LONDON, [07 January, 2026] — Nexus Frontier Tech Ltd. (“Nexus”), an AI-native solutions provider for the financial sector, today announced the launch of the Nexus Capacity Unit (NCU)—a new way for financial institutions to procure AI based on guaranteed, measurable operational output rather than software licenses.

The NCU is a standardized unit of completed, auditable work. It enables banks and asset managers to consume AI as operational capacity, paying for outcomes delivered instead of tools deployed. This approach introduces a true Results-as-a-Service (RaaS) model, shifting AI from a speculative technology investment to a predictable operating utility.

The Executive Problem: AI Risk is Mispriced

Across financial services, AI is sold like software but expected to perform like labour. Institutions pay fixed license fees regardless of whether AI systems complete workflows accurately, meet regulatory standards, or deliver business value. Failures place all financial and operational risk on the buyer.

This mismatch forces executives to treat AI as an uncertain R&D expense rather than dependable operational infrastructure, complicating budgeting, procurement, and regulatory accountability. The NCU addresses this misalignment by introducing a clear capacity standard for digital labour, allowing AI to be planned, priced, and governed like any other operational resource.

“Executives Don’t Need AI Experiments—They Need Work Done”

“Financial institutions are fatigued by buying AI and hoping for ROI,” said Danny Goh, Founder and CEO of Nexus. “Executives don’t need more tools; they need outcomes. With NCU, AI becomes a workforce you hire—measurable, accountable, and paid for based on the work it actually delivers.”

OneNexus Capacity Cloud: Operational AI, Built for Regulation

NCUs are executed through OneNexus Capacity Cloud, Nexus’s upgraded enterprise platform designed specifically for regulated financial environments. Unlike general-purpose generative AI systems optimized for creativity, OneNexus functions as a deterministic execution layer focused on reliability, control, and auditability.

The platform provides three core operational controls for business leaders. Capacity Allocation allows digital capacity to be assigned to business functions in line with demand, translating existing Standard Operating Procedures (SOPs) and rulebooks into executable AI mandates and enabling operations to scale without hiring delays. Automated Delivery routes work to specialized AI agents, converting data inputs into completed operational tasks at enterprise scale with minimal human oversight. Compliance and Auditability ensure that every action and decision is logged, observable, and measurable, producing a complete audit trail that meets regulatory requirements without slowing execution.

Pricing for Outcomes: Risk Shifts from Buyer to Vendor

Traditional SaaS models require businesses to pay upfront while assuming delivery risk. Under the NCU model, Nexus assumes execution risk, aligning cost directly with measurable operational output. Clients subscribe to a guaranteed baseline of capacity and consume additional NCUs as outcomes scale. Variable fees may be task-based, tied to specific workflow volumes; role-based, equivalent to a full-time human capacity; or indexed to business metrics such as loan volume or assets under management (AUM).

This structure aligns AI costs directly with business outcomes. CFOs can plan and budget against core metrics such as basis-point economics, loan volumes, or AUM rather than uncertain software utilisation. COOs gain access to guaranteed, scalable operational capacity that can be deployed and adjusted with the same discipline as workforce planning. Procurement teams benefit from a transparent commercial model where vendor incentives are tied to delivered outcomes, not license consumption, while regulators and risk leaders value deterministic execution and full auditability, ensuring outputs are observable, measurable, and compliant by design.

Proven Impact in Banking and Capital Markets

Nexus is already deploying specialized digital labour agents across banking and capital markets, calibrated by complexity and governance requirements, ranging from 3.5 to 8.0 Nexus Capacity Units (NCUs). These agents deliver measurable improvements in cost, speed, and operational control.

ESG Analyst agents automate sustainability data ingestion and analysis. In a recent deployment, operational costs were reduced by 87%, lowering cost-per-portfolio from a typical 5–15 basis points under human execution to just 0.5–2.0 basis points. Credit Analyst agents automates underwriting workflows for SME and commercial lending, completing repetitive, data-intensive tasks such as financial spreading and verification in under 10 minutes—compared with one to two hours for human analysts. Credit Control Officer agents execute high-velocity, policy-driven credit controls with fully auditable outputs, completing KYC checks, credit assessments, and credit memos in a fraction of the time typically required by human teams.

“While others focus on how intelligent a model is, we focus on whether the output can be trusted and operationalised,” said Derrick Liao, Co-Founder and COO of Nexus. “That distinction separates AI applications from enterprise-grade digital labour.”

Redefining AI as a Predictable Utility

With the launch of the Nexus Capacity Unit, Nexus is setting a new benchmark for enterprise AI adoption—one where performance is measurable, risk is shared, and AI transitions from experimentation to dependable operational infrastructure.

About Nexus Frontier Tech Ltd.

Nexus Frontier Tech is an AI research firm dedicated to modernising the data-intensive workflows of the financial sector. Through its OneNexus Platform and proprietary Nexus Capacity Unit (NCU) model, the Company transforms undefined AI potential into guaranteed operational capacity. Nexus serves leading global banks and asset managers, delivering solutions that replace operational costs with high-precision, auditable Digital Labour.

—–

Media Contact: Matilda Pham | [email protected]