SUCCESS STORY

Konvex – API Automation and Integration

At Servinformación, we developed a chatbot with a frontend that answers questions about the API, easing the technical team's workload. It improves the customer experience and is trained with new information to provide accurate, up-to-date answers.

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The project

Konvex is a unified API that integrates ERPs, CRMs, and e-commerce platforms through a single connection. It uses AI to read documentation, map fields, and generate backends in minutes. It connects with SAP, Odoo, QuickBooks, and others. Founded in Colombia, it operates in Latin America and the U.S., helping companies integrate quickly, easily, and at a lower cost. https://getkonvex.com

From the outset, we understood the complexity of the challenge but chose to lead it with vision. The result exceeded projections and marked a milestone: opening a new line of artificial intelligence innovation and successfully integrating it into our existing core business.

Cristóbal Sosa, CTO and Co-founder, Konvex

The challenge

Konvex faced slow processes for integrating new systems into its API. Manual information gathering took more than a week. The challenge was to automate these procedures to improve quality and reduce turnaround times, allowing new features to be incorporated into its customer API service offering more quickly and efficiently.

The solution

We implemented an AI solution to generate code from ERP system documentation, optimizing integrations. We used Google cloud services to centralize and secure information, automated its management, and synchronized it with the customer's repository. Finally, we transferred knowledge to the team for operation and maintenance.

Project results

Konvex faced a slow, manual process for incorporating new features into its systems, limiting its responsiveness. With support from Servinformación, it automated key tasks such as reading documentation and generating code. This reduced errors, accelerated turnaround times, and improved the quality and scalability of its development.

Figures and results correspond to the published project.

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