CFOtech Asia - Technology news for CFOs & financial decision-makers
Asia
HTEC launches OneLoopAi to track AI spending value

HTEC launches OneLoopAi to track AI spending value

Thu, 9th Jul 2026 (Today)
Joseph Gabriel Lagonsin
JOSEPH GABRIEL LAGONSIN News Editor

HTEC has launched OneLoopAi, a platform that tracks AI usage, delivery metrics and costs in software development. It is aimed at organisations trying to measure returns on AI spending.

The launch comes as some large companies rein in internal AI use after costs rose sharply. Meta and Uber have both capped usage, while Meta and Amazon have removed internal leaderboards that encouraged staff to use AI tools more often.

That shift points to a broader change in how businesses approach AI. After an initial phase focused on adoption, many companies are now under pressure to show whether the technology improves delivery, reduces delays or justifies the expense of large language model usage.

OneLoopAi is designed to connect AI use with engineering and business outcomes in real time. The platform plugs into tools including Jira, GitHub, GitLab, Azure DevOps and Bitbucket, and tracks measures such as DORA metrics alongside company-specific indicators on adoption, productivity and cost efficiency.

HTEC presents the product as a way for customers and delivery teams to work from the same data. The system combines engineering signals with structured feedback from teams and clients to create what HTEC describes as a continuous view of value realised on investment.

Spending scrutiny

The backdrop to the launch is growing concern about the economics of AI roll-outs inside large organisations. Companies have spent heavily on model access, developer tools and internal copilots, but the cost of token consumption and related usage has become a more visible line item as deployments have widened.

In that environment, products that monitor consumption alone may no longer be enough. Buyers are looking for ways to tie usage to operational results, especially in software teams, where claims of higher productivity can be difficult to verify across projects and delivery cycles.

HTEC cited its research of 1,529 C-suite executives, which found that only 45% said AI was fully embedded across their business. That suggests many companies are still some distance from broad deployment, despite the scale of investment and the prominence of AI initiatives in corporate strategy.

OneLoopAi is also being used internally by HTEC in client engagements. The system is part of its delivery model and is intended to support joint decision-making between its teams and customers, rather than relying on retrospective reporting after projects have advanced.

Engineering focus

The product is aimed at software delivery and engineering management rather than general office productivity. By linking AI usage to developer workflows and project data, HTEC is trying to answer a narrower but commercially important question: whether AI tools are improving the speed and quality of technology delivery.

DORA metrics, widely used in software engineering to assess delivery performance, include measures such as deployment frequency and lead time for changes. By combining those indicators with internal measures of AI adoption and cost, vendors and customers can judge whether greater AI use is translating into faster releases or fewer bottlenecks.

HTEC also said customers can add its Backstage toolset, which it described as a library of engineering frameworks, reusable assets and delivery accelerators built from its own experience. The aim is to give teams a base of existing practices and components rather than starting each engagement from scratch.

HTEC framed OneLoopAi as part of a category it called AI value orchestration. While the label is new, the underlying pitch reflects growing demand for products that can connect AI spending to measurable output, especially as finance and operations leaders press technology teams for clearer evidence of returns.

Darko Todorovic, Chief Technology Officer at HTEC, said the issue for many companies is not simply whether staff are using AI tools, but whether that use produces visible value during delivery.

"Organisations are investing heavily in AI, but many still struggle to understand the value it delivers as they go; this includes adoption and costs," said Darko Todorovic, Chief Technology Officer, HTEC.

He said the platform is intended to make that link clearer for customers and service teams working together on software projects.

"HTEC OneLoopAi provides real-time visibility into how AI is used, where it drives impact, and how it accelerates high-quality delivery, while ensuring both customers and delivery teams operate from the same source of truth and can make joint decisions," said Todorovic.