We analyse and automate business processes that carry a lot of manual work, repetitive tasks and searching for information. We design and build solutions that combine systems, automation and AI around a specific company process.
We automate business processes from the first step to the final result. Manual steps, information handoffs and the points where a process depends on one person or team are replaced by an automated workflow.
We design the process so that data, tasks and statuses move between stages automatically, and a person steps in only where a decision or an approval is needed.
We build internal systems fitted to a company’s processes, which become the main working environment for a specific process, team or department. Data, tasks, ownership and the flow of the process come together in one place.
We integrate the systems and data sources already in use so information moves between them automatically and staff no longer copy or duplicate it by hand.
We apply AI to processes that require analysing documents, working with unstructured information, using a company’s internal knowledge or making decisions in context.
We build AI assistants, agents and internal tools integrated into a company’s systems and workflow. We automate what AI can do reliably and keep human control where a decision or an approval is required.
We review the current process, the business goal, the systems in use and the possible directions.
We define the scope, the technical architecture, the price, the timeline and the acceptance criteria. We build the solution, test it under real working conditions and prepare it for use.
After launch we monitor how the solution runs, make the changes needed and extend the system as processes change or new needs appear.
The first conversation and the initial assessment are free.
We usually start with repetitive processes that involve a lot of manual data entry, copying, checking or handing information over. Before designing a solution we assess the workload, the exceptions, the risk of errors and the points where human control is required.
Yes, where those systems provide the technical means for it. We assess the API, the data structure, access rights and security requirements. Where a direct integration is not the best answer, we design an alternative data transfer or workflow.
No. Rule-based automation is in most cases simpler, more reliable and easier to control. We use AI where text or documents have to be analysed, where the information is unstructured, or where search and context-based answers are needed.
During design we define the data used, the access rights, the automated actions and the points that require human approval. The solution includes traceability, error handling and result checks according to the requirements of that particular process.
We start with a conversation about a specific business process and the result you want. We assess the current workflow, the systems in use and the main requirements. From there we can define the direction, the scope and the first delivery stage.
“I had already audited my own site and thought everything was fine. Kognev's audit revealed new issues in places I would never have thought to look.”
