When a customer asks for an update, being able to find the necessary information straight away changes how the office works. The response comes sooner, colleagues interrupt each other less, and more time remains to handle a request, resolve an unexpected issue or prepare a sales proposal.
AI can contribute to this outcome by bringing scattered information together and helping people use it. For a company, the opportunity is to simplify work that currently involves constantly switching between emails, documents and different applications. QualiValue supports businesses in turning this opportunity into applications suited to their activities.
Research presented on 3 November 2026 by the Allen Institute for AI draws attention to an important aspect of these projects: AI’s ability to follow information as it changes. Called StateBench, it helps explain where application design needs to complement the model’s capabilities. Research announcement.
The company’s information can work better
Consider a sales office handling orders and enquiries. The information is there: a confirmation in the business management system, a change received by email, a detail agreed in an attachment. Bringing it together each time takes time and often involves whoever remembers the customer’s history best.
An AI application designed for this activity could gather the relevant references, present the current situation and prepare a response. The employee would then have a starting point to work from, with access to the sources and an indication of anything still needing clarification.
This is an example of a possible application, to be assessed in the company’s context. The intended benefit is easy to recognise: less repetitive searching, greater continuity when a request passes from one colleague to another, and more attention to the customer relationship.
For the business owner, this also means making better use of existing expertise. Experienced people’s time can be devoted to decisions and cases that require their judgement, reducing the work needed to retrieve information.
The research indicates where to focus the design
StateBench distinguishes between finding a piece of information and reconstructing a sequence of changes. In the tests, the advanced models evaluated perform well on simpler tasks; performance declines on long sequences with more complex, interdependent changes. These are experimental results, not measurements of the performance of an office or a complete business application. Original study, submitted on 2 November.
Our interpretation for businesses is practical: AI can be incorporated into an application that uses up-to-date information from company systems and keeps a clear record of the confirmations received. For example, the approved quantity for an order can be retrieved from the business management system, while AI helps read the customer’s request and prepare the response.
This makes it possible to distribute work sensibly between software, AI and people. Checks during development help establish which activities the application handles well and where an employee’s involvement is useful.
The advantage of entrusting the project to QualiValue
Delivering practical help requires expertise that connects the office’s work with building the application. QualiValue provides consulting, AI development and integration with existing systems, supporting the company from defining the objective through to adoption.
We can start with a time-consuming activity, such as responding to enquiries about order status. With the people who carry it out, we identify the information needed and the steps that can be simplified. We then take care of designing the solution, choosing the relevant technologies and preparing the connections and checks.
The advantage for the company is being able to entrust both the analysis of its needs and their translation into software to the same partner. The client contributes knowledge of its work and priorities; the technical choices are part of QualiValue’s work.
Our independence from vendors allows us to evaluate tools and models according to the project, also taking into account the applications already in use. The investment can therefore be built around a specific need and a benefit to be verified.
A useful first result can open up further possibilities
A project can begin with a clearly defined activity, such as preparing responses about orders, and later extend to other enquiries if experience confirms its usefulness. This approach allows the effort to be matched to the value that emerges in day-to-day work.
As we explored in our article on company data and AI applications, connecting information to the moment it is needed is part of the value. This week’s research adds a reason to pay attention to how the application handles subsequent changes.
QualiValue can complement implementation with staff training, so that the new tool becomes part of the office’s activities. The outcome to assess includes the time taken to complete a request, the quality of the response and how easy the application is to use for the person preparing it.
Contact QualiValue to identify where AI can free up time and improve service for your customers. We can start with the activities that currently require too much searching through emails and documents, and define how to make that work simpler with a solution proportionate to your company.