Process Mining and process baseline
We analyse the current process flow using system data: turnaround time, variants, exceptions and bottlenecks. This forms the baseline against which we later compare the impact of automation.
We automate business processes end to end - in finance, HR, logistics, customer service and other operational areas. We combine RPA, AI agents, system integrations and human involvement wherever a decision, control or compliance step requires it.
Automation shortens the handling time of repetitive tasks - from invoice and ticket workflows, through order approvals, to employee onboarding. The process moves through its stages faster, with fewer manual handovers and delays.
We reduce the risk of mistakes arising from manual data entry, incorrect attachments, outdated information, skipped steps or inconsistent decisions within a process.
Automation reduces the cost of running processes, particularly where high volumes require many repetitive tasks. In practice this means less manual work, shorter handling times and better use of the team.
The organisation can handle more transactions, requests or cases without a linear increase in staffing. This matters particularly for shared service centres, BPOs and operational teams working on high volumes.
We analyse the current process flow using system data: turnaround time, variants, exceptions and bottlenecks. This forms the baseline against which we later compare the impact of automation.
We prepare a business case showing the cost of the current process, the projected cost after automation, implementation time and payback period. This is the material that supports the business and investment decision.
We design and implement automation using RPA, AI agents and integrations via API or iPaaS. Wherever the process requires a decision, control or approval, we keep a human in the loop.
We automate the handling of documents such as invoices, contracts, policies or customs documents. The solution recognises content, validates data and routes documents according to the organisation’s established policy.
We build dashboards showing cycle time, unit cost, error rates, availability and SLA performance. Alerts help teams respond faster to anomalies and to points where the process needs intervention.
After go-live we continue to develop the automation: optimising the process, adding new variants and monitoring outcomes. We treat BPA as a platform for ongoing improvement of work, not a one-off project.
We start with process analysis and identify the areas where automation can deliver the greatest business value. We assess ROI, process complexity, the number of exceptions, risks, data quality and the organisation’s readiness for implementation.
For the selected process we prepare an MVP, typically within a 6-10 week horizon. We test the solution at limited scale, measure the impact, and only once value is confirmed do we recommend further scaling.
We work iteratively, but with clearly defined change management. Automation has to work not only on go-live day, but also after changes to systems, processes and the organisation.
Technology stack
The team’s certifications and experience across the UiPath, RPA and enterprise systems ecosystem confirm SNOK’s readiness to deliver end-to-end business process automation.
International healthcare operator
HR process platform supported by digital workers. The solution handles around 100,000 HR events a year and shortens onboarding from 10 days to 2 days.
FMCG manufacturer
Automation of the AP invoice process across 21 countries. The solution reached a high level of touchless handling and significantly reduced the operating cost of the process.
Retail sector company
Automation of complaint handling. The solution shortened response times and brought order to a process that previously required a large amount of manual work.
BPA covers the entire business process - from input data, through decisions, integrations and workflow, to the final outcome. A single RPA bot usually automates one task or a fragment of a process. In BPA we combine RPA, AI agents, system integrations and human involvement wherever the process requires control, a decision or an approval.
We usually deliver the first MVP for the selected process within 6-10 weeks. Scaling to further processes depends on their complexity, the number of exceptions, data quality and the organisation’s readiness for change. Full development of the automation platform is most often carried out in stages.
We measure ROI using specific indicators: process cycle time, the cost of handling a single transaction or document, the number of errors, the level of automation achieved, and the time recovered by the team. We establish the baseline before implementation, based on an analysis of the current process.
Not always. UiPath is our preferred automation ecosystem, but the choice of technology depends on the client’s environment, existing infrastructure and project goal. We also deliver projects using other tools, API integrations, iPaaS and hybrid architecture.