Huawei launched its RONGHAI Financial Partner Program to address AI implementation challenges in banking, growing to more than 150 partners worldwide. The program aims to bridge foundational infrastructure with specialized financial applications, compressing digital transformation timelines that traditionally took years.
According to McKinsey research cited by Huawei, most organizations have not embedded AI tools deeply into their workflows.
"We came to realize that we need to build an ecosystem with a lot of excellent technology partners," said Roger Wang, Director of Partner Development at Huawei's Digital Finance BU.
In the Philippines, Huawei completed a full banking transformation in less than 10 months through partner collaboration. This compressed timeline contrasts with traditional multi-year core system modernization projects that banks can no longer afford.
Wizard He, Co-Founder and Chief Product Officer of Netis Technologies, described the RONGHAI program as an operating model that allows banks to move faster without sacrificing stability.
"Huawei has different product portfolios," He explained. "They have ICT infrastructures, computing, storage network, Huawei cloud and the GPU. So if you work with Huawei, problems, especially related to technology, can be solved."
The FBI warned in December 2024 that criminals exploit generative AI to commit fraud on a larger scale, increasing the believability of their schemes. This highlights the risks of AI trained on flawed data and assumptions, which can snowball inefficiencies into systemic risk rather than eliminating them.
Huawei Cloud simultaneously unveiled global sales partner policies for 2026 targeting shared success in the AI era. In 2025, Huawei Cloud's partner business grew more than 50%, with the ecosystem now including over 4,000 global partners and hundreds of thousands of paying customers.
Entry into the RONGHAI program requires partners to meet three core criteria: technological creativity, speed of product evolution based on specific customer needs, and platform readiness for efficient deployment on Huawei's infrastructure foundation.
This selective approach maintains quality and consistency at scale while turning collaboration from a loose network into a governed ecosystem capable of delivering enterprise-grade AI adoption.
The company faces ongoing geopolitical scrutiny, with the U.S. Department of Justice announcing new indictments targeting Huawei earlier this year and Intel's CEO warning that Huawei could rapidly advance its chip technology if U.S. sanctions and vigilance are not maintained.
Despite these challenges, Huawei's partner ecosystem approach demonstrates how structured collaboration can accelerate AI adoption in regulated industries where traditional timelines are no longer sustainable.
