Automation is about more than eliminating mundane tasks
Vendors and industry publications often promote robotic process automation (RPA) as a quick solution to reduce headcount, save money, and improve customer service. As a result, business partners often pressure IT leaders to focus on the tactical needs of “routine task automation” with RPA. However, not all processes are simple, routine, and short-running.
Many transformational processes involve complex business rules spanning multiple systems, intelligent automated decision-making, integration, and optimization. Scaling beyond the low-hanging fruit of routine processes– the true transformation goal–cannot be solved with a single tool or siloed strategy. Achieving transformation requires the right portfolio of technologies, a decision framework, and prioritization of use cases.
BIG and its partners deliver it.
Achieving Real Scale with Business Process Automation
Automation requires leaders to adopt a disciplined approach to the integration and orchestration of multiple technologies.
Integration
Digital transformation starts with data because every business process requires data. Getting reliable, repeatable access to data, regardless of its format or location, provides both the structure and agility that ensures transformational success.
Workflow
A workflow is a system for managing repetitive processes and tasks from manufacturing a product, delivering a service, processing information, or other value-generating activity.
RPA
RPA automates complex end-to-end workflows in which tasks are repetitive, rules-based, and involve systems without APIs.
Process & Task Mining
Process mining uses data science and process analysis methodology to improve, monitor, and measure business process performance.
Low code
Low code is an intuitive, visual approach to software development used to rapidly design and iterate enterprise-ready apps, build beautiful UIs, and streamline people, technologies, data, and systems into a single workflow.
Machine Learning/Artificial Intelligence
AI can be used in process automation to improve efficiency and reduce the need for human intervention using machine learning algorithms to analyze data from various sources and make decisions based on that data.
What Our Customers Are Automating
Streamlined fraud prevention
Find out how Payoneer reduced its fraud prevention investigation time by 40%.
Accelerated private equity deal completion
Learn how TPG streamlined collaboration with a one-stop-shop solution for managing investment deals.
Reduced development costs
Read how a government organization provided funding 25% faster and significantly reduced development costs.
Our BIG Program approach accelerates delivery and enterprise adoption of automation.
BIG helps you address the challenges most organizations face when rolling out platform technologies to bring out the best capabilities, reliability, and scale automation has to offer.
Design
We help you articulate your future-state vision, analyze risks, evaluate alternative approaches, and make strategic choices that lead to sustainable value creation.
Build
We combine strategy, process and actions into an Agile plan that provides frequent, targeted deliverables in support of large scale initiatives (LSI).
Manage
We maintain and enhance the applications in production and ensure continuous user feedback to Design and Build teams.
“Bits In Glass helped us meet the Agile milestones necessary to increase velocity…”
– Patrick Bewley, Senior Data Architect, TPG
BIG Solutions
Automation use cases are found in most front-, middle- and back-office processes. These are just a few of the solutions we have developed to enhance CX, improve productivity, and reduce risk.
7 Ways Leading Companies Use RPA
RPA bots perform routine tasks more efficiently, work 24/7/365, and evolve as they work. RPA streamlines workflows to make organizations more flexible, profitable, and responsive. While these are notable advantages, they’re not the only ones.
Learn how top companies are using automation to transform.