LEAVE REPETITIVE WORK TO THE ROBOTS

If an API exists and is supported by the system owner, integration is the better choice; the value of RPA appears where no API exists, where it is not exposed, or where changing the system is expensive. A robot connects ERP, CRM, legacy and cloud applications through their interfaces and leaves the existing infrastructure untouched. In practice the two are usually combined: high-volume steps run through APIs, and the manual steps in between run on robots.

Rule-based, repetitive, high-volume processes with structured input are suitable for RPA. We base that decision on evidence rather than assumption, through process discovery and process mining: candidate processes are assessed on business impact, feasibility and risk, and the output is an opportunity inventory and a business case. Processes full of exceptions and judgement calls move to a design where robots and AI agents work together rather than to RPA alone.

Cost has two components: the UiPath platform licence and development and consulting services. On the licence side the split between attended and unattended, automation volume and user scope are decisive; as a UiPath Diamond Partner we determine that scope by analysing your current and target usage. On the services side cost depends on the number and complexity of processes; we produce a budget frame for both components during the first assessment.

We offer two models. In the managed service model we take on maintenance, incident handling, performance optimisation and licence management; robots are monitored around the clock through AOC with an agreed SLA. In the handover model we set up an Automation Centre of Excellence inside your organisation, define the standards, templates and governance model, and train your team to run it. In both models every step a robot performs is logged and remains auditable.

Three combinations stand out. With intelligent document processing, data from invoices, contracts and forms is extracted and written into the relevant systems by robots. With process mining, the decision of what to automate is prioritised on evidence. With AI agents, the result is a system that understands context, handles exceptions and makes decisions. In all three, RPA remains the execution layer while AI adds the interpretation and decision layer.

No; RPA takes over digital work steps whose rules are already defined, not decisions or client relationships. Teams freed from routine tasks spend their time on analysis, decisions and customers. Because growing volume is met by adding robots rather than headcount, the capacity of the existing team is not consumed by growth.