Helport AI Reports Commercial Validation of AI Labor in Global Consumer Finance
AI Collections Reported to Outperform Human Teams by 60% in Controlled Deployments
Company Secures Strategic Partnerships with Major Consumer Finance Platforms Across Southeast Asia and
The Company has secured strategic partnerships with multiple consumer finance platforms operating across
AI Labor Infrastructure
The Company currently operates two commercially active AI Labor business lines targeting the global consumer finance sector:
- Fintech Loan Conversion: AI-driven lead engagement, app download facilitation, borrower onboarding, and loan application conversion via messaging platforms including WhatsApp.
- AI Collections: Autonomous outbound AI calling and multi-channel debt recovery, including promise-to-pay (PTP) acquisition, delinquency reminders, and repayment facilitation.
Strategic Partnerships: Market Validation
These engagements span both loan conversion and collections product lines and represent the Company's first commercial validation of its AI Labor delivery model in the consumer finance vertical.
The Company believes the commercial validation of AI Labor derived from these partnerships is based on the following:
- Real enterprise clients are committing live business operations — not pilot experiments — to Helport AI’s AI Labor systems;
- The AI Labor model has been tested across multiple languages, including English, Filipino (Tagalog), Thai, Bahasa Indonesia, Malay, and Spanish;
- Client retention and deepening engagement indicate that AI output quality meets or exceeds client performance thresholds; and
- The commercial framework — data-volume pricing for conversion, revenue-share for collections — is being accepted by multinational companies.
AI-Powered Loan Conversion
The AI system engages prospective borrowers through omni-channel messaging, answers product questions, explains loan terms, guides users through app download and registration, and initiates the loan application process — all without human intervention.
Pricing Model
The Company currently prices this product at approximately
AI Collections — A Proven Performance Advantage
While this business line is at an early-stage, the Company believes this performance benchmark is operationally significant, suggesting that its AI collections system does not merely replicate human capability at lower cost — it demonstrably exceeds it.
Collections Revenue Model
The Company operates on a revenue-share model for the collections business line, with current agreed upon share rates in the range of 35% to 45% of recovered amounts. This aligns Helport AI’s incentives directly with client recovery performance and is expected to create a scalable revenue stream without a fixed cost ceiling.
Market Context
Global Fintech Lending Market
The global fintech lending market was estimated at approximately
Global AI Debt Collections Market
The global AI-for-debt-collection market was valued at approximately
Competitive Positioning: The AI Labor Structural Advantage
The consumer finance operations market has historically been served by two categories of providers: human-staffed business process outsourcing (BPO) firms, and SaaS software vendors supplying tools to be operated by human agents.
| Category | Traditional BPO | SaaS Software Vendors | HPAI AI Labor Model |
| Business Model | Headcount-based billing | License / subscription fee | Outcome-linked + data volume |
| Scalability | Linear (hire more agents) | Moderate (tool only) | High (AI compute) |
| Languages Supported | Limited by talent pool | Pre-set language packs | Multi-lingual, real-time |
| Operational Cost | High (labor, office, turnover) | Medium | Low |
| Performance | Highly variable | Incremental improvement with high variability | 160%+ vs. human team (tested) |
| Time to Deploy | Weeks to months | Weeks | Days |
| Revenue Model | Cost center for client | Fixed SaaS cost | Shared upside (rev-share) |
Disclaimer: The information presented in the table above is based on the Company's internal assessments, deployment experience, and observations from selected customer engagements. Certain comparisons, including performance, deployment timelines, scalability, and operational cost characteristics, are based on specific use cases and may not be representative of all customer environments or market participants. The reported “160%+ vs. human team” performance metric reflects results observed in controlled deployments conducted by the Company and may not be indicative of future results or performance across all clients, industries, geographies, or operating conditions. Actual results may vary materially depending on customer workflows, data quality, regulatory requirements, implementation scope, and other factors.
The AI Labor model is not merely intended as a cost reduction strategy. The Company believes it represents a fundamental reconfiguration of how business operations can be delivered. Helport AI’s AI systems are deployed as operators, not tools — they take action, produce outcomes, and generate revenue on behalf of clients. This is intended to position
Management Commentary
The AI Labor business lines described in this release represent a strategic expansion of the Company's revenue base into outcome-linked commercial engagements that differ structurally from the Company's historical software licensing revenues.
About Helport AI
Helport AI (NASDAQ: HPAI) is a global AI workforce infrastructure company providing intelligent communication software and services to enterprise clients. Its core asset is the AI Labor System – an industrial-scale platform designed to manufacture, orchestrate, and deliver AI labor capacity based on measurable business outcomes. The Company’s mission is to transform human expertise into scalable AI labor. Learn more at www.helport.ai.
Forward-Looking Statements
Certain statements in this announcement are forward-looking, including, but not limited to, statements regarding Helport AI’s AI Labor deployment performance and scalability, anticipated revenue generation from its Fintech Lead Conversion and AI Collections business lines, expected operating leverage and margin characteristics of the revenue-share model, projected market size and growth rates for the global fintech lending and AI debt collections markets, the Company’s competitive positioning relative to traditional BPO and SaaS providers, and the potential for AI Labor systems to replicate or exceed human operational output. These statements involve risks and uncertainties based on current expectations and projections. Investors can identify these forward-looking statements by words or phrases such as “aims,” “anticipates,” “believes,” “estimates,” “expects,” “intends,” “plans,” “potential,” “projects,” “will,” “would,” “should,” “could,” “may” or similar expressions, although not all forward-looking statements contain these identifying words. Helport AI undertakes no obligation to update or revise publicly any forward-looking statements to reflect subsequently occurring events or circumstances, or changes in its expectations, except as may be required by law. Although Helport AI believes that the expectations expressed in these forward-looking statements are reasonable, it cannot assure you that such expectations will turn out to be correct, and Helport AI cautions investors that actual results may differ materially from preliminary or anticipated results and encourages investors to review other factors that may affect its future results in Helport AI’s registration statements and other filings with the U.S. Securities and Exchange Commission.
Media Contact
Helport AI Investor Relations
Email: ir@helport.ai
Website: https://ir.helport.ai/
1 Source: Market Research Future, Fintech Lending Market Size, Share Report and Trends 2035. The Company has not independently verified such third-party market data.
2 Source: Precedence Research, AI for Debt Collection Market Size, Share and Trends 2026–2035. The Company has not independently verified such third-party market data.
3 The competitive comparisons set forth in the table above are based on management's current beliefs and available industry information and should not be interpreted as definitive industry-wide benchmarks. References to traditional BPO providers and SaaS software vendors are intended for illustrative purposes only and do not constitute a comprehensive analysis of all market participants or competing solutions.