Intelligent Automation
RPA is Just the Beginning
Our Process Improvement Flywheel
At Ashling Partners, we work with leading technologies in the RPA and broader intelligent automation markets.The result is a more efficient, agile, and engaged workforce and a business-outcome driven company.
Ashling provides education on the evolving automation market opportunity, implements and operationalizes your process and technology capabilities, and structures a sustainable business model using four major pieces of intelligent automation.
RPA Launches Our Process
Robotic Process Automation (RPA) increases efficiency and automates processes using bots. A bot is software that repeatedly executes scripts, learning over time, to free up bandwidth and resources for employees to do more impactful work. Any high volume, business-rules-driven, repeatable process qualifies for RPA.
Data Capture is Enhanced with OCR
Optical Character Recognition (OCR) is used to speed up the capability of converting semi-structured and unstructured data into structured formats that can be further automated by RPA. OCR is getting smarter and leverages technologies like Data Capture, Document Imaging and Machine Learning in order to extend process automations and allow companies to grow their business, not their operational costs. The Intelligent OCR capability allows organizations to automate a higher percentage of their processes and improve their overall time-to-market and ROI.
ML Improves Accuracy and Velocity
Machine Learning (ML) uses statistical modeling and algorithms to learn and improve accuracy and confidence of a decision without programming. It requires high volumes of data, so it is most beneficial after RPA is already in place. ML takes advantage of both pre-built and custom algorithms that commonly have a high ROI. This can include extracting keywords out of contracts, automatic classification of keywords, and other semi-structured data use cases like reading invoices or bills of lading.
AI Adds Agility and Process Improvement Insights
Artificial Intelligence (AI) is all the rage nowadays due to its ability to ingest unstructured data as broader automation is leveraged to provide more speed and advantage at companies and across society. We define AI as the ability for a machine to learn and perform tasks typically requiring human intelligence such as vision recognition, speech recognition, decision-making, and natural language processing. While AI is often discussed, targeted AI that focuses on business outcomes is the focus of intelligent automation and Ashling Partners.
Orchestration and Review Leads to a Faster Flywheel
With day one orchestration in mind and a business-outcome-driven roadmap in place, we implement across the intelligent automation technology spectrum. We revisit our original plan after key roadmap milestones are achieved, review how it has affected business outcome goals, and revise it to continuously improve upon itself. The cycle then begins again in order to increase speed and precision of your flywheel with every loop.
