Smart payment links
Help staff prepare payment links for review before they are sent or used.
APPLIED AI & AUTOMATION
Help your team find transaction records, investigate differences and prepare answers they can check against the source data.
SEE THE APPROACH
This scripted example uses three synthetic settlement records. Try the questions, inspect the data and see what the assistant can—and cannot—answer.
We start with a question your team needs to answer. Then we agree which records the assistant can access and what a person must review.
Discuss an AI use caseWhich settlement exceptions need review?
Two records need attention. Here’s what the sample data shows:
Expected USD 1,250.00; received USD 1,200.00. Difference: USD 50.00. Review the provider statement and fee breakdown.
Expected USD 840.00. Received amount is unknown. Confirm the provider cutoff and request the missing statement.
No financial records changed. Evidence: sample records below.
| Record | Expected USD | Received USD | Status |
|---|---|---|---|
| SET-1042 | 1250.00 | 1200.00 | Amount mismatch |
| SET-1043 | 840.00 | Unknown | Awaiting statement |
| SET-1044 | 620.00 | 620.00 | Matched |
A fixed demonstration, not a live AI service. Answers are based only on these three records.
POSSIBLE USE CASES
These are examples for custom development, not a list of ready-to-use product features. We assess each one against your data and requirements.
Help staff prepare payment links for review before they are sent or used.
Find transactions by asking a question, with links to the records the user is allowed to see.
Suggest matches between records and explain differences for an operator to check.
Review routing data and suggest options within your policies. Payment execution stays under the existing system controls.
Summarize partner activity and commission records for staff with the appropriate access.
Help support staff answer merchant questions using approved guidance and transaction records, with a handoff when needed.
Show which settlements need attention and bring the relevant records together.
Assess whether your historical data can support a useful forecast. Show its assumptions and uncertainty alongside the result.
PRACTICAL GOVERNANCE
Use only records the requesting user is permitted to access, with tenant isolation enforced by the application.
Reference source records and distinguish an observed fact from an inference or suggestion.
Say when evidence is missing. Forecasts need suitable historical data and clearly stated assumptions.
Record relevant requests and decisions. Sensitive actions require explicit human approval and existing risk controls.
AI assistance does not autonomously move money, approve customers, alter financial records, or bypass risk controls. Execution remains in authorized business systems.
PLANNING AN AI PROJECT
You might need help extracting information from documents, preparing an onboarding review or sorting alerts for investigation.
Before choosing an AI provider, we agree what data it can use, how to test its answers and when someone must take over. The preview on this page has no connection to an AI service or financial system.
Start an AI project conversationTELL US WHAT YOU NEED
Tell us what you want to build or improve, what is already in place and where you need help.