The recent advances in cloud computing and artificial intelligence are creating an opportunity for organizations to upgrade their information processing, while reducing their overall cost.
This isn’t just an excellent way to increase profit, but also a key strategy in remaining competitive against both larger players as well as nimble new upstarts.
FormKiQ is leading the way with our event-driven document and information management platform. By deploying FormKiQ directly into an AWS account under the organization’s control, it’s possible to reduce or eliminate manual processes, increase accuracy, and expand on information processing capabilities.
This is a major improvement over what was previously available for information processing.
For most organizations, processing a steady stream of both digital and physical documents is a daily reality. However, the traditional methods used to handle this influx—manual data entry and basic import tools—often fall short.
Manual Data Entry Challenges:
Limitations of Basic Import Tools:
At FormKiQ, our approach to enhancing import tools involves increasing the flexibility and customization available in import workflows and specific actions. By employing a combination of rules-based processing and cost-effective large language models (AI), we significantly reduce the need for manual intervention.
Utilizing well-established services such as Amazon Textract and Amazon Bedrock, coupled with sophisticated intelligent document processing algorithms and robust rule-handling capabilities, FormKiQ offers a more dependable and efficient method for document and data intake, achieving a higher degree of automation.
Moreover, the data extracted from these documents can be converted into formats suitable for integration with enterprise software applications like SAP, NetSuite, and Salesforce. The documents are systematically categorized and stored within an organization’s Amazon account, making them readily available for auditing, reporting, or later retrieval.
These processes are managed via the FormKiQ API and through the use of FormKiQ’s Rulesets and Workflows. This system allows incoming documents to be assessed and organized by applying a classification schema, generating attributes such as tags and metadata, and determining the necessary actions for each document.
This not only reduces the manual workload and associated costs but also lowers core processing costs due to the scalable and adaptable architecture of FormKiQ, which aligns with the AWS Well-Architected Framework.
Furthermore, FormKiQ’s adaptable multi-step document processing system enhances cost-efficiency; it initially handles the extraction of document attributes through programmatic and rules-based processing. Documents requiring more detailed processing are then directed to specific AI-driven extraction steps as needed. Any documents with issues that require manual review, such as incomplete data, are routed to a queue for further inspection.
These advancements enable FormKiQ to offer enhanced processing capabilities that adapt and scale with an organization’s demands, thereby minimizing manual involvement and reducing the total cost of ownership.
As of May 2024, we provide these functionalities across various industries, including HR, education, and retail. The adaptability of FormKiQ’s information processing allows any sector to quickly and efficiently utilize this technology.
If you have a use case that could benefit from FormKiQ’s flexible information processing, please reach out. We can go over your requirements and create and demo a detailed plan that meets the needs of your organization.
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