQ Foundry by KPI Partners
IQ Foundry is our suite of GenAI and agentic accelerators built around business functions rather than industries. Each arrives with the domain logic already modelled, so procurement, supply chain, HR, sales and finance teams see working agents on their own Oracle data in weeks.
Sourcing, supplier and contract intelligence across the purchase lifecycle.
Rebate eligibility, accrual tracking and claim leakage detection.
Inventory position, fulfilment exceptions and supplier risk, surfaced as actions.
Proposal and response generation grounded in your approved content library.
Employee 360, policy answers and talent analytics for HR and people teams.
Peer and internal benchmarking with the source figures always traceable.
Claims triage, adjudication support and exception handling for insurers.
Marketing, legal and IT accelerators are in the roadmap. Tell us the function and we will scope building it with you.
Enterprise Context Engine by KPI Partners
Auto-context is not governed context.
Oracle will infer a lot about your data on its own. What it cannot infer is which definition of margin your CFO signs off on, which rows a regional controller is allowed to see, or which answers have been validated against the general ledger. That gap is where AI programmes lose trust.
The Enterprise Context Engine is not a product you buy from us. It is the delivery discipline that turns platform-native capability into governed, secured, evaluated context on the platform you already run. On Oracle that means the Oracle Analytics semantic model, Fusion Data Intelligence and Select AI, wired together and then hardened.
Assess the data estate, semantic maturity and governance posture. Output is a gap list and a sequenced plan.
One real subject area, modelled and grounded end to end, tested for answer accuracy against known results.
Gold-layer modelling, access and PII masking, verified answers, evaluation harness, human review paths.
Context library maintenance, accuracy monitoring, adoption tracking and continuous cost governance.
The foundation underneath
Twenty years of RPD logic, custom EBS extensions and financial reports that only three people fully understand. Getting that into a shape AI can use is the work, and it is the work we have been doing since the company started.
Semantic modelling, governed self-service and the migration path off OBIEE, done without losing the logic.
Prebuilt Fusion analytics stood up fast, then extended with the custom subject areas you actually need.
The warehouse and the infrastructure underneath, sized for the workloads you run rather than a reference diagram.
Finance, procurement, supply chain and HR reporting across Fusion Cloud and E-Business Suite.
Planning, close and profitability models connected to the same governed data the rest of the business reports on.
Follow-the-sun run and support so the platform keeps performing after the build team rolls off.
Modernization plays
Every modernization starts with an automated assessment of the existing estate: what runs, what is used, what can be retired. The output is a fixed-scope plan with a wave sequence, not an open-ended discovery.
Enterprise Analytics Accelerators
Our Enterprise Analytics Accelerators cover 32 pre-built analytics packages across 11 enterprise source systems, Oracle E-Business Suite and Fusion Cloud among them. Each ships with extraction logic, a conformed data model and a working set of metrics, so the first business-visible output lands in weeks rather than quarters. They are also the fastest route to the governed semantic layer your AI agents will depend on.
Request the accelerator catalogueFinance, procurement and order-to-cash subject areas for Oracle EBS, Fusion Cloud, SAP and NetSuite.
Pipeline, retention and service metrics from Salesforce and adjacent systems.
Headcount, attrition and talent acquisition views from Oracle HCM, Workday and SuccessFactors.
Inventory position, fulfilment performance and supplier risk across ERP and WMS sources.
Vertical extensions for life sciences, insurance, manufacturing, retail media and energy.
Case studies
Two engagements that show the range: real-time ML on operational data, and a full analytics platform transformation.
Detecting fraudulent payroll activity as it happens rather than in a retrospective audit, using streaming pipelines and anomaly detection models running against live payroll data.
Moving a renewable energy business off a constrained reporting estate onto a modern cloud data warehouse, with ERP as the core source and a governed model built for the whole enterprise.
How we engage
We work in fixed-scope stages so you can stop, redirect or scale after any one of them.
Automated inventory of the current estate, usage analysis, target architecture and a costed wave plan.
One real subject area or agent built end to end, in production, proving the pattern with your data.
Wave-based delivery of remaining sources, reports and agents, with parallel run and formal reconciliation.
Managed services, context maintenance, cost governance, and an enablement track so your team owns the platform.
Industries
Deep domain models matter more than generic architecture. These are the industries our accelerators and delivery teams know best.
Start the conversation
Send us the shape of the problem and we will come back with a point of view, not a capability deck. If an assessment or a pilot makes sense, we will scope it with a fixed price and a fixed timeline.