We put an AI agent on a single finance process, such as AP exceptions, close commentary or reconciliations, using read-only Oracle Fusion data and human approval at every step, and measure it against how you work today.
Tell us which process hurts most. We reply within one business day with a short scoping call.
The agent reads holds, matches and supplier history, explains why each invoice is stuck and drafts the fix for an analyst to approve.
The agent compares balances with budget and prior periods and drafts variance commentary with the transactions behind it.
The agent pairs subledger and bank or GL items, flags breaks with likely causes and keeps the evidence for audit.
Measure today: volume, hours, cycle time and error rate for the chosen process.
Connect read-only Fusion data (BI Publisher, OTBI or REST) and build the agent with your rules.
Your team uses the agent on live work, approving or correcting each suggestion.
Results against the baseline, the run cost and a plan to scale, extend or stop.
No. During the pilot it only reads data and drafts suggestions. People in your team approve and do any postings in Fusion as they do today.
A process owner for about two hours a week, an analyst who will use the agent, and read-only access through a BI Publisher report, OTBI or the REST APIs.
Week 6 is a real decision point. If the numbers do not justify going on, you stop with the baseline, the findings and no further commitment.
A fixed fee for the six weeks, agreed after a scoping call once the process and data sources are clear.