Hyperautomation is a disciplined approach to automating as many business and IT processes as possible by orchestrating a coordinated set of technologies including robotic process automation, machine learning, process mining and low-code platforms. Rather than automating tasks in isolation, it discovers, designs and integrates end-to-end automated workflows with intelligence layered in. The goal is scalable, adaptive automation that augments human work across the enterprise.

Overview

  • Hyperautomation starts with discovery: Process Mining and task mining reveal how work actually flows and where automation opportunities lie.
  • Discovered processes are then orchestrated through a layered stack combining rule-based bots, AI models and human-in-the-loop steps.
  • Intelligence from Natural Language Processing and AI Agents lets automated workflows interpret documents, make decisions and adapt to exceptions.
  • Orchestration coordinates the components so that automation spans systems and departments rather than stopping at silo boundaries.

Key aspects

  • Discovery: data-driven identification of automatable processes.
  • Augmentation: layering AI onto deterministic automation to handle ambiguity.
  • Orchestration: end-to-end coordination across tools and teams.
  • Governance: measurement, monitoring and continuous optimisation of automated workflows.

Applications

  • Automating finance, procurement and HR operations end to end.
  • Intelligent document processing for claims, invoices and contracts.
  • Customer-service automation blending bots and AI agents.
  • Accelerating Digital Transformation programmes across the enterprise.

Provenance