Solutions

Integrated digital lending solutions from acquisition to post-loan operations

For fintech clients entering or expanding in emerging markets, Dimens AI brings together business systems, the Dimens Copilot decision engine, risk models, operating outreach, and compliance governance to help clients launch faster, manage risk more steadily, and operate more efficiently.

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Integrated capabilities

Eight key stages working together around business outcomes

AcquisitionAccessCredit decisioningDisbursement RepaymentCustomer serviceComplianceAnalytics

Dimens Copilot Business system, decision engine, and Agent orchestration

Business Flow

Capabilities for the full lending operating lifecycle

Clients are not facing a single system problem. They need growth, risk, payments, service, compliance, and business analytics to work together. Dimens AI uses integrated systems and AI decisioning to place key stages into one executable business flow.

Acquisition

Identify channel quality, fraud risk, conversion efficiency, and user lifetime value.

Access

Integrate KYC, device, behavior, and local data sources to improve verification efficiency.

Credit decisioning

Support real-time decisions through scoring models, rules, limits, and pricing flows.

Disbursement

Connect payments, contracts, orders, and accounting so approval results move quickly into execution.

Repayment

Configure better post-loan strategies using repayment behavior, delinquency migration, and promise records.

Customer service

Improve service efficiency with customer service systems, intelligent outbound calls, task distribution, and QA.

Compliance

Write access boundaries, permissions, data authorization, audit trails, and customer protection into the system.

Operating analytics

Continuously track conversion, risk, cost, asset performance, and team operating efficiency.

Dimens Copilot

A decision engine and the orchestration system for Agent collaboration

Put rules, models, strategy flows, gray release, human review, and performance monitoring into one framework so AI moves beyond recommendations into real business actions.

Acquisition Agent

Identify channel quality, abnormal traffic, and budget efficiency to support acquisition strategy adjustment.

Marketing Agent

Recommend recall and conversion actions based on user segmentation, conversion probability, and outreach feedback.

Risk Agent

Connect identity, device, behavior, model scores, and rules to support onboarding and credit decisioning.

Operations Agent

Track orders, customer service, QA, and task flows to identify process bottlenecks and drive collaboration.

Post-loan Agent

Match post-loan follow-up strategies based on risk level, repayment behavior, and outreach history.

Product Architecture

A clear product portfolio for launch, risk, and operations

The product is not a set of isolated modules. It is layered around client operating tasks: the business system carries the workflow, Dimens Copilot handles decisioning and orchestration, and risk, traffic, service, and voice capabilities improve key stages.

Business system foundation

BlueSky SaaS

Cover product configuration, order flows, risk integration, disbursement and repayment, reporting, and operations management.

AI decisioning hub

Dimens Copilot

Manage rules, features, models, strategy flows, gray release, Agent orchestration, and decision monitoring.

Risk capabilities

Lingying Risk

Provide risk insight around identity verification, anti-fraud, credit scoring, limit decisioning, and in-loan alerts.

Growth and outreach

K+ / Moxiang / Daniu Voice

Support traffic acquisition, customer service collaboration, intelligent outbound calls, voice interaction, QA, and post-loan operations.

Implementation Path

Launch and optimize in phases around real business execution

We do not see delivery as a one-time system installation. We help clients reduce emerging-market uncertainty step by step through market access, system configuration, gray validation, and continuous operations.

01Business diagnosis

Assess market conditions, licensing paths, user flows, data availability, payment conditions, and operating resources.

02System configuration

Complete localized configuration of product, workflow, risk, customer service, reports, permissions, and data interfaces.

03Gray validation

Validate business quality through limited traffic, strategy gray release, model monitoring, and post-loan feedback.

04Continuous optimization

Continuously iterate around conversion, risk, cost, complaints, and compliance requirements.

Use Cases

For fintech clients entering or expanding in emerging markets

Whether building a digital lending product from zero or improving existing risk, post-loan, and operational efficiency, Dimens AI provides capabilities based on the client’s market stage.

New market launch

Configure products, onboarding, contracts, payments, risk, and reports to shorten the path from market assessment to operable business.

Risk system building

Build identity verification, anti-fraud, scoring models, limit pricing, in-loan alerts, and strategy review capabilities.

Operational efficiency improvement

Improve multi-team collaboration through task flows, customer service systems, intelligent outbound calls, QA reports, and post-loan strategies.

Cross-market expansion

Maintain stable product experience, risk management, and service quality across different regulatory, payment, data, and operating environments.