Intelligent Process Automation
Traditional RPA bots break when they encounter exceptions. We build Intelligent Process Automation (IPA) pipelines that combine the structured reliability of RPA with the cognitive decision-making of AI, allowing you to fully automate complex tasks like claims processing and loan underwriting.
Core Features
Cognitive Decision Making
The AI makes judgement calls on unstructured data—like deciding if an insurance claim photo matches the description—before passing the data to the RPA bot.
Exception Routing
If a workflow hits an edge case, the system gracefully pauses, asks a human for clarification via Slack/Teams, and then resumes the automation.
Legacy System Orchestration
Automating data entry into old AS400 mainframes or desktop applications that lack modern APIs.
Continuous Learning
Every time a human corrects an exception, the underlying ML model updates, ensuring the same exception is handled automatically next time.
Our Process
Process Mining
Week 1-2Deploying Celonis or UiPath to map the exact keystrokes and bottlenecks in your current manual workflows.
Cognitive Layer Design
Week 3-4Building the AI models that will handle the unstructured parts of the process (e.g., reading an email and determining the intent).
RPA Bot Development
Week 5-6Writing the 'muscle' of the automation—the scripts that physically click buttons and move data between your ERP and CRM.
Human-in-the-Loop Setup
Week 7Creating the dashboard where human operators can review low-confidence AI decisions before the RPA executes them.
Deployment & Scaling
Week 8Launching the bot in production, monitoring error rates, and scaling the infrastructure to handle enterprise volumes.
Technologies We Use
FAQ
How is IPA different from standard RPA?
What happens if the UI of our software changes?
Is it secure to have bots accessing our ERP?
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