Author: Monique Sherman

Jul 25, 2023 by Monique Sherman

Automation Hero introduces cutting-edge document forgery detection capabilities

In an age where document-centric processes are central to business operations, the risk of fraud and manipulation looms large. Insurance fraud, for instance, is estimated to cost more than $308 billion annually, causing the average U.S. family between $400 and $700 per year in increased premiums¹. And, with increased digitization, many changes have been deployed at the front end; however, back-end processes and systems remain untouched, which raises the question: have all changes been assessed for their vulnerability to fraud?

Similarly, return fraud is a growing concern for retailers, accounting for over 10% of total retail returns and costing U.S. retailers $761 billion². 

To combat these issues, Automation Hero has stepped up its game by introducing new capabilities for its intelligent document processing platform that supports intelligent document forensics. Our advanced AI-powered platform helps determine if documents involved in any process have been potentially manipulated, combating fraud and ensuring authenticity. 

Types of document forgery

Document forgery encompasses a wide range of deceptive practices involving the manipulation of documents to deceive others into believing they are genuine. Some common types of document forgery include:

• Signature forgery: Fraudsters alter or replicate signatures to misrepresent a document’s authenticity and authorization.
• Altered content: Documents are tampered with to change critical information, such as dates, amounts, or terms.
• Counterfeit documents: Criminals create completely fake documents to impersonate legitimate ones.
• Photocopy manipulation: Unauthorized alterations are made to photocopies of documents to present false information.

Common strategies in insurance fraud

Insurance fraud is a pervasive issue, and fraudsters adopt various strategies to deceive insurers. Some common strategies include:

• False claims: Policyholders submit claims for damages or losses that never occurred.
• Exaggerated claims: Legitimate losses are reported, but the claimant exaggerates the extent of damage or the value of lost items to receive a larger payout.

Challenges faced in fraud risk mitigation

While many insurers have dedicated fraud mitigation units, their effectiveness is often limited by various challenges:

• Problems with data quality: Insurers face data quality issues, including errors, omissions, and inconsistencies across different systems, impacting analytical tools’ efficacy.
• Limited use of analytical tools: The lack of advanced technology tools like predictive analytics and fraud detection systems hampers proactive and timely fraud detection.
• Issues with data protection and privacy: Stringent data protection policies can lead to limited access to crucial data, making fraud risk mitigation a significant challenge.

Detecting document forgery with advanced AI capabilities

In the digital era, document forgery has become more sophisticated, making traditional detection methods insufficient. To combat this, leveraging advanced AI capabilities is crucial. Some cutting-edge techniques to detect document forgery include:

• Image analysis: AI algorithms can scrutinize document images for irregularities, inconsistencies, and signs of tampering.
• Pattern recognition: Advanced AI can identify unique patterns in signatures and handwriting, distinguishing between genuine and forged content.
• Metadata examination: Analyzing metadata can unveil clues about a document’s origin and potential modifications.
• Text analysis: AI-powered algorithms can detect copy-paste or other text alterations that may indicate forgery.

Automation Hero’s intelligent document forensics methods

Automation Hero’s end-to-end platform seamlessly integrates document forensics, bolstering fraud risk mitigation. Some of the key methods utilized by the platform include:

• EXIF and XMP data analysis: Metadata within document files provides vital information about post-scanning alterations and the software used for modifications.

• Scan fingerprint analysis: Subtle patterns in document scans reveal manipulations that are barely visible to the human eye, exposing any anomalies.

• Copy-paste detection: This method identifies instances of identical text, exposing fraudulent alterations made by copying and pasting text.

In a world riddled with document forgery and manipulation, Automation Hero’s intelligent document processing platform is a game-changer. By leveraging advanced AI capabilities for intelligent document forensics, they enable businesses to detect potential fraud and ensure the authenticity of documents within their processes. This helps combat insurance fraud, reducing its staggering annual costs, and protects retailers from return fraud, enhancing profitability.

You can also check out our video below, which provides a demo.

1. Coalition Against Insurance Fraud (CAIF)
2. National Retail Federation

Nov 18, 2019 by Monique Sherman

IDC predicts that by 2021 AI-powered CRM activities will boost business revenue by $1.1 trillion. Businesses must embrace artificial intelligence to optimize processes and implement cost-saving strategies to remain relevant in a technology-driven world.

Companies simply cannot afford to waste time and money on outdated, time-consuming or unnecessary operations. Sales teams, in particular, must learn to combine their efforts with disruptive technologies to improve efficiency.

The best use of sales reps’ time is spent interacting with prospects, but they are often bogged down with repetitive tasks that take up hours of their week.

• > 67% of sales reps miss their annual quota
• 75% of sales reps feel they could be more productive if they spent less time on data entry
• 85% of companies believe their CRM opportunities and leads information is inaccurate.

Automation Hero’s sales automation platform, powered by AI. It targets multiple stakeholders in the sales organization to maximize organizational efficiency and effectiveness.

We’re helping push business boundaries and redefine processes by automating the taxing workload of information workers. By combining the power of three AI engines – recommendation, dark data extraction and intent detection – our platform has the capability and flexibility to employ a vast range of use cases by connecting any data source, integrated system or business workflow that garners significant ROI across an organization.

What can you do with AI? Intent detection to automate common customer requests. By automating common customer requests behind the scenes, sales teams have ample opportunity to speed things along and still provide high-touch, detailed support.

Automation Hero can identify the intent of incoming requests such as scheduling a meeting, returning a product or changing an address and can route or draft replies appropriately.

Dark data extraction to eliminate repetitive, time-intensive sales tasks. Sales reps spend almost 64% of their time on non-revenue generating sales activities.

Automation Hero’s sales automation platform automates repetitive sales tasks such as CRM data entry, prospecting and scheduling – giving sales reps get their time back to focus on building customer relationships and crushing quota.

Predictive recommendations to augment sales rep decision making. Acquiring new customers is expensive. In fact, it costs enterprises $1.18 to make $1. Turbocharge your sales cycle and lower acquisition cost by understanding the best time for your reps to offer new and complementary products or services to existing customers.

By analyzing historically successful engagement in the CRM system, email and calendar, Automation Hero can provide cross-and-upsell recommendations, best-next steps and reduce churn, helping sales reps drive deals faster with confidence.

Oct 01, 2019 by Monique Sherman

You have a business and its growing. You understand the value of automation and you’re fully on board with it. Gartner considers RPA (Robotic Process Automation) the fastest growing software category, predicting that it will grow 57% in 2019 alone. Of the companies who haven’t adopted RPA yet, 84% will start implementing it fully or partially over the next three years.

You, on the other hand, are already there. You’re ahead of the game.

But something doesn’t quite add up. Your employees now have more tools to help them do their job but they also spend more time manipulating those tools. 

That great idea that one of your team members brought up at the last company meeting? You know it would take your business one level up but you also know it’s impossible to implement because of time constraints and resource allocation. Despite all the progress, employees are still heads down dealing with tasks that require intense manual work for complex processes – things like data extraction and data normalization – turning unstructured content, such as text and images, into the structured format needed for downstream tasks.

Keep in touch

What most people don’t realize is that RPA technology, while extremely useful, is over a decade old. It was designed to mimic activities carried out by humans, but what we really need today is technology that mimics human intelligence.

Luckily such technology already exists. IA (Intelligent Automation) is a set of new technologies that fall under the umbrella of AI. It combines RPA with machine learning and fundamental process redesign through next-gen automation technologies like intelligent document processing (IDP), meaning it can learn and improve over time.

Intelligent Automation should be implemented in advanced automations where moving from rules-based to an experiences-based (AI) decision making will make a huge difference.

What role does intelligent document processing (IDP) play?

Intelligent document processing (IDP) has emerged as a critical element within the wider automation landscape. IDP technology was born out of the need for organizations to accurately extract data from documents. In essence, IDP leverages artificial intelligence (AI) and natural language processing (NLP) to effectively handle and oversee document-centric business processes. Through the adoption of IDP, enterprises can optimize business processes that involve large volumes of documents to reduce manual effort, enhance precision, and reach their digital transformation goals.

A notable advantage of IDP is its seamless integration with other automation tools like robotic process automation (RPA). This compatibility with existing technologies enables companies to enhance their current automation strategies, leading to improved overall efficiency and expanded operational scope.

Optical character recognition (OCR)

OCR (optical character recognition) is the technology that can read text within documents the same way humans do. However, unlike humans, OCR can recognize characters, numbers, letters, and words — in any font or language.

As you might expect, the most significant impact of OCR is on manual data entry tasks. OCR speeds up this essential business process and makes it convenient to turn words from scanned PDFs or images into text that can be edited or copied without manual retyping.

Even with the limitations of legacy OCR technology, it can help organizations streamline the digitalization of structured documents. According to performance benchmarks, Automation Hero’s patent-pending Context-aware OCR is 68% more accurate than ABBY’s Flexicapture and delivers 281% greater accuracy in terms of handwriting recognition.

Don’t Spend More on Ripping and Replacing

If you’ve already implemented RPA you might be nervous that in order to get the benefits of AI, you have to rip and replace whatever system you currently have in place. But is it worth the time and money? Probably not. That’s why we’ve designed Hero_Flow in such a way that it easily integrates with whatever system you currently have in place and leaves the door open for any other technology that you might use in the future. Our platform has more than 50 connectors and a plug-in API that can easily connect with even the most complex IT systems. 

You will also get the flexibility to customize the system. While traditional RPA vendors have good data source libraries, you have no control over what the connector actually does and cannot customize it. Hero_Flow has a JDBC connector that allows you to directly define what the connector does and to do it at your own pace (you don’t have to wait for us to design it for you).

Built-in AI Eliminates Potential Security Issues

Traditional RPA adds in AI through partnerships or third-party add-ons. Are you concerned about introducing a third party system and the security risk that comes with it?  So are we. That’s why with Hero_Flow, the AI is built in, minimizing the risk of any security issues or information loss.

With AI native to the platform, you can upload pre-existing AI models or build your own deep learning AI models within the point-and-click environment of AI Studio and use those. After you have an AI model for your automation, the model is trained by your data to improve accuracy over time.

Up and Running in No Time on the Cloud

Worried that a new system will use precious computer power which will slow things down even further? Traditional RPA runs locally on your machine for attended automations (and within an organization’s network on-premise for unattended automations). That means that traditional RPA vendors would have to retrofit their platforms to run on the cloud. And with retrofitting comes inevitable technology tradeoffs.

Hero_Flow was built to run natively on the cloud (but can also support running on-premise, without any tradeoffs). Having the platform run on the cloud means you can use your computer power for more powerful and creative tasks.

The other benefit of being native to the cloud is that the set up takes no time at all. You can get up and running very quickly.

So now that there is technology advanced enough to take over complex automation tasks requiring human intelligence, are you ready to free up the humans on your team to do more interesting work? You’ll be surprised what they come up with. 

Unlock the intelligence in your documents with our AI-driven automation today

Learn how we helped Markerstudy reduce its claims processing time by 40%. Additionally, learn how we reduced total claim processing time by 80% for another multinational insurance partner — cutting down manual tasks from 10 minutes to just two minutes per claim.

• Speak with an expert — tell us about your specific use case.

• Get a personalized demo — schedule a demo, and our Heroes will get in touch!

Oct 01, 2019 by Monique Sherman

You have a business and its growing. You understand the value of automation and you’re fully on board with it. Gartner considers RPA (Robotic Process Automation) the fastest growing software category, predicting that it will grow 57% in 2019 alone. Of the companies who haven’t adopted RPA yet, 84% will start implementing it fully or partially over the next three years.

You, on the other hand, are already there. You’re ahead of the game.

But something doesn’t quite add up. Your employees now have more tools to help them do their job but they also spend more time manipulating those tools. 

That great idea that one of your team members brought up at the last company meeting? You know it would take your business one level up but you also know it’s impossible to implement because of time constraints and resource allocation. Despite all the progress, employees are still heads down dealing with tasks that require intense manual work for complex processes – things like data extraction and data normalization – turning unstructured content, such as text and images, into the structured format needed for downstream tasks.

What most people don’t realize is that RPA technology, while extremely useful, is over a decade old. It was designed to mimic activities carried out by humans, but what we really need today is technology that mimics human intelligence.

Luckily such technology already exists. IA (Intelligent Automation) is a set of new technologies that fall under the umbrella of AI. It combines RPA with machine learning and fundamental process redesign, meaning it can learn and improve over time. Intelligent Automation should be implemented in advanced automations where moving from rules-based to an experiences-based (AI) decision making will make a huge difference.

Don’t Spend More on Ripping and Replacing

If you’ve already implemented RPA you might be nervous that in order to get the benefits of AI, you have to rip and replace whatever system you currently have in place. But is it worth the time and money? Probably not. That’s why we’ve designed Hero_Flow in such a way that it easily integrates with whatever system you currently have in place and leaves the door open for any other technology that you might use in the future. Our platform has more than 50 connectors and a plug-in API that can easily connect with even the most complex IT systems. 

You will also get the flexibility to customize the system. While traditional RPA vendors have good data source libraries, you have no control over what the connector actually does and cannot customize it. Hero_Flow has a JDBC connector that allows you to directly define what the connector does and to do it at your own pace (you don’t have to wait for us to design it for you).

Built-in AI Eliminates Potential Security Issues

Traditional RPA adds in AI through partnerships or third-party add-ons. Are you concerned about introducing a third party system and the security risk that comes with it?  So are we. That’s why with Hero_Flow, the AI is built in, minimizing the risk of any security issues or information loss.

With AI native to the platform, you can upload pre-existing AI models or build your own deep learning AI models within the point-and-click environment of AI Studio and use those. After you have an AI model for your automation, the model is trained by your data to improve accuracy over time.

Up and Running in No Time on the Cloud

Worried that a new system will use precious computer power which will slow things down even further? Traditional RPA runs locally on your machine for attended automations (and within an organization’s network on-premise for unattended automations). That means that traditional RPA vendors would have to retrofit their platforms to run on the cloud. And with retrofitting comes inevitable technology tradeoffs.

Hero_Flow was built to run natively on the cloud (but can also support running on-premise, without any tradeoffs). Having the platform run on the cloud means you can use your computer power for more powerful and creative tasks.

The other benefit of being native to the cloud is that the set up takes no time at all. You can get up and running very quickly.

So now that there is technology advanced enough to take over complex automation tasks requiring human intelligence, are you ready to free up the humans on your team to do more interesting work? You’ll be surprised what they come up with.