AI-Powered Data Entry Automation

A swift way to fast adoption of your data

Many BI/Datalake projects struggle with simplifying and automating data entry. Now, there's a solution designed to meet the needs of businesses using both Azure and AWS cloud platforms.

Challenges of Manual Data Entry

Businesses of all sizes and industries often grapple with inefficient and costly data entry.

High cost and time-consuming manual work: Manual data entry is resource-intensive and expensive. Employees spend valuable time on repetitive tasks that could be used more strategically.

Errors and inaccuracies: Human error is unavoidable, and manual data entry is particularly susceptible to typos, omissions, and inconsistencies. This can lead to data quality issues, incorrect decisions, and operational problems.

Slow processing time: Manual data entry can be a bottleneck, delaying business processes like invoice processing, order handling, and customer service.

Scalability challenges: During peak loads or growth, it can be difficult to scale manual data entry to handle increased volume without hiring more staff and increasing costs.

Employee well-being and motivation: Repetitive data entry tasks can be demotivating for employees, which can affect well-being and retention.

Security risks: Manual handling of sensitive data increases the risk of data leaks and compliance issues.

How AI-Powered Data Entry Automation Helps

An AI-powered data entry automation solution can transform data management and address these challenges in several ways:

Reduced costs and time savings: Automation minimizes the need for manual work, significantly reducing costs associated with salaries, administration, and error correction. At the same time, employee resources are freed up for more value-creating tasks.

Improved accuracy and data quality: AI-driven data entry, which often underlies these solutions, is far more accurate than manual data entry. This ensures higher data quality, fewer errors, and more reliable analysis and decisions.

Faster processing time: Automated systems can process documents and data much faster than humans. This accelerates business processes, improves response times, and increases efficiency.

Scalability and flexibility: Automated solutions can be easily scaled up or down as needed, giving businesses the flexibility to handle fluctuating data volumes and growth without having to hire and train additional staff.

Improved employee well-being: By automating routine tasks, employees can focus on more challenging and interesting work tasks, which can increase motivation and well-being.

Increased security and compliance: Automated systems can be implemented with stronger security controls and audit trails, reducing the risk of data leaks and helping to comply with compliance requirements.

Platform independence: A solution that works across both Azure and AWS gives customers flexibility and avoids vendor lock-in. This is especially beneficial for companies that already use multiple cloud platforms or want to retain freedom of choice in the future.

Our Solution

DELVIQ, together with our partner Baltic Amadeus, can help with a solution to this problem. We offer a holistic approach that helps customers implement and take full advantage of data entry automation:

Expertise across platforms: With experience in both Azure and AWS environments, we can advise on the optimal platform or hybrid solution based on your existing infrastructure and specific needs.

Customized solutions: We understand that no two companies are alike. Therefore, we offer customized solutions designed to handle specific document types, business processes, and integration requirements. This may include custom training of AI models to achieve maximum accuracy.

End-to-end service: A complete service package that includes consulting, development, implementation, integration, training, and ongoing support. This makes it easier for customers to adopt automation, even without internal expertise.

Integration with existing systems: The solution offers integration to a number of standards. They ensure that the automated data entry solution process integrates seamlessly with customers' existing ERP, CRM, and other business systems.

Managed service option: For companies that want to outsource the entire process, we offer a managed service model where we take responsibility for the operation, maintenance, and optimization of the solution.

Focus on value and ROI: The solution focuses on delivering measurable results and a clear Return on Investment (ROI) for our customers through increased efficiency, reduced costs, and improved data quality.

Overall, we offer a platform-independent data entry automation solution that addresses the key pain points of manual data entry. By combining AI, technological expertise with a service-oriented approach, we help companies transform their data management and achieve significant benefits across their organization.

Contact Leif Rasmussen, Partner Data & AI for further dialogue / [email protected] / +4551578250