Your BI already knows the business. Now let it think.

Your BI already knows the business. Now let it think.

Most platforms give you a report. SplashBI gives you a loop. The same governed data that powers your dashboards grounds your AI. Every question you ask surfaces sharper next steps, so the loop gets more useful the more you use it, without the model ever training on your data.

Platform context

Where this fits in the platform

Without governed, aggregated data, the AI has nothing to reason over. Without AI, Cross-Domain Intelligence is a dashboard rather than a conversation.

The AI × BI Flywheel™ is Pillar 2. It connects the data foundation (Data Aggregation) to the decision layer (Cross-Domain Intelligence). All three pillars are available independently, but the value compounds when they run together.

Why this matters

Built to be trusted, transparent, and yours

Grounded in your governed data

Answers from your data, not approximations

SplashAI runs on your governed ERP and HCM data, the same model that powers your reports, so answers reflect your actual numbers, not a generic estimate or a guess pulled from outside your business. When the AI tells you AR is up, it is reading your AR, mapped through the same definitions your finance and HR teams already trust.

Every answer shows its SQL

Every answer shows its work

SplashAI doesn't ask you to take its word for it. Every response exposes the SQL behind it and drills through to the source transaction, so your team can see exactly how a number was reached. The AI explains; your people decide. That transparency is what makes the output safe to act on, and easy to defend when someone asks where a figure came from.

Never trains on your data

Your data stays yours

SplashAI never trains on your data. Your numbers are never used to improve a shared model and never leave your governed boundary. Role-based access controls apply at the AI layer, so users only see what their permissions allow, and PII is masked before anything reaches the model. The intelligence comes from the structure of your data, not from the model learning your secrets.

The problem

The gap between dashboards and decisions

You have invested in BI. You have reports, dashboards, and data warehouses. Your team still waits on analysts for answers. Anomalies surface at month-end, not when they can be acted on. Cross-functional questions - headcount versus budget, AP variance versus plan - take days to answer because the data lives in separate systems and separate people.

The problem is not the data. The problem is that BI was built to report what happened. Nobody told it to detect what is happening now, or predict what comes next.

Natural language queries against live ERP and HCM data. No tickets. No analyst queue. No SQL.

Proactive anomaly alerts across Finance and HCM before period close, not after.

Persistent memory of your business context. The longer you use it, the faster and more precise it gets.

What the flywheel does

BI provides the foundation. AI provides the leverage

Most AI tools fail in the enterprise because they are disconnected from the data that actually runs the business. They approximate. They hallucinate. They produce answers nobody can verify.

SplashAI works differently. It is grounded in your governed, aggregated ERP and HCM data from day one. Every answer it generates cites the source table, the time period, and the SQL behind the result. Your team decides. The AI explains.

The flywheel effect is real: each question builds organizational context. SplashAI learns your cost center hierarchy, your anomaly thresholds, your definitions. By month six, it is surfacing the questions you did not know to ask.

The agents

Finance and HCM agents, built for Oracle environments

Ask natural language questions against live ERP data. Surface GL variances before close. Detect duplicate payments and AP anomalies automatically. Run FP&A scenario modeling in a conversation rather than a spreadsheet.

Query headcount and attrition in plain English. Detect time and attendance anomalies before payroll runs. Identify talent gaps by department. Correlate workforce cost against Finance actuals without a data request.

When Finance and HCM data share the same governed layer, SplashAI can answer the questions that span both. Headcount cost versus departmental budget. Attrition impact on project delivery. The answers that live between silos.

How it works

Three steps to your first AI answer

Connect

SplashAI connects to your existing SplashBI data layer. No new data warehouse. No replication. If your BI already runs on it, the AI can reason over it.

Ask

Your Finance or HCM team asks a question in plain English. SplashAI queries your governed data, shows the SQL, and returns the answer with a citation trail your auditors can follow.

Learn

Every interaction adds to the system's understanding of your business: your terminology, your thresholds, your preferred analysis patterns. The flywheel starts spinning from day one.

Objections

The questions every CDAO asks before signing

General LLMs do not know your chart of accounts, your cost center hierarchy, or your HCM data model. SplashAI is built on Oracle ERP and HCM schemas and grounded in your actual data. The difference is accuracy versus approximation.

An asset that appreciates

Most AI tools are static. SplashAI improves.

Each interaction builds organizational context: your definitions, your anomaly thresholds, your preferred views of the business. By year two, the AI layer is an institutional asset, not a replaceable software subscription.

Capabilities

What powers the flywheel

Natural language query against live ERP and HCM data (Text2SQL with full transparency)

Proactive anomaly detection: AP, AR, GL, payroll, and workforce

FP&A scenario modeling via conversational interface

Cross-domain Finance and HCM correlation

Persistent conversational memory with org-specific context

RAG-grounded responses with source citation on every answer

Human-in-the-loop feedback that sharpens accuracy over time

Governance

Governance is not an add-on

Role-based access controls enforced at the AI layer, not just the report layer.

PII masking applied before data reaches the AI model.

SplashAI never trains on your data. Your data stays yours.

Tenant isolation on Oracle Cloud Infrastructure.

Full audit logging of every AI query and response.

These are not settings you configure. They are built into the platform by default.

Role cards

What it changes for your leadership team

SplashAI surfaces GL variances and AP anomalies before your team finds them in reconciliation. Ask the questions you used to wait three days to answer.

Customer evidence

Organizations running SplashBI today

A multi-hospital health system

Consolidated Finance reporting across five source systems. Their FP&A team moved from three-day variance analysis cycles to same-day anomaly detection. Achieved 3x ROI with 70%+ adoption across Finance users in the first year.

A large US City Government

SplashAI unified a large US city's fragmented Finance, HCM, and operational systems into a single source of truth. Teams correlate records with plain-English queries, turning multi-day audits into same-day decisions, no SQL required.

An Multi-domain defense leader (4,000+ employees)

Consolidated 130+ legacy reports across five source systems into a single governed layer. Cross-functional queries that previously required three separate analyst requests are now answered directly by Finance and operations teams.

If you are already on SplashBI, we can have SplashAI in front of your Finance team this week.

Start the flywheel

SplashAI is live with Finance and HCM agents today. If your team is still answering business questions manually, that is the gap we close.