Business Process Automation Services

We run a process discovery and ROI audit before scoping any automation work. This involves mapping your current workflows, measuring cycle times, documenting exception rates, and calculating the labor cost of manual handling. Processes with high transaction volume, clear rule-based logic, and measurable bottlenecks are prioritized first. We produce a ranked automation roadmap, including projected ROI for each process, before development begins.

Every workflow we build includes exception handling logic designed around your specific edge cases. When automation encounters an input it cannot process, it flags the exception, routes it to the appropriate team member for manual review, and logs the event with a full audit trail. The workflow continues processing all other transactions while the exception is handled manually, so automation errors do not stop production operations or require a restart.

Yes. We build intelligent document processing pipelines using LLMs and custom extraction models that handle invoices, contracts, claim forms, medical records, and email content. These systems go beyond OCR, they understand document structure, extract fields from variable formats, validate against business rules, and route output into downstream systems. RPA alone cannot handle unstructured inputs reliably; AI-native document processing handles the variability that rule-based systems miss.

A single well-defined process typically takes 6–12 weeks from discovery to production deployment. More complex multi-system automation programs take 3–6 months. Timeline depends on process complexity, number of integration points, and data readiness. We scope the timeline during the process discovery phase before development begins.

A fixed-scope single-process automation project ranges from $25,000–$80,000 depending on complexity and integration requirements. Dedicated team engagements are priced monthly based on team composition and program scope. Cost is driven by the number of processes, integration complexity, and whether AI-native automation or standard RPA is required. We provide a detailed cost breakdown after the process discovery and audit phase.

Yes. We integrate automated workflows with SAP, Salesforce, Dynamics 365, Oracle, ServiceNow, and most major enterprise systems through REST APIs, native connectors, and custom integration layers. We also handle legacy system integration where modern API access is not available. Integration is built and tested by the same team that developed the automation.

Standard RPA handles rule-based tasks well but breaks when inputs vary, unstructured documents, ambiguous data, or changing process conditions. AI-native automation uses LLMs and machine learning to handle variability, extracting data from complex documents, making routing decisions within workflows, detecting exceptions, and adapting to changing inputs. AI makes automation resilient where rule-based bots fail.

Every workflow we build includes audit trail logging, role-based access controls, data encryption in transit and at rest, and approval chain documentation as standard components. For regulated industries, we design automation architecture to meet HIPAA, GDPR, and SOC 2 requirements from the ground up, not as a retrofit. Compliance evidence is generated automatically by the system as a byproduct of execution.

ROI timeline depends on process volume, current manual handling cost, and automation scope. High-volume transactional processes, invoice processing, claims handling, order management, typically show measurable cost savings within the first 3–6 months of production operation. We define specific ROI metrics during the process discovery phase and measure against them post-deployment.