Find the real bottleneck
We map the current process, hand-offs and exceptions before deciding what should be automated.
A technology company building intelligent products, software and systems for the AI era.
Describe the constraint. We will tell you which of these it is, or that it is none of them.
Start a projectAutomate repetitive business work across documents, data, email, WhatsApp and existing systems — with monitoring and exception handling built in.
Automate repetitive business work across documents, data, email, WhatsApp and existing systems — with monitoring and exception handling built in.
We map the current process, hand-offs and exceptions before deciding what should be automated.
Bots can handle structured data entry, reconciliation, reporting, invoices, orders and document workflows.
Exceptions are surfaced instead of silently failing, with monitoring and maintenance around the automation.
We do not need a perfect brief. Bring the business problem, the current workflow and what you want to improve. We can help shape the right starting point.
Automation for repetitive data, documents, reporting, email, WhatsApp and system-to-system workflows.
Existing website or software, the process you want improved, the people involved, and the result you want to see. Screenshots and rough notes are enough to start.
Tell us what is not working. JANNEX will help identify the right service, the likely scope and the next practical step.
Start a projectTell JANNEX what needs to work better. We will help define the right scope across software, automation, digital marketing or website development.
Start a projectRobotic process automation is software that carries out repeatable, rule-based work across existing systems — moving data between applications, generating reports, processing documents — without changing those systems. It suits high-volume processes with stable rules, and it is the wrong tool for work that needs judgement on every case.
Business process automation is the broader practice of redesigning a process so the repeatable parts run without a person, and the exceptions are routed to someone with the context to decide. The automation itself is usually the smaller half of the work; mapping the process and designing exception handling is the larger half.
The best first candidates are high in volume, stable in their rules, expensive when they go wrong, and already accessible through a system rather than a person's inbox. Processes that are rare, change constantly, or have no agreed definition of a correct outcome should wait.
RPA follows rules that are written down; AI automation handles input that is variable or language-shaped, such as reading documents or classifying requests. Most real systems use both — a model to interpret the messy input, deterministic code to act on it, and a person to review what the model was unsure about.