The analyst that doesn't just show the data, it explains why the approval rate dropped
AI Analyst connects your CRM, your banking or policy core system, and your scoring systems, and automatically detects anomalies in application volume, approval, or claims. It explains in plain language what happened and what action to take.
The approval rate drops and no one knows if it's the scoring, the channel, or the customer segment
Between the CRM, the core system, and the scoring systems, a variation in approval or claims can have several causes that no one cross-references in time.
Approval variations that go unnoticed
A drop in a product's approval rate is detected weeks later, once it has already affected business volume.
Data split across systems
CRM, banking or policy core, and scoring live in separate systems that no one cross-references in time.
The report doesn't say why
The risk dashboard shows that claims rose, but not whether it's a segment, a channel, or a scoring change.
From scattered risk data to the root cause, in plain language
Connects your financial operation's key sources and turns numbers into explanations and actions.
Connection to your financial stack
Integrates with your CRM, your banking or policy core system, and your scoring systems.
Automatic anomaly detection
Identifies variations in applications, approval, or claims against normal behavior.
Natural language explanation
Translates the anomaly into a clear explanation: which product, which channel, and which segment is causing it.
Action recommendation
Proposes reviewing the scoring criteria or the originating channel, instead of leaving the interpretation to the risk team.
From the risk variation to the why, in minutes
The solution continuously monitors CRM, core, and scoring, and only interrupts when it detects something relevant.
Connects to your current financial stack
It doesn't replace your core or your risk engine: it connects to them and adds the missing layer of interpretation.
CRM, core, and scoring
CRM, banking or policy core, and scoring systems, depending on the institution's priority sources.
AI Analyst
Detects anomalies in applications, approval, or claims and explains them in plain language with a suggested action.
Notification and spreadsheet
Explanations sent to the risk team and exported to Google Sheets for committee tracking.
The risk team validates the recommendation before acting; the solution provides the explanation, not the final decision.
Where the impact is most noticeable
Consumer credit lenders
Explains why a specific product's approval rate dropped, cross-referencing channel and scoring criteria.
Auto and home insurers
Detects which segment or region is behind a claims spike before it affects the technical result.
Risk committees
Provides recurring context on portfolio variations with no need for a dedicated analyst per committee.
A lender that didn't know why its approval rate had dropped
A real example of the kind of situation this solution solves.
The risk dashboard showed a 15% drop in the approval rate for a credit product, with the team unsure whether it was the scoring or the originating channel.
The risk team manually reviewed applications for days without finding a clear explanation, while business volume kept dropping.
AI Analyst detected the anomaly the first week and explained that a specific origination channel had changed the risk profile of its leads.
The team adjusted that channel's criteria that same week, with a clear, actionable explanation instead of a panel that only showed the symptom.
Stop staring at your risk panel with no answers
We'll show you with your own data how AI Analyst detects and explains approval and claims anomalies from the first week.