Intelligent Automation

Bridge Gaps, Transform Workflows, and Scale for the Future

Intelligent Automation iya

Companies that invest more in digital transformation actually outperform their peers over time. These companies are more prepared for disruption, better able to monetize new digital channels, and better able to build a bigger user base. What’s more, this phenomenon exists regardless of industry.”

— Geoff Cubitt, CEO, Isobar US

Capture, Understand and Automate

Intelligent Automation is a combination of technologies such as (BPM) Business Process Management, (IDP) Intelligent Document Processing, (RPA) Robotic Process Automation, (AI) Artificial Intelligence including (ML) Machine Learning and Cognitive Capture.

Data driven decision making icon
Data Driven Decision Making

The technology is used in conjunction to streamline and scale decision making across the organisation and improve the customer experience.

Unlocks data intelligence
Unlocks Data Intelligence

IA unlocks data intelligence; it frees up resources and improves operational efficiencies.

improved process efficiency
Improved Process Efficiency

IA allows you to put a framework around all the tasks and processes your organisation performs so that workflows can be improved, scaled, and optimised over time.

Intelligent Process
Automation

Intelligent Process Automation image
Workflow Automation

(BPM) Business Process Management

The “do this, do that” decisions that provide streamlined consistency across all the processes in your workflow to improve interactions and engagement.

Document Intelligence

Cognitive Capture and NLP Natural Language Processing

Automatically extract information contained on documents with cognitive capture, and have your emails, service requests, and customer inquiries read, triaged, and already half completed using natural language processing and machine learning. Eliminate the unfortunate errors caused by human manual data entry to scale and transform employee productivity

The Decision Engine

(AI) Artificial Intelligence and (ML) Machine Learning

The ever-evolving algorithm that analyses structured and unstructured data to formulate predictions based on your data.

Software Bots

(RPA) Robotic Process Automation

(AI) Artificial Intelligence and (ML) Machine Learning bots complete back-office tasks such as extracting data or filling out forms, combined with AI they can handle more complex tasks and use cases. Bots bridge the gap between what you want to do, and what software systems need to be navigated to complete the task.

How IA platforms allows your organisation to have streamlined workflows

An Intelligent Automation platform allows your organisation to streamlined workflows so that you can automate exactly how you wish your business to operate.

Savvy organisations leverage intelligent automation to gain a competitive advantage by enabling easier access to relevant data, which leads to better decision making, and ultimately the streamlining of workflow processes.

IA gathers, tracks, organises, analyses, reports on and manages your organisations valuable data. This data can be used to improve operations, correct bottlenecks, forecast future needs, and develop the best practices for ultimate process efficiency.

Top Reasons why you should choose Intelligent Automation

Reduces process handling times
Improve the speed of your workflow with process analytical tools to pinpoint bottlenecks and areas for improvement.
Improves
data accuracy
Reduce the risk of transactional errors including duplicate data entry, mistakes in rule application, and missed steps for better data-driven decision making.
Helps to perform analytics
Machine Learning (ML) continuously analyses your data to perform analytics, calculate risks, predict next steps, verify transactions, and suggest actions needed.
Analyse textual
information
Natural Language Processing (NLP) can understand customer requests using statistics and learning algorithms to understand meaning, sentiment, and intent of communications.
Helps to accomplish
more.
Even if API’s don’t exist to launch software, Robotic Process Automation (RPA) can fetch information and move data from one system to the next.
Integrates legacy
systems
Even if API’s don’t exist to launch software, Robotic Process Automation (RPA) can fetch information and move data from one system to the next.

Integration Methods

Case Studies

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FAQ's

What processes are the best fit for Intelligent Automation?

Intelligent Automation solutions can be used to automate tasks in any industry, including insurance, healthcare, banking and financial services, procurement, supply chain management, and manufacturing. While many of the tasks in these industries vary in their outcomes, they also have commonalities that make them suitable for automation. Ideally processes that benefit from Intelligent Automation are those that are repetitive and consistent, don’t require constant human intervention, are high-volume, and time-consuming.

What is the point of using Intelligent Automation?

To reduce manual business processes and improve decision making by combining the core automation tools of business process management, robotic process automation, and artificial intelligence.

How will Intelligent Automation work long-term for the company?

One reason to implement IA within your company is scalability. Order processing or accounts payable workflows, for example, can be replicated or reused across different business departments and between locations. Scaling your robotic workforce can be an ongoing development to match the growth of your company, as well as be scaled temporarily to meet business demand during a specific window.

What results can I expect from Intelligent Automation?

Repetitive tasks take up a significant amount of an employee’s time. When these tasks are automated, employees can not only spend more time focusing on higher value tasks that involve complex decision making, but intelligent automation can also provide new data insights.

Can Intelligent Automation work in any software application?

Yes Intelligent Automation is fully agnostic and can be used to automate and integrate data in any application (on premise or cloud-based) and in any interface or server.

Does Intelligent Automation require maintenance?

Adjustments to rules and updates are commonplace with Intelligent Automation. If you find your automations are creating too many exceptions there may be a need to increase certain thresholds to reduce the burden on your team. ACMO are on hand to support your solution and offer annual maintenance checks.