Hyper automation
One bot filling one form saves minutes. Coordinating RPA, AI and integration behind a single workflow engine takes a whole process, trigger to close, and runs it with people involved only where judgement is needed.
UiPath · Automation Anywhere · Power Automate · webMethods · Kafka
Architecture overview · 5 layers
Hyper automation architecture
RPA, AI and integration work in parallel, coordinated by one engine that knows which of the three each step needs.
Process triggers
An invoice lands in the shared mailbox, a claim is filed, a service request is raised. Something needs doing, and a person would normally start doing it.
Process orchestration
The engine breaks that into steps, works out which of the three technologies each step needs, and starts an SLA clock on the whole thing.
Automation technologies
A bot drives the screens where no API exists, a model reads the document and decides, and integration writes the result through a proper interface.
Monitoring & optimization
Every run leaves a record: where it slowed, what it escalated, what it cost. Recurring exceptions become the next thing to automate.
Enterprise systems
SAP is updated, the CRM record closes, the mainframe posts the entry, and the process finishes without anyone having retyped a thing.
Key capabilities
What we design and run
Process discovery & design
We map order-to-cash, procure-to-pay, hire-to-retire, claims, ITSM, reporting and supply chain end to end, and find where the time actually goes.
Workflow & orchestration
Task routing, parallel and sequential steps, exception paths and human approval gates, with SLA escalation that names who gets told when a step runs late.
RPA & desktop automation
UiPath, Automation Anywhere and Power Automate for screen scraping, data entry, document handling and legacy systems that offer no API.
AI for decisions & exceptions
Document classification, OCR extraction, exception routing and sentiment analysis, so the judgement calls that used to need a reviewer get made in the flow.
Integration & data connectivity
API calls, event streaming, database sync and MFT through webMethods, Kafka and Apache Camel, so bots and models work on live data.
Enterprise system connectivity
SAP, Oracle, Salesforce, Workday, ServiceNow, NetSuite, Xero, AS400 and mainframes, so a process can cross all of them without a person in the middle.
Monitoring & improvement
Process analytics, exception rates, bot performance, SLA compliance and cost per transaction, which is how you find out whether the automation earned its license.
Infrastructure & operations
Kubernetes, cloud platforms, message brokers, CI/CD and security, with Grafana and ELK watching bots, workflows and models alike.
Technology stack
Bots, models and integration
Chosen against your existing stack, the shape of the process and the licenses you already hold.
RPA and process platforms
UiPath
Automation AnywhereBlue Prism
Power Automate
AppianPega
WorkatoAI and decisioning
OpenAI
LangChain
PythonML modelsIntegration and streaming
IBM webMethods
Apache Kafka
Apache CamelUse case · Insurance
Claims processing, intake to settlement
An insurance company combined OCR for document intake, AI for claim validation and RPA for the system updates, so assessors handle the exceptions and the rest completes on its own.
Read the case studies →Frequently asked questions
RPA automates one repetitive task at a time and works in isolation. Hyper automation coordinates RPA with workflow orchestration, AI and system integration, so a whole process runs end to end. Rather than a bot filling one form, the platform carries the full order-to-cash or claims flow from trigger through decisions, system updates, exceptions and monitoring.
Pick the process that costs you most
Tell us which end-to-end process eats the most hours and which systems it crosses. We will come back with an approach and a realistic shape for the work.