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Credit · Insurance · Applied AI

Elevate the Take Rate of credit, collections and insurance.

Consulting in credit engineering and risk, and partnerships with technology and AI platforms for financial services and insurance in Brazil.

INPUT Bureau + Behav. SCORE ENGINE 742 Gini 0.61 · K-S 0.48 POLICY ENGINE APROVADO TTD < 4 min REFERIDO MANUAL AI AGENT KYC · Subscrição Cobrança · CX LGD TARGET 3.2% APPROVAL RATE +15pp

The distance between available technology and production.

Strategy arrives fully formed

Diagnosis and policy design exist, and they are well made. Turning that into rules, cut-offs and parameters inside the engine is a different job.

The technology is already mature

Decision engines, data and ready AI agents exist in the market. Between the platform and the result sits the fit to each operation's data, policy and process.

The internal team knows the operation

Nobody understands the business better. The agenda, though, is split between roadmap, regulation and daily work, and little room is left for quantitative risk.

Take Rate works on the how: from choosing the technology to execution measured in KPIs.

Four verticals. One obsession: results in your P&L.

We act end-to-end - from credit journey architecture to multichannel orchestration with agentic AI.

Credit Strategy & Journey

We design and implement decision pipelines for individuals/companies, BaaS and Corban channels - from credit policy to engine parameterization.

FICOExperianNeurotechBaaS

Risk Engineering & Modeling

We build and calibrate scoring, LGD and default probability models using Machine Learning - integrating with existing platforms.

ML / XGBoostScorecardLGDGini

Agentic Operations (AI)

We automate KYC, digital credit desk and preventive collections with AI agents - reducing TTD from days to minutes.

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Cross-Channel Orchestration

We orchestrate credit journeys across multiple channels - app, SMS, WhatsApp, email and physical - ensuring offer consistency and personalization at each cycle stage.

WhatsApp APISMSCRMCDP

Partnerships with technology and AI platforms.

I take platforms already proven in other markets to banks, fintechs, SCDs, insurers and collections operations in Brazil, adding to the partner's local commercial operation.

PLATFORM proven product NETWORK access and qualification DECISION MAKER meeting and follow-through PROPOSAL · POC scope and proof of value OPERATION rollout and SLA I lead the partner leads
01

What I bring

Network and follow-through

18 years of relationships with the people who decide in credit, risk, collections, insurance and customer service.

  • Network Prospecting in the right accounts, not a cold list.
  • Filter Qualification of pain, budget and timing before taking up the partner's calendar.
  • Access A meeting with the person who signs, not the go-between.
  • Pace Keeping the process moving between meetings, up to the proposal.
  • Buying Reading the internal process: legal, compliance, security and procurement.
  • Account Local presence after signature, where it makes sense.
02

What the partner leads

Product and delivery

The platform, the pricing and the operation stay with whoever built the product.

  • Proposal Scope, pricing and contract.
  • POC Proof of value on the client's own data.
  • Deploy Integration and go-live.
  • SLA Support and account growth.
  • Roadmap Product decisions.

Ways into the network

01

Credit and acquisition

Origination, decision flow and base activation.

02

Collections and recovery

Contact cadence, negotiation and settlement.

03

Insurance

Quote, underwriting, renewal and claims.

04

CX and service

Customer service, retention and after-sales.

Banks Fintechs SCDs Insurers Collections Payments

Coverage, exclusivity and compensation are defined with each partner.

Talk about a partnership

Our success is measured by your indicators.

We don't deliver slides. We deliver better Gini, LGD and Approval Rate.

Gini · K-S

Scorecard Statistical Precision

We calibrate the scorecard to maximize separation between good and bad payers - increasing policy precision without increasing risk.

LGD

Loss Given Default

We structure preventive collection strategy and collateral management to reduce effective loss on defaults - directly in your P&L.

Approval Rate

Approval Rate

We recalibrate the score cutoff and credit policies to grow approval without increasing delinquency - responsible expansion.

TTD

Time-to-Decision

Automation with AI agents and parameterized decision engines reduces decision time from days to minutes - experience and efficiency.

Disclaimer: The indicators and results presented on this website (Gini, LGD, Approval Rate, TTD, among others) are references from real projects conducted by Take Rate. Past results do not guarantee identical results in future projects, because each credit operation has its own characteristics, data, and context. Take Rate is a B2B consultancy and does not offer, intermediate, or grant credit directly to end consumers. Our services are provided exclusively to businesses.

Skin in the game. We win when you perform better.

Predominantly variable compensation, tied to real improvement of agreed KPIs.

1

Initial Diagnosis

We map your operation, identify improvement opportunities and define the project's success KPIs together with your team.

2

Hands-on Implementation

We parameterize engines, build models and deliver them running in production - 4 to 12 weeks depending on scope.

3

Success Fee

We are compensated based on the real improvement of agreed KPIs. You pay more when you earn more.

Setup Fee

Project Activation

Coverage of backtest and initial structuring. Fixed and reduced amount - minimum commitment to start.

Success Fee

Performance Compensation

Percentage of measurable improvement in agreed KPIs. Total incentive alignment.

Retainer (Opcional)

Continuous Support

For clients who want continuous monitoring, policy adjustments and internal team support.

Setup fee, success fee and retainer describe consulting engagements. Partnerships with technology platforms follow their own agreement, defined with each partner.

Ricardo Wodianer de Mello

Ricardo Wodianer de Mello

18+ years in data, AI, credit risk, fraud and compliance, delivering decisioning for banks, fintechs, insurers and collections operations in Brazil.

Today I run Take Rate on two fronts: consulting in credit engineering and agentic operations, and partnerships with technology and AI platforms in the Brazilian financial services and insurance market.

MIT Professional Education

Track record: what I delivered, and for whom

Serasa Experian

Credit bureau data and scores for underwriting and risk management.

Banks, lenders and insurers

Neurotech

Decision Designer for insurance underwriting. Riskpack for fraud in credit and cards.

Banks, lenders, insurers and retail

Provenir

Pre-sales across Latin America and, later, Customer Success & Growth. Decision engine.

Banks and fintechs

Neoway and JuicyScore

Partner. Big data for decisioning and digital anti-fraud.

Credit and fraud prevention

Sinky

Business Director, until June 2026.

Fintechs

Take Rate

Consulting in credit and agentic operations, and technology partnerships.

Credit, collections and insurance

References & Methodological Alignment

Every decision follows regulatory standards and technical practices consolidated in the credit market.

CAT 01

Regulation & Standards

Regulatory compliance

Adherence to Central Bank standards, international committees and data protection legislation. It is the foundation of any risk model in production.

  • BCB · 4.557 Resolução CMN 4.557: integrated risk management.
  • Basel III Acordo de Basileia III: capital, leverage and liquidity.
  • IFRS 9 IFRS 9 / CPC 48: expected loss and ECL.
  • LGPD Lei 13.709/2018: data treatment and governance.
CAT 02

Frameworks & Technical Standards

Statistical modeling & ML

Widely validated metrics and practices in scoring, model calibration and production governance, comparable and auditable.

  • Gini · K-S Discrimination metrics: good × bad separation.
  • PD · LGD · EAD Expected loss components: IRB and Basel.
  • CRISP-DM Modeling lifecycle: from data to deploy.
  • MLOps Continuous monitoring: drift, PSI and re-calibration.

Let's talk about your operation.

Client or technology partner, the first conversation is the same: direct, with no generic pitch and no proposal before understanding the context.

Response within 24 business hours

Quick response from a senior specialist - no intermediaries, no SDR.

Conversation with a senior specialist

From the first contact, you speak directly with who will execute the project.

No hiring commitment

The initial conversation is to understand your context - you decide the next steps.

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