About
Resources
© All rights reserved
In the thrilling world of automated document processing, the question isn’t if errors and edge cases will arise, but rather when and how often. That’s where the real power of human-in-the-loop (HITL) automation shines. Building on our previous post, “The unseen power of human-in-the-loop automation for automated document processing,” we will delve deeper into the pivotal role of HITL in tackling these inevitable challenges. HITL automation elegantly marries human expertise with cutting-edge automation, forming a robust shield against the day-to-day complexities and variabilities encountered in document processing.
In the realm of document processing, errors and edge cases are commonplace due to the intrinsic complexity and variability of the documents involved. Businesses grapple with processing an assortment of documents daily, ranging from invoices and customer orders to quotes and purchase orders.
Among these, unstructured documents present a unique challenge. In contrast to structured documents such as invoices, where information neatly aligns with specific columns and positions, unstructured documents can be unpredictably diverse. For example, purchase order confirmations are complex unstructured documents containing a lot of critical information that lack a standard format. Suppliers have the liberty to confirm specific components as they see fit, resulting in varied structures across different order confirmations. This diversity often causes discrepancies when automatically extracting data, creating a gap between the order confirmation and the actual purchase order. Such errors and edge cases can put a dent in the efficiency and accuracy of document processing systems.
In the domain of document processing, encountering errors and edge cases is an expected part of the process. Despite this, the quest for maximising the efficiency and accuracy of automation tools calls for the crucial role of human-in-the-loop automation. Automation systems incorporating the HITL approach are designed to not only acknowledge but effectively manage errors and edge cases. This enables an uninterrupted and efficient workflow within automation systems. When extracting and processing data, HITL systems can identify and flag errors and edge cases for human review. By reviewing and correcting these issues, human experts provide valuable feedback to the system, enabling it to learn and improve.
Imagine a dynamic platform that harnesses the power of artificial intelligence while still valuing the irreplaceable human touch. That’s precisely what the Netfira Platform delivers—a sophisticated human-in-the-loop document automation solution that breathes life into the Purchase-to-Pay (P2P) and Order-to-Cash (O2C) processes.
In the training phase of the AI model, HITL teaches artificial intelligence through making decisions and allows the technology to gain experience through access to data and human feedback. Every document processed refines the AI’s understanding and improves its capabilities incrementally.
The Platform also features intelligent business logic, reducing exception rates, and ensuring accuracy in document processing. Users can set their own parameters, allowing the system to process as many documents as possible fully automatically. Extracted data can be enriched with additional data, such as currency, which is important for processing but is not included in the document. Moreover, users can set tolerances for shipping dates, quantity and more to allow the system to process pre-defined deviations between documents. Thus, building on human-in-the-loop automation, the Netfira Platform achieves the highest degree of automation when extracting, comparing and validating data.
As mistakes, anomalies and exceptions in document processing are inevitable, the Netfira Platform is designed to handle exceptions in document processing quickly and efficiently. If the Platform cannot process deviations through set tolerances or data enrichment rules, exceptions are identified and flagged by the system. The Platform directs the user to the parameters where human input is needed. In an easy-to-use interface, the exceptions are displayed in one place. Users can filter, sort and resolve exceptions quickly. Moreover, the system supports the user as it provides intelligent suggestions and guidance on how to manage each exception. By reviewing the exception and giving feedback, the user gives the HITL automation tool valuable information that helps it improve. As the Platform only flags exceptions which require human input, users only need to focus on tasks where their expertise is truly needed.
Because errors and edge cases in automated document processing can never be ruled out completely, it is important to handle them efficiently. Human-in-the-loop automation is pivotal in managing deviations and anomalies in B2B document processing, given that its principle of incorporating human feedback inherently enables the system to enhance its accuracy over time. Through the collaborative efforts of humans and machines, users can proficiently manage inevitable errors and edge cases. The Netfira Platform is specifically designed to offer robust, reliable, and efficient exception management. It ensures quick and straightforward resolution of exceptions, thereby preventing any interruption in document automation workflows. As human experts handle exceptions, their invaluable feedback aids the AI-driven system in achieving unparalleled accuracy and efficiency.
In the grand scheme of automated document processing, errors and edge cases are not hindrances but opportunities—opportunities to fine-tune the process, to learn, and to grow. Human-in-the-loop automation stands at the forefront of this evolution, transforming potential obstacles into stepping stones towards higher accuracy and efficiency. The Netfira Platform, with its efficient exception management, embodies this philosophy, combining the precision of AI with the adaptability of human expertise. As we embrace these inevitable challenges, we’re not just resolving errors—we’re shaping the future of automated document processing.
Are you interested in finding out more about exception management with the Netfira Platform?
© All rights reserved
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-advertisement | 1 year | Set by the GDPR Cookie Consent plugin, this cookie records the user consent for the cookies in the "Advertisement" category. |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
CookieLawInfoConsent | 1 year | CookieYes sets this cookie to record the default button state of the corresponding category and the status of CCPA. It works only in coordination with the primary cookie. |
elementor | never | The website's WordPress theme uses this cookie. It allows the website owner to implement or change the website's content in real-time. |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
_GRECAPTCHA | 5 months 27 days | Google Recaptcha service sets this cookie to identify bots to protect the website against malicious spam attacks. |
__hssc | 30 minutes | HubSpot sets this cookie to keep track of sessions and to determine if HubSpot should increment the session number and timestamps in the __hstc cookie. |
__hssrc | session | This cookie is set by Hubspot whenever it changes the session cookie. The __hssrc cookie set to 1 indicates that the user has restarted the browser, and if the cookie does not exist, it is assumed to be a new session. |
Cookie | Duration | Description |
---|---|---|
_hjAbsoluteSessionInProgress | 30 minutes | Hotjar sets this cookie to detect a user's first pageview session, which is a True/False flag set by the cookie. |
__cf_bm | 30 minutes | Cloudflare set the cookie to support Cloudflare Bot Management. |
Cookie | Duration | Description |
---|---|---|
hubspotutk | 5 months 27 days | HubSpot sets this cookie to keep track of the visitors to the website. This cookie is passed to HubSpot on form submission and used when deduplicating contacts. |
_ga | 1 year 1 month 4 days | Google Analytics sets this cookie to calculate visitor, session and campaign data and track site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognise unique visitors. |
_gat_gtag_UA_* | 1 minute | Google Analytics sets this cookie to store a unique user ID. |
_gid | 1 day | Google Analytics sets this cookie to store information on how visitors use a website while also creating an analytics report of the website's performance. Some of the collected data includes the number of visitors, their source, and the pages they visit anonymously. |
_hjFirstSeen | 30 minutes | Hotjar sets this cookie to identify a new user’s first session. It stores the true/false value, indicating whether it was the first time Hotjar saw this user. |
_hjRecordingEnabled | never | Hotjar sets this cookie when a Recording starts and is read when the recording module is initialized, to see if the user is already in a recording in a particular session. |
_hjRecordingLastActivity | never | Hotjar sets this cookie when a user recording starts and when data is sent through the WebSocket. |
__hstc | 5 months 27 days | Hubspot set this main cookie for tracking visitors. It contains the domain, initial timestamp (first visit), last timestamp (last visit), current timestamp (this visit), and session number (increments for each subsequent session). |
Cookie | Duration | Description |
---|---|---|
_hjIncludedInSessionSample_3458699 | 2 minutes | Description is currently not available. |
_hjSessionUser_3458699 | 1 year | Description is currently not available. |
_hjSession_3458699 | 30 minutes | Description is currently not available. |