The product
The product is designed to find patterns beyond known issue lists and bring the facts into a risk review. Test discovery on the firm’s records, including cases left out of known groups.
See a worked exampleProgram maturity
Complaints Program Maturity Assessment
Review your complaints program. Use the assessment to identify gaps and plan next steps.
This is a self-review, not a regulator’s rating.
FairBorrow™.Ai / Complaints
What can complaints tell you?
A closed case can still point to an open risk.
Read what the customer said. Check the facts and the process. Use the findings to decide what needs to change.
How value is created
The tool. The expertise. Your team.
Useful findings depend on sound data, knowledge of the business and a clear path to action.
Praful’s role
Set the scope, check the data and test what the findings mean. Bring knowledge of rules and day-to-day work to the next step.
Meet the founderYour team’s role
Add business context, review the findings and decide what to do. Name the owners and check whether the changes work.
Get in TouchA pattern is a reason to review. Neither AI nor the absence of manual labels makes a method free of bias. Test the data, the grouping and other possible causes before reaching a conclusion.
From patterns to action
Look beyond the label.
Test the explanation.
Case labels and closure rates do not tell the whole story. Start with the full records, including inquiries, open cases and partner contacts. Note missing records and limits on access.
Unsupervised learning groups records without fixed outcome labels. It can help surface concerns no one thought to search for. It still needs testing. Expert judgment helps explain the findings, but should not set the whole boundary of what can be found.
Link each concern to the facts and the conditions of any rule that may apply. Keep contrary evidence visible. A score is not proof of a breach.
Combine findings that share a cause into one workable action plan. Name the owner, check who else was affected and test the changed process. Keep a clear reason for closing or reopening the issue.
See how the review worksQuestions for the next review
What do the records show?
I
Labels
Does the assigned category explain the concern? Can the facts support the view without the label?
II
Discovery
Can an unfamiliar pattern reach Compliance? What happens to small groups and records that fit no group?
III
Rules and evidence
Which facts make a duty relevant? What evidence could change the conclusion?
IV
Coverage and timing
What was left out? Is the problem new, or has a late feed only now made it visible?
V
Decisions and action
Can a reviewer trace the finding to a decision, a shared repair and proof that the fix works?
Worked assessment
See how the facts lead to action.
Follow a sample case. See how new records change the result.
View the example Focused reviewStart with one review question.
Agree what to review, which records are needed and what the work should help decide.
Explore a reviewPOINT OF VIEW · VERSION 6 · 12 PAGES
Complaint patterns and actionable risk assessment
Five questions on labels, discovery, evidence, coverage and decisions. By Praful Mainker.
Product direction
A wider role in risk management.
Praful leads the product’s growth. The aim is to help more teams turn data into risk reviews they can use.
Complaints to action
Find patterns, assess their meaning and set out useful next steps. Start with a founder-led discussion of the firm’s needs.
Make review repeatable
Help teams use a consistent approach across reviews. Keep the source facts, reasoning and follow-up clear.
Extend across risk work
Explore related needs in operations, payments and financial crime. Test the fit and value of each new use.
Planned areas are a direction for growth, not released features or promised dates. Which need should shape the next step?
Get in TouchA USEFUL FIRST CONVERSATION
What deserves a closer look?
Talk through your needs with Praful Mainker. Agree whether a focused review would help.