You've automated individual tasks but the process is still slow end-to-end?
Exceptions and edge cases keep requiring human intervention that shouldn't?
Hyperautomation Services
Hyperautomation applies multiple automation technologies -- AI, machine learning, OCR, process mining, and integration -- to a process end-to-end. Where RPA can automate a single task, hyperautomation automates the whole process, including the decisions and exceptions that rule-based automation can't handle.
The result is a process that runs without human intervention for the 80% of cases that are routine, and routes the 20% that aren't to the right person with the right context.
End-to-end process automation combining AI, OCR, workflow, and integration
Handles decisions and exceptions -- not just rule-based tasks
Process mining to identify the highest-value automation targets
100+ products shipped including AI and automation systems across industries
Trusted by startups & global brands worldwide
Most automation projects automate the wrong thing
Automating a single task in the middle of a manual process makes the task faster without making the process faster. The bottleneck just moves.
Hyperautomation looks at the whole process -- from trigger to outcome -- and automates every step that can be automated. What's left for humans is decisions and exceptions: the cases where judgment, context, or authority matter. Everything else runs automatically.
What hyperautomation combines
AI and machine learning
AI for the decisions that rule-based automation can't make. Document classification, exception routing, fraud detection, approval recommendations, and natural language understanding. The intelligence layer that makes automation work for the 20% of cases that aren't simple.
OCR and document intelligence
Reading documents, extracting structured data, and converting unstructured inputs into information that downstream systems can act on. Invoices, contracts, forms, emails, and reports processed automatically without human data entry.
Process orchestration
The workflow layer that coordinates tasks, systems, and people. Rules for routing, escalation, and exception handling. A process that runs automatically for routine cases and surfaces the exceptions that need human attention -- with context, not just an alert.
System integration
Connecting the systems involved in the process -- ERP, CRM, document management, email, databases -- so data flows automatically between them. No manual export-import, no copy-paste between applications. The process runs across systems without leaving them.
Process mining and discovery
Analysing process execution data to map how your process actually runs -- not how it's supposed to run. Process mining reveals the variations, the bottlenecks, and the waste that manual observation misses. The automation is designed around what's actually happening, not the idealised version.
Monitoring and continuous improvement
Production monitoring that tracks process execution, identifies exceptions, and measures automation rates. Dashboards for operations managers. Alerts when something breaks. Feedback loops that feed exception corrections back into the automation rules over time.
Which business process costs your team the most time?
Tell us the process, the volume, and the exceptions. We'll design an automation that covers all three.
Frequently asked questions
Hyperautomation is the application of multiple automation technologies -- AI, machine learning, OCR, robotic process automation, process mining, and integration platforms -- to automate entire business processes end-to-end. The term was coined by Gartner to describe the next step beyond isolated automation tools. Where RPA automates a single repeated task, hyperautomation automates the entire process: the triggers, the decisions, the exceptions, the hand-offs, and the outputs. The result is a process that runs with minimal human intervention.
RPA (robotic process automation) automates rule-based, repetitive tasks -- the same action performed the same way every time. It's good for clicking through a system, entering data, and copying information between applications. RPA breaks when the task involves a decision, an exception, or a change in the source format. Hyperautomation combines RPA with AI for decision-making, OCR for document reading, process mining for identifying what to automate, and integration platforms for connecting systems natively. It handles the whole process, not just the mechanical part of it.
We start with a process discovery phase where we map your current processes, identify manual steps, and estimate the cost (time, error rate, headcount) of each one. We prioritise automation candidates by ROI -- high volume, high manual cost, low exception rate, and high standardisation. The processes that score highest on all four criteria are the ones we automate first. We produce a prioritised automation backlog with estimated ROI for each item.
Exception handling is where hyperautomation systems fail if they're not designed for it. We design every automation with explicit exception paths -- what happens when the data is ambiguous, when the rules don't apply, when a human decision is needed. Exceptions are routed to the right person with all the context they need, the human resolves it, and the resolution feeds back into the system. Over time, the exception rate drops as the system learns from corrections.
We can work with existing RPA platforms if you have them. More often, we build custom automation using code-based orchestration (Python, Node.js) rather than RPA visual designers. Code-based automation is more maintainable, more testable, cheaper to run at scale, and easier to integrate with AI components. For organisations already invested in UiPath or Blue Prism, we design the AI and integration layer to work alongside the existing RPA infrastructure.
A focused hyperautomation project -- automating one complete process end-to-end -- typically runs $40,000--$100,000 depending on process complexity and the number of systems involved. Multi-process programmes are scoped as a phased programme with a fixed cost per phase. We always start with the highest-ROI process first, so you see measurable results before committing to the full programme.