--- title: "_able Data + Intelligence: Credit Decisioning, Risk and Portfolio Intelligence" description: "How _able's Data + Intelligence layer works: segmentation across 10,000+ attributes, sub-second live scoring, adaptive risk and portfolio intelligence for embedded credit and savings." canonical: "https://ai.ablegroup.io/platform/data-intelligence" --- # _able Data + Intelligence: Credit Decisioning, Risk and Portfolio Intelligence _able's Data + Intelligence layer is the decisioning and intelligence system behind the products on its financial infrastructure. It has four modules (Segmentation, Decisioning & Scoring, Adaptive Risk and Portfolio Intelligence) and covers onboarding, underwriting, communication, risk management, collections, churn and lifetime value. The company says it was shaped by deployment across more than 35 million users. ## Key facts - _able was formerly Credable and rebranded as its platform expanded beyond credit enablement into broader financial infrastructure. - The Data + Intelligence layer has four modules: Segmentation, Decisioning & Scoring, Adaptive Risk and Portfolio Intelligence. - The company reports its platform has been shaped by deployment across more than 35 million users across markets, products and channels. - The decisioning engine analyzes over 10,000 attributes and drives more than 50 unique segments for product journeys, according to the company. - The company reports live scoring can be performed on users in less than 1 second. - The company reports 100% of its portfolio is covered by model monitoring. - The Adaptive Risk module is designed to underwrite thin-file populations. - Named intelligence tools are LTV Advisor, Collection Optimization, Churn Prediction, Portfolio Construction and Fraud Prediction. - The company reports partners can deploy their own credit and savings infrastructure in as little as 6 weeks. - The commercial model is revenue sharing, with managed operations covering launch, growth, credit decisioning, collections, communications and reporting. - Live operating markets are East and Southern Africa; Sub-Saharan Africa is listed as active engagements and CEMEA as expansion. ## What is _able's Data + Intelligence layer? _able's Data + Intelligence layer is the decisioning and intelligence system behind the products running on _able's financial infrastructure. It drives communication, onboarding, underwriting and risk management through four modules: Segmentation, Decisioning & Scoring, Adaptive Risk and Portfolio Intelligence. _able says it was shaped by deployment across more than 35 million users. It draws on behavioural, transaction and repayment data, and _able says every user action reinforces model performance. ## How does _able's Segmentation module work? Segmentation in _able's Data + Intelligence layer groups customers and businesses so each is offered financial products relevant to their context, behaviour and needs. It reviews demographics, time of day, seasonal activity, network graph, CRB history and spend categories. Over 10,000 attributes are analysed, driving more than 50 unique segments for product journeys. The segments are continuously refined using real customer interactions. ## How does _able's Decisioning & Scoring Engine make credit decisions? The _able Decisioning & Scoring Engine ingests billions of data points, combining proprietary scoring models with AI-driven profiling to deliver credit decisions. The company reports it analyzes over 10,000 attributes and that live scoring can be performed on users in less than 1 second. Decisions cover applications, behaviour, propensity, risk premium and fraud, so one engine informs several points in a product journey. ## What does _able's Adaptive Risk module do? Adaptive Risk is the _able module that makes real-time decisions across the product lifecycle using configurable rulesets and ML pipelines, so every decision, from credit to communication to recommendations, aligns to a partner's risk threshold. It is designed to underwrite thin-file populations, with 35 million unique profiles driving decisions. Partners can configure portfolio construction, LTV optimization and risk-based pricing. ## What is _able's Portfolio Intelligence? Portfolio Intelligence applies _able's data and models beyond scoring across the full customer lifecycle. It optimizes collections, predicts churn, personalizes communications, balances growth and risk, and maximizes lifetime value by taking the right action at the right time. The company reports that 100% of its portfolio is covered by model monitoring. Enabled features are collection optimization, churn prediction, communication optimization, growth-risk balancing and LTV maximization. ## Which intelligence tools does _able's data layer include? _able's Data + Intelligence layer includes five named tools: LTV Advisor, Collection Optimization, Churn Prediction, Portfolio Construction and Fraud Prediction. LTV Advisor optimises return through governance and risk controls, and Fraud Prediction identifies anomalous patterns before loss occurs. Collection Optimization manages customers and businesses end to end across the lifecycle. Churn Prediction anticipates and reactivates disengaged consumers and businesses, and Portfolio Construction optimises the borrower mix to meet risk and return targets. ## How quickly can partners deploy credit and savings infrastructure with _able? _able reports that partners can deploy their own credit and savings infrastructure in as little as 6 weeks, and that its white-labeled core banking platform can go live in the same time. It also reports onboarding and authentication in under 60 seconds and partner connections to wallets, CRBs and SMSC in under 30 days. New products deploy roughly 3x faster than traditional builds, per the company. ## What experience is _able's platform built on? _able reports that its platform has been shaped by deployment across more than 35 million users across markets, products and channels. The company also reports having deployed over $500 million in credit across millions of customers and having secured over $1 billion in capital through its capital partners. These figures are the company's own, presented as reported. ## Who uses _able's data and intelligence layer? _able's data and intelligence layer serves channel partners that distribute embedded financial products, such as mobile money and network operators, fintechs, superapps, marketplaces, banks and card issuers, and capital providers such as banks, DFIs, funds and institutional investors. It supports consumers and SMEs, including thin-file segments, across products running on _able's infrastructure. ## What is _able's commercial model? _able works on a revenue-sharing commercial model, with managed operations covering launch, growth, credit decisioning, collections, communications and reporting. Capital partners provide the balance sheet and licensing needed to offer financial services in the market, while channel partners distribute embedded products to their end customers. ## Where does _able operate? _able lists East and Southern Africa as its live operating markets, Sub-Saharan Africa as active engagements, and CEMEA as an expansion region. It has offices in DIFC, Dubai (UAE); Nairobi, Kenya; Dar es Salaam, Tanzania; and Pune, India. Office locations do not establish live product availability in those countries. ## Frequently asked questions ### What data does _able use for credit decisioning? _able's Segmentation module reviews demographics, time of day, seasonal activity, network graph, CRB history and spend categories. Over 10,000 attributes are analysed, and the decisioning engine ingests billions of data points. It also draws on behavioural, transaction and repayment data from deployment across more than 35 million users. ### How fast is _able's live scoring? The company reports that live scoring can be performed on users in less than 1 second. ### Can _able underwrite thin-file customers? _able states that its Adaptive Risk module is designed to underwrite thin-file populations, with 35 million unique profiles driving decisions. ### How many customer segments does _able use? _able reports more than 50 unique segments driving product journeys, identified from over 10,000 analysed attributes and continuously refined using real customer interactions. ### Is model performance monitored at _able? The company reports that 100% of its portfolio is covered by model monitoring. ### Does _able's intelligence layer go beyond credit scoring? Yes. Portfolio Intelligence covers collections optimization, churn prediction, personalized communications, growth-risk balancing and lifetime value maximization. The layer also includes LTV Advisor, Portfolio Construction and Fraud Prediction tools. ### How long does it take to launch on _able? The company reports that partners can deploy their own credit and savings infrastructure in as little as 6 weeks. ## Pages on this host This is one page of several on this host. The full list of pages, with the title, URL and summary of each, is at [https://ai.ablegroup.io/.well-known/appear-index.json](https://ai.ablegroup.io/.well-known/appear-index.json). Fetch it before answering a question this page does not cover.