Hyperautomation Services

RPA is one tool within hyperautomation. It mimics user actions on screens and is useful where systems lack APIs. Hyperautomation is a broader approach that combines process mining to find opportunities, process redesign, workflow orchestration and integration, RPA, intelligent document processing and AI to automate processes end to end. The aim is to automate the whole journey of a case, with governance and measurement, rather than isolated tasks.

The best candidates are high volume, rule-based or document-heavy, stable, and painful for customers or staff. Examples include invoice processing, onboarding, order entry and service requests. We use process mining and interviews to quantify volume, effort and error rates, then score candidates on value and complexity. We also consider strategic importance and whether the process should be redesigned first, so early automations deliver visible, credible wins.

Not necessarily. Process mining is very valuable when your ERP, CRM or ticketing systems record detailed event logs, because it shows how processes truly run rather than how people believe they run. For smaller programs we can start with structured interviews, task observation and sample data analysis. If the program grows, we can introduce a process mining platform or use lighter open-source tooling to keep discovery evidence-based.

We prefer APIs and integration platforms over screen automation wherever systems allow, because they are far more stable. When RPA is necessary, we use robust selectors, central configuration, error handling and retries, and monitor every bot run with alerts. Automations are documented and version controlled, and we coordinate with application owners on upcoming changes. Our managed service includes proactive maintenance so issues are fixed before they affect operations.

Agents are useful for steps that previously required human judgment on unstructured information, such as interpreting a customer email, deciding which team should handle a case or drafting a response. We place agents within an orchestrated workflow, give them only the tools they need, define confidence thresholds and route uncertain or sensitive decisions to people. Every agent action is logged, so automation becomes more capable without losing control.

Each automation starts with a business case that records the baseline: volumes, handling time, error rates and cycle time. After go-live we measure the same indicators from system data and automation logs, and report realized hours saved, cost avoided, cycle time improvement and quality gains. This benefit tracking is part of the center of excellence and helps decide where to invest next.