Professional AI Automation Services - Business Process Automation Services

Traditional RPA follows fixed rules and breaks when UI layouts or document formats change — requiring a developer to manually patch the bot. APA uses LLMs to read the intent behind a changed interface or document and adapt autonomously. APA also handles non-linear workflows with judgment and exception-handling that RPA simply cannot do.

Choose Temporal when you have mission-critical, stateful processes where partial execution has real business consequences (payments, compliance, HR onboarding). Its durable execution model guarantees workflows resume exactly where they left off after any failure. Choose Prefect when you have Python-native data pipelines and ML workflows where developer productivity and observability are the priority.

Legacy OCR typically achieves 85-90% field extraction accuracy on clean, templated documents and degrades significantly on hand-written, rotated, or format-varied inputs. Our IDP stack using LlamaParse + LLM classification achieves ≥98% accuracy on structured documents and routes low-confidence extractions to a human review queue, so errors never silently enter your systems.

Yes. We conduct a full bot estate audit, scoring each automation on ROI, current failure rate, and migration complexity. High-value, high-fragility bots are migrated to APA. Simple, low-risk bots may be replaced with a direct API integration. We manage the full transition and provide parallel running periods to validate parity before decommissioning legacy bots.

With Temporal, the workflow is automatically suspended at the failed step. It retries on a configurable backoff schedule (e.g., retry every 5 minutes for 2 hours). If the API remains down beyond the SLA, the workflow escalates to a human owner via Slack or email with a full context summary — no data is lost, no step is re-run unnecessarily.

We connect AI agents to your ERP event logs (SAP, Oracle, etc.) and run statistical analysis daily. The agents identify process variants that correlate with delays, calculate the cost of each bottleneck, and generate a weekly report with the top 3 actionable recommendations. You see where your processes slow down without requiring a consultant to manually audit quarterly.

Every workflow emits an immutable audit log capturing: which decision node fired, what data was input, which LLM prompt was used, what the output was, and which human reviewed or approved it. PII is masked before it reaches any LLM API. Logs are retained in compliance with your jurisdiction's requirements and are fully queryable for auditor review.

A focused automation for a well-defined, single process (e.g., invoice processing) can be built and validated in 6-8 weeks including IDP setup, integration testing, and parallel running. Complex enterprise workflows spanning 5+ systems with compliance requirements and process mining setup typically take 12-16 weeks to reach production readiness.

We instrument every automation with cost-per-transaction telemetry from day one. You get a live dashboard showing: transactions processed, cost per automated transaction vs. previous manual cost, exception rate, and total time saved. This data forms the basis of your automation ROI report and justifies further investment to executive stakeholders.

Yes. Both Temporal and Prefect offer self-hosted deployment options. For highly sensitive processes in healthcare, defense, or high finance, we deploy the full orchestration stack on your private infrastructure. LLM exception handling can also use locally deployed open-source models (Llama 3, Mistral) ensuring no sensitive data leaves your network.