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AI-POWERED OPERATIONS

Scale Credit Operations Without Adding Headcount

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THE CHALLENGE

Growing Credit Portfolios
Create Operational Pressure

Growing portfolios, tighter teams and rising supervisory expectations slow annual reviews, financial spreading and covenant monitoring, increasing operational risk.

Anaptyss delivers managed credit risk operations aligned to your credit policy and executed in your systems. We extend your team's capacity with trained analysts, transparent reporting and audit ready delivery.

OUR SOLUTION

Managed Credit Operations,
Built for Scale

Annual reviews, financial spreading, covenant monitoring and portfolio support are delivered by trained credit specialists. AI accelerators built under PrAIxis automate document-intensive and repetitive work, while your credit officers retain every credit decision.

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WHAT WE DO

Credit Operations We Deliver

Annual and
Periodic Reviews

Financial statement analysis, industry commentary, risk rating recommendation and the written credit memo, delivered on schedule with weekly completion reporting.

Financial
Spreading

Tax returns, audited statements and interim financials spread to your conventions and entered in your system, including global cash flow and guarantor analysis.

Underwriting
Support

Credit memo preparation, term sheet drafting support, risk based pricing input and policy exception tracking across SME and middle market lending.

Risk Rating and
Grading

Probability of default and loss given default input, rating recommendations against your framework, and the supporting rationale for each grade.

Covenant Testing
and Monitoring

Covenant registers built from the executed credit agreement, scheduled compliance testing, breach identification with evidence, and amendment tracking.

Portfolio Monitoring
and Early Warning

Delinquency pattern analysis, watch list maintenance, concentration reporting and trigger based alerts routed to the relationship team.

Credit Policy and
Regulatory Support

Policy documentation and updates, internal rating framework support, examination preparation and remediation against an agreed plan.

Risk Modelling
and Analytics

Credit scoring model development and validation, stress testing, risk segmentation and ongoing model performance monitoring.

OUR APPROACH

Delivered Through Digital Knowledge Operations™

Four things change once annual reviews, spreading and covenant testing move to a trained, dedicated team.

01

Your Policy Becomes
Our Standard

We document your credit policy, rating framework, spreading conventions and exception rules before the first file is touched. Our analysts are trained and tested against that standard, which is updated whenever your policy changes.

02

A Named Team,
Not a Shared Pool

You work with the same analysts, team lead and quality reviewer throughout the engagement. They learn your portfolio, borrowers and systems, and complete work directly in your loan origination system, spreading tool and document repository.

03

Our Platforms
Carry the Volume

Proprietary platforms automate financial spreading, covenant extraction, document processing and control testing. CovenAce, Index AI and ANA reduce repetitive work, improve consistency and support quality throughout the engagement.

04

Analysts Hold the
Judgement

Analysts perform the analysis, prepare recommendations and write the credit memo, while your credit officers retain every credit decision. Each completed file includes the supporting inputs, analysis, reviewer and date, creating an audit-ready record from day one.

WHAT IMPROVES

What Changes for Your Credit Team

Annual and periodic reviews are completed on time, with weekly reporting against agreed service levels.

IMPACT

Measurable Outcomes

95%

95% annual review completion across specialty credit portfolios for a US super-regional bank.

93%

93% accuracy predicting delinquent and written-off accounts for a US commercial lender, using a machine learning credit scoring model.

40%

40% faster validation of third-party credit risk models for a US commercial lender.

USD400,000

USD 400,000 annual savings for a US commercial lender, through a machine learning credit risk scoring model.

Start with a
Credit Operations Review

We will review your workload, credit policy and systems, then show what a managed team would change in capacity, quality and turnaround.