Creditas is the Latin American analogue of a first-line STP claim: 90% of home-equity first-line analyses automated in a dated quarter, with 60% of signatures untouched. Use it for the role shift. Do not use revenue per employee or ‘AI-assisted’ legal review as proof.
AI value · Share of Home Equity first-line credit analyses completed without the historic human default
Company-reported
90% of first-line credit analyses automated in Q1 2026
No treated application count, no time baseline, no loss/rework comparison. Company-reported. Do not attribute enterprise revenue-per-employee to this workflow.
Before
Performs first-line credit analysis on incoming home-equity applications. → Reviews contracts and validates signatures.
After
Automates 90% of first-line credit analyses and 60% of signature validations; legal review remains AI-assisted. → Handle the non-automated slice and exceptions so origination can scale without proportional headcount.
Human boundary
90% first-line automation implies machine completion of that step for the eligible majority. Final credit policy and the 10% residual remain human. No public authority matrix.
Why it matters
First-line credit analysis and signature validation do not require human review on every home-equity file.
This case is company-reported. Use it for the operating-model shift; do not treat the numbers as independently measured.
How the work changed
Before
How the work ran before the change.
Step 1 of 2
Credit analyst
Performs first-line credit analysis on incoming home-equity applications.
ControlHuman first-line review of the file
Step 2 of 2
Operations / legal ops
Reviews contracts and validates signatures.
ControlHuman validation
What changed
First-line credit analysis and signature validation do not require human review on every home-equity file.
Decision rightHuman decision retained
After
How the same work runs now.
Step 1 of 2
AI underwriting back-office
Automates 90% of first-line credit analyses and 60% of signature validations; legal review remains AI-assisted.
ControlCompany-stated automation rates; residual human lane implied but not specified
Step 2 of 2
Human credit / ops staff
Handle the non-automated slice and exceptions so origination can scale without proportional headcount.
ControlNot publicly specified
Process model built from the published workflow evidence for Creditas. Every step, actor, and control appears in full below.Every step, actor, and control
Exception path
The unpublished 10% of first-line analyses and 40% of signature validations.
Decision authority
90% first-line automation implies machine completion of that step for the eligible majority. Final credit policy and the 10% residual remain human. No public authority matrix.
Before
#
Actor
Action
Control
01
Credit analyst
Performs first-line credit analysis on incoming home-equity applications.
Human first-line review of the file
02
Operations / legal ops
Reviews contracts and validates signatures.
Human validation
After
#
Actor
Action
Control
01
AI underwriting back-office
Automates 90% of first-line credit analyses and 60% of signature validations; legal review remains AI-assisted.
Company-stated automation rates; residual human lane implied but not specified
02
Human credit / ops staff
Handle the non-automated slice and exceptions so origination can scale without proportional headcount.
Not publicly specified
Work that left the path
Routine first-line file assembly and a majority of signature checks
Human role before
Humans performed first-line credit analysis and signature validation as the default path.
Human role after
Most first-line analysis and a majority of signature validations are machine-completed. Humans work the residual. Binding credit policy ownership is not described.
AI role
First-line credit analysis engine plus AI-assisted legal/contract generation and majority-autonomous signature validation.
Outcomes
Share of Home Equity first-line credit analyses completed without the historic human default
Company-reported
Human first-line analysis as the operating default (implied 0% autonomous first-line)→90% of first-line credit analyses automated in Q1 2026
Q1 2026 (results dated 2026-05-07) · Home Equity record origination quarter; portfolio +33.8% YoY; company origination R$1.1bn in the quarter (all products)
No treated application count, no time baseline, no loss/rework comparison. Company-reported. Do not attribute enterprise revenue-per-employee to this workflow.
Signature validations with no human intervention
Company-reported
Human signature validation as default→60% require no human intervention
Q1 2026 · Home Equity operations as disclosed in the same results narrative
No volume denominator.
What leaders can reuse
Anti-pattern
Blending collections-agent metrics, coding-agent metrics, and home-equity underwriting into one ‘AI productivity’ story.
Questions
01What is our equivalent of the 10% residual, and who staffs it?
02Would we publish the automation rate if we also had to publish early-arrears by origination vintage?
Portability conditions
A high-volume secured product with documentable first-line rules
Willingness to publish an automation rate and keep a residual desk
Credit-quality monitoring that is not yet in the public record
Reputation risk
medium: single IR disclosure, no independent audit, no loss comparison.
Evidence and authority
What the public record supports.
Current · updated
1 primary; publication outcomes are reported.
Bundle 1.0.0 · reviewed 2026-09-06 · stable ID 45fb416544e597d1
