In today’s digital-first economy, organizations are relentlessly pursuing greater efficiency and productivity – and hyperautomation is at the forefront of this effort. Beyond just automating tasks, hyperautomation blends advanced AI technologies to streamline and enhance complex business processes.
This article focuses on how Artificial Intelligence (AI) is transforming hyperautomation, reshaping business operations to meet today’s digital demands.
The Evolution Beyond the Limitations of Rules-Based Automation
Robotic Process Automation (RPA) marked a significant advancement in automation, finding its place in almost every organization, automating routine, highly repetitive, rules-based tasks. Likewise, many organizations have turned to Business Process Optimization, which seeks to automate multi-step, repetitive processes.
However, these approaches to automation, while effective for predictable tasks, have struggled when it comes to handling the unpredictable and varied nature of modern business processes. The challenges are especially acute as organizations (and their customers and partners) increasingly operate in unstructured, ‘human friendly’ information – including text, images, and videos.
As business processes evolve, the rigid functionality of rules-based solutions means that the bots are no longer able to complete their assigned tasks. And so, as your business grows and processes become more complex, more bots and more manual coding are required to handle more tasks, leading to higher investment and maintenance all round.
But like the times, our automation efforts are changing. The growing complexity of business environments drives the shift toward more adaptive and intelligent automation solutions, such as Intelligent Document Processing (IDP). And thus more advanced automation tools that offer greater flexibility through AI, machine learning, and natural language processing, are beginning to emerge.
The Intersection of AI and Hyperautomation
With the orchestrated use of multiple technologies, such as AI, hyperautomation promises to scale even the most complex business processes.
Supercharge post-processing productivity
The ability to integrate AI tools like GPT and Llama into your hyperautomation workflows provides knowledge workers with instant access to advanced AI capabilities, opening up new levels of productivity during post processing.
Imagine a scenario where knowledge workers are able to pair extracted data along with business rules written in natural language, or extract entire clauses from a document, compare them, and then summarize any differences. With these integrations, such complex tasks become manageable.
Gain competitive advantage with AI-powered insights
With the rapid rise of AI tools like GPT-4 and Llama, hyperautomation is becoming a hot market. These tools can be combined with proven, turnkey solutions that are trusted by the enterprise, to securely and privately train models, using a customers’ own data. Done correctly, this gives organizations a unique competitive advantage – enabling them to deliver faster and superior customer service, accelerate sales cycles, and gain insights into market opportunities.
Such tools will also enable businesses to identify inefficiencies in their operations and streamline them to help increase profitability.
Pioneering AI-Powered Hyperautomation
There’s no doubt that embracing AI-driven solutions is crucial for businesses to future-proof their processes, enhance decision-making, and improve efficiency.
At Hyperscience, we fully embrace the opportunity AI presents in helping our customers achieve hyperautomation at scale. Rather than using multiple tools for different tasks, Hyperscience delivers a leading enterprise AI software infrastructure solution, enabling customers to automate end-to-end processes with ease.
Powered by industry leading AI, Hyperscience is enabling government and enterprise customers to achieve 99.5% accuracy and 98% automation. One customer was able to reduce processing times by 85% with Hyperscience, while another, TD Ameritrade, was able to double processing speed with 50% fewer data keyers, quadrupling throughput within the first 4 weeks.
See how Hyperscience can help you achieve AI-powered hyperautomation at scale in this short demo.