Cheche Group Launches ABAO Agent Family, Deploying AI Across the Full NEV Insurance Value Chain

Rhea-AI Summary

Cheche Group (NASDAQ: CCG) announced the launch of the ABAO Agent Family, five specialized AI agents built on its proprietary insurance large language model to cover the full new energy vehicle (NEV) insurance lifecycle from dynamic pricing to claims and settlements.

Two agents serve external users: a claims companion live with Volkswagen Anhui and Avatr and integrated with PICC, Ping An and China Pacific Insurance, and an underwriting/pricing tool using a NEV intelligent pricing model deployed in over 100 Chinese cities and linked to more than 200 insurers. Three internal agents automate customer service quality control and settlement workflows, lifting settlement workflow efficiency by 30% and overall settlement processing efficiency by 50% without adding headcount, supporting Cheche’s shift toward a Model-as-a-Service platform.

Positive

• Five AI agents launched to cover full NEV insurance lifecycle
• Claims companion live with Volkswagen Anhui and Avatr, integrated with PICC, Ping An, China Pacific Insurance
• Dynamic pricing model deployed in 100+ cities and linked to 200+ insurers
• Settlement workflow efficiency improved by 30% from internal ABAO agents
• Overall settlement processing efficiency improved by 50% with no incremental headcount

Negative

• Company notes it is in the early stages of realizing the commercial potential of its AI-driven insurance infrastructure

Market Context

The platform’s AI-tag history covered 4 prior events, adding context to this five-agent rollout. Dep...

Analysis

The platform’s AI-tag history covered 4 prior events, adding context to this five-agent rollout. Deployment across named partners and quantified workflow gains were notable, while the company’s stated early commercial stage remained the central risk to monitor.

Key Figures

Specialized AI agents: 5 agents Risk-control factors: more than 200 factors Commercial deployment: more than 100 cities +3 more

6 metrics

Specialized AI agents 5 agents ABAO Agent Family

Risk-control factors more than 200 factors NEV intelligent pricing model

Commercial deployment more than 100 cities China deployment

Insurance agreements more than 200 companies Leading insurance companies

Settlement workflow efficiency 30% increase Internal ABAO agents

Settlement processing efficiency 50% increase Without incremental headcount

Previous AI Reports

4 past events · Latest: Jun 24 (Positive)

Same Type Pattern 4 events

Date	Event	Sentiment	24h Move	Catalyst
Jun 24	Dynamic pricing model	Positive	-5.5%	Cheche launched Cheche Score for AI-powered NEV insurance pricing.
Jun 22	AI underwriting launch	Positive	-6.0%	Cheche introduced ABAO Agent for automated insurance renewal workflows.
May 28	Connected vehicle pricing	Positive	+8.9%	Cheche launched an AI-driven pricing product targeting connected NEVs.
Feb 24	AI product recognition	Positive	+26.4%	Tianmu Model received recognition among the Top 100 AI Products.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged history was evenly split between aligned positive reactions and divergent negative reactions.

Key Terms

large language model, blockchain-based documentation, adas/ads, vin, +1 more

5 terms

large language model technical

"built on Cheche's proprietary vertical insurance large language model"

A large language model is a computer system trained on vast amounts of text to understand and generate human-like writing, like a very well-read virtual assistant that can summarize, draft, translate, or answer questions. Investors care because it can change how businesses operate and compete—boosting productivity, cutting costs, or enabling new products—while also creating risks around accuracy, regulation, and security that can affect revenue and valuation.

blockchain-based documentation technical

"integrates leading open-source large model technologies with blockchain-based documentation"

Documentation stored on a distributed, cryptographically secured ledger where each record is linked and time-stamped so entries are hard to alter or delete. Like a permanent, shared spreadsheet that many parties can see and verify independently, it matters to investors because it can improve record-keeping, make audits and ownership records more transparent, and reduce certain kinds of fraud or errors that affect a company’s reported assets and transactions.

adas/ads technical

"NEV structural characteristics and ADAS/ADS operating data"

ADAS (advanced driver-assistance systems) are electronic features in vehicles—like automatic braking, lane-keeping, and adaptive cruise control—that help a human driver operate more safely and comfortably. ADS (automated driving systems) are more capable technologies designed to perform driving tasks without a human actively controlling the vehicle. Investors care because these technologies affect vehicle costs, safety ratings, regulatory approval, liability exposure and competitive positioning—like adding smart autopilot features to a product line.

vin technical

"by inputting an order number, license plate, or VIN"

A VIN (Vehicle Identification Number) is a unique 17-character code assigned to each motor vehicle that acts like the car’s fingerprint, encoding its make, model, engine, assembly plant and production sequence. Investors use VINs to verify inventory, track sales and recall exposure, detect fraud or mismatches, and assess resale and warranty liabilities—information that affects a vehicle maker’s revenue, costs and reputation.

model-as-a-service technical

"the Company's evolution into a Model-as-a-Service (MaaS) platform"

Model-as-a-service is an online offering that lets customers rent access to ready-made predictive or generative models (software that makes forecasts, classifies information, or generates content) instead of building them in-house. For investors it matters because it creates recurring, scalable revenue—like subscribing to a tool library—while exposing providers to costs and risks tied to data quality, compute expenses, customer lock-in and regulatory scrutiny.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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BEIJING, Sept. 1, 2026 /PRNewswire/ -- Cheche Group Inc. (NASDAQ: CCG) ("Cheche" or the "Company"), China's leading auto insurance technology platform, today announced the launch of the ABAO Agent Family, a suite of five specialized AI agents built on Cheche's proprietary vertical insurance large language model ("LLM"). Spanning the full NEV insurance lifecycle — from dynamic pricing optimization to claims processing and specialized diagnostics — the ABAO Agent Family marks Cheche's strategic evolution from a digital insurance transaction platform into an AI-driven insurance infrastructure provider.

Redefining the NEV Insurance Experience for Vehicle Owners and Carriers

Two ABAO agents serve Cheche's external ecosystem of vehicle owners and insurance carrier partners. The first, a claims companion agent, provides NEV owners with end-to-end intelligent support from the moment an incident occurs. It automates the first notification of loss, the damage assessment, and real-time claims status updates across multiple channels, including in-vehicle smart cockpit systems, customer service hotlines, and OEM mobile applications. The agent is powered by a fully automated claims platform that integrates leading open-source large model technologies with blockchain-based documentation, connecting OEM electronic parts catalogues with insurer direct repair networks to enable second-level damage assessment and intelligent loss calculation.

This platform is live with Volkswagen Anhui and Avatr, and fully integrated with PICC, Ping An, and China Pacific Insurance. Cheche also expects to complete integration with Huawei's Yinwang ecosystem in the near term, extending coverage to Yinwang-affiliated vehicle owners.

The second external agent is a decision-grade underwriting and pricing tool built for insurance carrier professionals. Through a natural language interface, underwriters can retrieve millisecond-level multi-dimensional risk analysis, including a Cheche Score rating, risk trend analysis, and tailored renewal strategy, for any vehicle by inputting an order number, license plate, or VIN. The agent is powered by Cheche's proprietary NEV intelligent pricing model, which analyzes more than 200 dynamic risk-control factors across NEV structural characteristics and ADAS/ADS operating data to deliver per-vehicle dynamic pricing across a five-tier risk segmentation framework. The model is commercially deployed across more than 100 cities in China, and Cheche has agreements in place with more than 200 leading insurance companies.

Driving Structural Efficiency Gains Across Cheche's Platform

Three additional ABAO agents are deployed internally to streamline Cheche's own service and operational workflows, underpinning the Company's evolution into a Model-as-a-Service (MaaS) platform. These agents automate customer service quality control, cross-departmental settlement follow-up, and the processing of non-standardized carrier settlement documents. Together, they have delivered measurable operational improvements: settlement workflow efficiency has increased by 30% and overall settlement processing efficiency has increaed by 50%, with no incremental headcount.

"The ABAO Agent Family represents significant advancement in how Cheche deploys AI across the insurance value chain," said Lei Zhang, Founder, CEO and Chairman of Cheche Group. "From the moment a vehicle owner initiates a claim, to the pricing and underwriting decisions made by our carrier partners, to the settlement workflows orchestrated within our own platform — every step of the insurance lifecycle is now enhanced by AI.

"While we are in the early stages of fully realizing the commercial potential of this AI-driven infrastructure, the strong traction and enthusiasm we are seeing across our carrier and OEM partnerships gives us confidence in the strategic direction we are building toward."

Safe Harbor Statements

This press release includes "forward-looking statements" within the meaning of the "safe harbor" provisions of the United States Private Securities Litigation Reform Act of 1995. Forward-looking statements may be identified by the use of words such as "estimate," "plan," "project," "forecast," "intend," "will," "expect," "anticipate," "believe," "seek," "target" or other similar expressions that predict or indicate future events or trends or that are not statements of historical matters. These forward-looking statements also include, but are not limited to, statements regarding existing and new partnerships and customer relationships, projections, estimation, and forecasts of revenue and other financial and performance metrics, projections of market opportunity and expectations, the Company's ability to scale and grow its business, the Company's advantages and expected growth, and its ability to source and retain talent, as applicable. These statements are based on various assumptions, whether or not identified in this press release, and on the current expectations of the Company's management, and are not predictions of actual performance. These statements involve risks, uncertainties, and other factors that may cause the Company's actual results, levels of activity, performance, or achievements to materially differ from those expressed or implied by these forward-looking statements. Further information regarding these and other risks, uncertainties, or factors is included in the Company's filings with the U.S. Securities and Exchange Commission. Although the Company believes that it has a reasonable basis for each forward-looking statement contained in this press release, the Company cautions you that these statements are based on a combination of facts and factors currently known and projections of the future, which are inherently uncertain. The forward-looking statements in this press release represent the views of the Company as of the date of this press release. Subsequent events and developments may cause those views to change. Except as may be required by law, the Company does not undertake any duty to update these forward-looking statements.

About Cheche Group Inc.

Established in 2014 and headquartered in Beijing, China, Cheche is a leading auto insurance technology platform with a nationwide network of around 108 branches licensed to distribute insurance policies across 25 provinces, autonomous regions, and municipalities in China. Capitalizing on its leading position in auto insurance transaction services, Cheche has evolved into a comprehensive, data-driven technology platform that offers a full suite of services and products for digital insurance transactions and insurance SaaS solutions in China. Learn more at https://www.chechegroup.com/en. 

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SOURCE Cheche Group Inc.

FAQ

What is Cheche Group's ABAO Agent Family launched in September 2026 for CCG?

The ABAO Agent Family is a suite of five AI agents covering NEV insurance pricing, underwriting, claims and settlements. According to Cheche Group, it is built on the company’s proprietary insurance large language model to support its evolution into an AI-driven insurance infrastructure provider.

How many AI agents are in Cheche Group's ABAO Agent Family and what do they do?

Cheche Group’s ABAO Agent Family includes five AI agents. According to Cheche Group, two serve external vehicle owners and insurers for claims and pricing, while three internal agents automate customer service quality checks and settlement workflows across the company’s NEV insurance platform.

Which partners are using Cheche Group's ABAO claims companion and pricing tools (NASDAQ: CCG)?

Cheche Group’s claims companion is live with Volkswagen Anhui and Avatr and integrated with PICC, Ping An and China Pacific Insurance. According to Cheche Group, integration with Huawei’s Yinwang ecosystem is expected, extending coverage to additional Yinwang-affiliated new energy vehicle owners.

What efficiency gains has Cheche Group reported from its internal ABAO AI agents for CCG shareholders?

Cheche Group reports a 30% increase in settlement workflow efficiency and a 50% rise in overall settlement processing efficiency. According to Cheche Group, these gains come from three internal ABAO agents and were achieved without adding incremental headcount, potentially improving operating leverage.

How is Cheche Group's NEV intelligent pricing model deployed across China for CCG?

Cheche Group’s NEV intelligent pricing model is commercially deployed in more than 100 Chinese cities and connected to over 200 insurance companies. According to Cheche Group, it analyzes 200+ dynamic risk-control factors to provide per-vehicle dynamic pricing within a five-tier risk segmentation framework.

What does Cheche Group mean by evolving into a Model-as-a-Service (MaaS) platform with CCG?

Cheche Group describes its shift to a Model-as-a-Service platform as using AI models to power internal workflows and external insurance tools. According to Cheche Group, the three internal ABAO agents underpin this strategy by automating quality control and settlement-related processes across its NEV insurance operations.

Is Cheche Group's ABAO AI infrastructure fully commercialized yet for NASDAQ: CCG?

Cheche Group states it is still in the early stages of fully realizing the commercial potential of its AI-driven infrastructure. According to Cheche Group, growing traction and enthusiasm from carrier and OEM partners support confidence in the long-term strategic direction rather than immediate full monetization.