AI agents for 14 tasks
The 14 tasks for which T-NEX builds AI agents, with the shared components, a pilot with a measurable goal and the rules for running the agents.
Learn moreT-NEX builds AI agents for sales and online retail: preparing enquiries and quotations, maintaining product data, handling orders and follow-up questions. It also builds custom online shops and ordering platforms; a T-NEX ordering and outlet platform for restaurants is in use in Malaysia.
Aligned with your processes
The agents work with your company's documents and systems. They prepare records that currently move between emails, spreadsheets and specialist applications, and put them in front of the responsible team for a decision.
Three T-NEX components underpin these agents. Document AI reads enquiries, orders and product documents and outputs the required details as a reviewable record; unclear passages stay visible rather than being silently filled in. The AI chatbot answers follow-up questions from approved answers, with their source.
Workflow automation connects intake, processing and completion. Order intake and quotation preparation are among its typical uses. The examples on the product page are concepts for workflow design; the actual system actions are developed for your business. An AI pilot with defined evaluation criteria is the starting point.
For online shops and ordering journeys that standard software does not cover, T-NEX develops web applications for your processes and connects them to existing systems such as ERP or CRM. Your team reviews a clickable design first. The proposal records which results are handed over and which usage rights apply.
For hospitality, the ordering platform is a product in its own right: a digital menu, ordering through a table QR code, kitchen and bar displays, and outlets with their own opening hours and stock. We define together which functions your business needs; the platform is set up for the agreed operating model.
On its own page, the register of AI providers in Malaysia lists further providers for marketing, sales and e-commerce.
T-NEX also describes agents for other tasks, such as customer service, accounting and HR. The overview shows all 14.
Choose a use case. Together we pick a clearly bounded process with a defined input and outcome, such as quotation preparation or order intake, and record how it runs today and what counts as a correct result.
Pilot with a measurable goal. The pilot works with example cases from your daily business, including exceptions. Measures include correctly transferred details and the effort spent on corrections. The result informs the decision on expansion.
Set the rules. Before operation, we agree which approved data the agent may access, which steps a person signs off, for example a quotation or an order, and which actions are logged with the time and the person responsible.
Operation. The agent runs within your processes and is connected to the agreed systems. Responsibilities for maintenance, error cases and business changes are named.
The agent prepares the work. Business approvals get an explicitly defined step that a person takes. Direct posting or order creation by the agent is implemented only when it is explicitly part of the agreed workflow.
The platform covers ordering and operational management. The path from order to receipt of payment is defined at introduction, including payment methods and the handling of failed payments. Existing till systems and payment services are taken into account. Till functions require a specific review for the country of operation.
The agents on this page concern sales and online retail: enquiries, quotations, product data, orders and follow-up questions. For advertising, content or visibility, this page names no T-NEX offer. For marketing, the register page lists further providers in Malaysia. Whether another use case can be solved with agents is something we clarify in conversation.
The 14 tasks for which T-NEX builds AI agents, with the shared components, a pilot with a measurable goal and the rules for running the agents.
Learn moreDocument processing as a custom project: define required fields, test extraction against examples and connect the next step in your workflow.
Explore service
Internal knowledge search and chatbots built around your content: approved answers or RAG with a language model. T-NEX scopes access, data and implementation.
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T-NEX develops custom workflows for requests and approvals, adapting existing components with suitable rules and evaluated AI steps.
Explore serviceEvaluate one AI use case with T-NEX: limited scope, suitable data and agreed criteria for expansion or stopping.
Explore serviceBring a concrete task. Together, we will define what the application needs to do.
Discuss your use case