Case StudiesFinancial Leasing

Turn every business conversation intoa reusable client asset

From fragmented WeChat conversations to dense contract clauses, NextAI makes sure valuable financial data does not disappear.

Financial Leasing

A Trustworthy Intelligent Decision Platform for Finance

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Client dialogue dies inside chat apps

In financing, insurance, and banking, most client communication happens through WeChat, WeCom, and DingTalk. Loan needs, collateral details, and repayment preferences are trapped in chat history on personal phones.

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Contracts are too dense to finish reading

A financing lease contract can run thirty to fifty pages, with hundreds of critical items around rates, deposits, default clauses, guarantees, and taxes. Manual review is slow and highly error-prone.

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Compliance updates move faster than the business

Financial regulation changes constantly. The same product may face different compliance requirements across regions, and frontline teams cannot retain that level of detail in memory.

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Risk signals stay invisible

Client visits and conversation details often contain early warning signals, such as signs of cash-flow pressure, yet these signals are rarely captured in any systematic way.

Client operations

Automatic capture of business dialogue

With relationship-manager authorization, the AI extracts needs, timing, collateral, decision-makers, and objections from WeCom and DingTalk conversations and writes them into CRM in structured form.

Legal efficiency

Contract review assistant

Upload a PDF contract and the AI returns a five-minute review package with key clauses, deviations from the standard template, risk levels, and revision recommendations.

Compliance intelligence

Regulatory knowledge base

The system continuously ingests central-bank, insurance-regulator, and local-finance guidance, combines it with internal compliance rules, and gives business teams a live compliance brain.

Risk monitoring

Risk signal recognition

Signals from business conversations, visit records, and financial data are analyzed proactively so risk managers can be alerted to abnormal cash flow, sector decline, leadership instability, and related warning signs.

Financial Leasing

A Sustainable Client Operating System

Client background

A listed financial leasing company

The client is an A-share listed financial leasing company with registered capital of RMB 100 million. It operates across medical equipment, construction machinery, shipping, photovoltaic plants, and other sectors, with more than two hundred business staff and assets under management exceeding one hundred billion RMB.

The challenge

Its CIO shared a striking number: the volume of client communication generated every day in WeChat was roughly twenty times larger than what staff manually entered into CRM, yet almost none of that richer data could be used.

The business also relied heavily on long-term customer relationships. A major account might have interacted with three salespeople and five client managers over time. Once a salesperson left, the conversation history disappeared and the new manager had to rebuild trust from zero.

At the same time, the company processed thousands of contracts each year. Every contract required review by legal, risk, and finance teams, making the process labor-intensive, slow, and still prone to error.

What we built

We focused on two directions: getting valuable information in, and getting reliable outputs back out.
For input, we built an intelligent extraction system for business dialogue. When a salesperson chatted with a client in WeCom, the AI automatically identified key elements such as amount, timing, collateral, decision-maker, and objections, then submitted them to CRM in structured form without changing the salesperson’s daily workflow.
For output, we built an intelligent contract review platform. After a contract upload, the AI generated an initial review report within five minutes, highlighted all deviations from the standard template, ranked them by risk, and suggested edits. Legal teams could focus only on the high-risk clauses, cutting workload by seventy percent.

What the client gained

CRM detail improved from “company plus contact” to a richer view covering preferences, decision chains, and objection points.
When salespeople left, one hundred percent of client information was retained, and handover time dropped from two weeks to two days.
Average contract review time fell from five days to one and a half.
Legal teams shifted from reading contracts end to end toward deeper review of high-risk clauses, which better reflected their professional value.

Financial Leasing

Finance-grade security and compliance

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Localized end-to-end deployment

The platform supports deployment models aligned with data-security and personal-information requirements in financial environments.

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Automatic masking of sensitive fields

Sensitive client and contract fields can be masked automatically during processing and use.

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Complete audit logs

Every operation can be logged for internal audit and regulator review.

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CRM integration readiness

The architecture is ready to connect with systems such as Salesforce, Neocrm, and Fxiaoke.

Financial Leasing

We fully understand how high the bar is for compliance and security in finance. A practical first step can be a PoC that avoids sensitive data entirely.