How a lot management does a financial institution actually have over the AI it makes use of?
Let’s image a relationship supervisor reviewing a credit score memo drafted by an agent.
Before counting on it, the banker first wants to know which buyer information knowledgeable the evaluation and whether or not the agent used the present lending coverage.
And as soon as different departments begin constructing their very own brokers, preserving monitor of them turns into a job in itself.
As adoption spreads, groups might duplicate work, depend on completely different coverage variations and wrestle to monitor prices throughout departments.
Managing that work throughout departments is a part of what Huawei goals to handle with its Fintelligent AI Solution, which offers a shared basis for creating and working brokers.
Huawei launched the answer on the Global Finance Summit throughout HUAWEI CONNECT 2026 in Shanghai on 18 September 2026.
Jason Cao, CEO of Huawei Digital Finance BU, introduced Fintelligent as a means for banks to retain management over how they develop and use AI, explaining the considering behind it within the firm’s launch announcement.
Jason Cao
“Every financial institution should own its AI and keep the choice and evolution of AI in its own hands.”
For a financial institution, this implies retaining significant alternative over its AI structure and fashions, constructing reusable data and agent belongings, and sustaining the power to function and enhance them over time.
Huawei’s strategy contains making the brokers and data developed inside a financial institution accessible for different groups to reuse.
Fintelligent connects these capabilities by way of an open hybrid AI structure and three factories: Agent Factory, Token Factory and Data-Knowledge Factory.
Managing Agents Across the Bank
Cambridge’s 2026 research discovered that 81% of surveyed financial-services companies had been adopting AI at some degree, though simply 14% thought-about it transformational to their organisational technique and aggressive benefit.
As an business instance, DBS’s credit-memo tool helps about 1,500 workers worldwide and handles greater than 70 duties related to getting ready the paperwork.
Relationship managers and credit score threat managers overview the drafts and stay accountable for the ultimate memo.
Banks working these purposes throughout departments want to set up who owns every agent and which programs it could actually entry.
Huawei’s Agent Factory is constructed round openJiuwen, an open-source agent platform that gives a shared basis for banks to develop, run, handle and govern brokers.
openJiuwen helps banks in creating an Agent Marketplace the place departments can share and reuse brokers and abilities developed throughout the establishment.
Under the Monetary Authority of Singapore’s (MAS) AI threat pointers, issued on 7 October 2026, monetary establishments stay accountable for AI used of their providers even when an out of doors supplier provides the expertise.
MAS expects establishments to keep inventories of their AI use and apply proportionate controls, together with human oversight.
Institutions ought to meet the expectations in Sections 3–4 from 7 October 2027, and these in Sections 5–6 by 7 October 2028.
Managing the Cost of AI at Scale
Preparing a due diligence report can contain processing prolonged paperwork, whereas a banker checking an account element throughout a buyer dialog wants a fast response, making the selection of mannequin and computing assets depending on the job.
Huawei’s Token Factory resolution, TokeNexus, helps token planning, manufacturing, scheduling and optimisation to assist banks handle AI working prices, efficiency and capability.
Tokens are models of content material processed by AI fashions.
Huawei describes each public-cloud and on-premises choices, permitting banks to contemplate deployment approaches in opposition to their workload, safety and efficiency necessities.
Credit groups assessing the return may evaluate the price of producing a memo with the time saved on preparation, accounting for the hours bankers nonetheless spend reviewing and correcting the draft.
Keeping Agents Aligned with Bank Knowledge
Policy updates want to attain brokers in addition to employees, as a result of an agent working with an older doc may apply guidelines the financial institution has already changed.
Huawei’s Financial Agentic Data Solution, a part of its Data-Knowledge Factory, provides monetary brokers with information and data drawn from institutional information, paperwork and guidelines.
Its pipelines are supposed to hold supplying related materials because the financial institution’s data modifications.
Huawei additionally describes a path in the direction of agent-assisted fraud operations, the place investigators’ expertise could be captured as reusable data to assist case evaluation and rule refinement as fraud patterns evolve.
Preserving Business Rules in Legacy Systems
Business guidelines embedded in a financial institution’s software program can decide the way it assesses a buyer’s mortgage, so builders want to protect that logic after they substitute the applying.
Huawei’s AI Coding Solution helps them extract these guidelines as structured data they’ll use within the substitute software program.
Extracting these guidelines can assist builders protect enterprise data throughout modernisation, whereas the substitute software nonetheless requires validation.
These operational questions give sensible that means to proudly owning AI.
The check is whether or not a financial institution can select its expertise, retain its enterprise data and hold enhancing its capabilities as adoption grows.
Featured picture: Edited by Fintech News Singapore primarily based on a picture by Huawei by way of its Press Release.
