The question is the real product requirement
When teams design reporting software, it is very easy to start with the screen. Which dashboard should we build? Which chart belongs at the top? Which filters should the user have?
I prefer to start one step earlier: what is the finance team actually trying to answer?
How much did we pay this month? Which currencies drove the change? Who are the largest counterparties? Why are more payments being rejected? Which bank or entity sits behind the movement? What does the CFO need to understand before making a decision?
If the dashboard does not make those questions easier to answer, the dashboard is not doing enough.
Recurring questions should already have a maintained answer
For example many payment questions are not unique. Treasury teams across companies repeatedly look at value, volume, currencies, counterparties, countries, payment types and rejection patterns.
That is why Nomentia Advanced Analytics starts with out-of-the-box dashboards and reports maintained by Nomentia.
The purpose is not to reduce flexibility. It is to remove unnecessary report-building from questions that are already well understood. A recurring question should not become a recurring BI project.
Consistency is a form of efficiency
A report saves time only when people trust the logic behind it.
If every analyst builds their own version of payment volume or applies a slightly different filter, the organisation spends time reconciling reporting instead of discussing what the result means.
A maintained dashboard creates a common baseline. It gives finance a consistent starting point and makes period-to-period comparisons easier to defend.
A blank canvas still has a place
There will always be questions we did not predict.
Different companies have different management structures, bank relationships and reporting requirements. For those cases, self-service reporting is important.
The ownership needs to stay clear. Nomentia owns the logic behind the out-of-the-box reports. The customer owns the logic behind the reports it builds. That distinction makes the reporting model more useful because users understand which answer is maintained as a standard and which one reflects their own design.
Natural language makes the ad-hoc question cheaper to answer
The reporting requests that interrupt treasury most are often the ones that do not belong in a monthly dashboard.
Someone asks which bank had the highest number of rejections. The CFO wants the largest counterparties for one entity. A user wants to compare the current period with the previous one before a meeting.
With Nomentia AI, users can ask those questions in natural language to the data and dashboards they are authorised to access.
That does not make every chat answer a new official report. It means the cost of exploring an ad-hoc question can become much lower.
I want the dashboard to lead naturally to the next question
A good dashboard should not end the investigation.
If payment volumes are up, the user should be able to see which entities, currencies or counterparties explain the increase. If rejection rates have changed, the next step should take the user toward the bank response, reason code and individual payments.
The path from summary to evidence is one of the most important parts of the experience. Treasury needs to be able to challenge the number without leaving the reporting environment.
Payments are a strong place to begin
The first scope of Nomentia Advanced Analytics is Payments.
That is a deliberate starting point. Payment data already contains a rich record of outgoing cash activity, and the questions around it are concrete enough to build useful reporting from the beginning.
Who did we pay? How much? In which currency? Through which bank? What failed? What changed? These are operational questions, but they also matter for liquidity, bank management and CFO reporting.
The value appears when users stop rebuilding the same answer
I do not expect Excel to disappear from treasury, and I do not want it to. It remains useful for flexible analysis.
What I do want to reduce is the situation where every recurring management question starts by exporting the same operational data and rebuilding the same logic.
The more of that baseline we can provide in Nomentia, the more time treasury has to interpret the result.
Advanced analytics becomes more useful when AI is part of the access model
The combination I find particularly interesting is a maintained reporting baseline plus natural-language access.
The dashboard answers the questions we know will be asked. Self-service reporting covers the organisation-specific views. Nomentia AI helps with the questions nobody planned for.
Those three modes give finance different ways to reach the same governed data without forcing every question into the same interface.
Start with the question, then choose the best way to answer it
That is the principle behind the way I think about advanced analytics in treasury.
Some questions deserve an out-of-the-box dashboard. Some deserve a customer-built report. Some should simply be asked in natural language and answered once.
The reporting experience becomes better when the system can support all three without losing the connection to the underlying data and permissions.
The question comes first. The dashboard, report or AI interaction is the way we choose to answer it.
Marc Vietor
Chief Product Officer, Nomentia