Intelligent Process Automation

Blend RPA, low-code, and AI assistants to orchestrate complex business workflows and remove manual work at scale.

Intelligent Process Automation

Automate End-to-End

We identify high-ROI processes, redesign with automation, and deliver change management to scale adoption.

Discovery & Process Mining

We start with shadowing sessions, event logs, and process mining to map as‑is flows and identify bottlenecks.

We prioritize a backlog of automation candidates by ROI, complexity, and compliance risk, delivering quick wins first.

Automation Stack (RPA, Low‑Code, APIs)

We blend RPA for UI‑level tasks, low‑code apps for human tasks/approvals, and API integrations for robust back‑end orchestration.

This layered approach lets us automate legacy systems while building modern, maintainable services around them.

Orchestration & BPMN

We design BPMN workflows with clear states, SLAs, and escalation paths; tasks are typed (human, bot, service) with idempotent handlers.

Work queues, retries, and dead‑letter channels protect throughput and reliability at scale.

Task/Process Mining & Optimization

We implement continuous telemetry to measure cycle time, touch time, and rework, feeding insights back into process improvement.

Dashboards surface SLA breaches, queue backlogs, and exception hotspots to drive focused remediation.

AI Assistants & NLP Search

AI copilots summarize documents, extract entities, and suggest next‑best actions; NLP search finds relevant policies and knowledge instantly.

We embed guardrails and human verification steps where accuracy and compliance matter.

Human‑in‑the‑Loop & Exceptions

We design exception handling with clear ownership, SLAs, and context‑rich task UIs to resolve breaks quickly.

Feedback from exception flows is fed into rule updates and model retraining to reduce future breaks.

Governance, Security & Compliance

We enforce RBAC/ABAC, audit trails, and data redaction; we separate duties across builder, reviewer, and approver roles.

We align with regulatory requirements (e.g., SOC2, HIPAA, GDPR) and implement change control for automations.

Change Management & Training

We deliver playbooks, training, and enablement for operations teams; we set up champions and feedback channels to ensure adoption.

Runbooks and self‑service tools equip teams to operate and iterate automations safely without vendor bottlenecks.

KPIs & ROI

We define KPIs—cycle time, first pass yield, error rate, throughput—and show before/after deltas to quantify ROI.

We instrument dashboards and alerts so leadership can track automation health and business impact continuously.

Key Benefits

  • Lower operating costs with straight‑through processing
  • Fewer errors and faster cycle times via standardized workflows
  • Complete traceability and compliance with audit trails
  • Human‑in‑the‑loop for exception handling and approvals
  • Faster onboarding through low‑code and reusable components
  • Better SLA adherence with real‑time monitoring and alerts

Use Cases

  • Invoice and AP automation with PO matching
  • Policy underwriting and KYC enrichment
  • Claims adjudication and appeals handling
  • Order processing and fulfillment orchestration
  • Customer support triage and knowledge search

Results

We combined RPA, low‑code apps, and APIs with BPMN orchestration and continuous telemetry.

  • Cycle Time: -45%
  • Error Rate: -37%
  • Throughput: +1.6x

Frequently Asked Questions

Which RPA/automation tools do you use?

UiPath, Automation Anywhere, Power Automate, and custom workers/services; Camunda/Temporal for orchestration where needed.

How do you choose what to automate?

We use process mining and ROI scoring—volume, variability, error rate, and compliance risk—to prioritize candidates.

What is a typical ROI timeline?

Initial wins in 4–8 weeks for targeted workflows; broader programs show 30–60% cycle time reduction over 1–2 quarters.

Can automations integrate with ERP/CRM?

Yes—APIs, event buses, or RPA where no APIs exist; we favor API‑first patterns for long‑term resilience.

How are exceptions handled?

Human‑in‑the‑loop UIs with contextual data, standard operating procedures, and escalation paths; learnings feed continuous improvement.

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