The client wanted to build a cost-effective and efficient BPA platform that helps enhance the productivity of business users by creating automated processes through a user-friendly interface. The vision was to build a platform similar to ChatGPT that leverages generative AI to automate complex business processes and workflows using English as code.
Our client is a pioneering technology startup based in California, leveraging the power of artificial intelligence to automate various enterprise business processes. The company's products and services empower business users to automate mundane tasks, drive innovation, personalize customer experiences, and enhance efficiency through plain English commands. Their SaaS platform integrates seamlessly with major ERP, CRM, and productivity solutions.
Our customer had successfully raised $4.5 million in a seed funding round to develop an easy-to-use automation platform that can extract valuable business insights from data obtained from various sources such as operations, sales, and other analytical and marketing tools.
Due to time and bandwidth constraints, they wanted to engage with an external engineering partner and quickly onboard skilled developers. They turned to Velotio because of our Web App Development, Data Engineering, Analytics, Automation, and Data Science expertise.
The client wanted to build a cost-effective and efficient BPA platform that helps enhance the productivity of business users by creating automated processes through a user-friendly interface.
The client aimed to remove historical barriers posed by legacy software systems, such as Salesforce, SAP, Workday, etc.
We opted for ChatGPT, like a generative AI chatbot interface, because it has several advantages over traditional interfaces. The vision was to build a platform that uses conversational AI to not only automate repetitive operations but also help redefine how business users interact with the systems.
Our collaboration with Velotio has been nothing short of exceptional. Their team seamlessly integrated with ours, quickly grasping our needs and providing valuable insights and suggestions. In just three weeks, they delivered a platform that far exceeded our expectations in terms of performance and flexibility. Their agile approach enabled us to launch the platform on time. What impressed us the most was their team's ability to communicate effectively, ensuring that everyone was on the same page throughout the entire development process. This level of transparency and collaboration significantly contributed to the project's succes
Our client aimed to bring the power of Generative AI to a search engine that runs English as Code to automate intricate business processes and workflows.
Dataabsolute took on the challenge of building the custom platform within the expected timeline with a team of Frontend engineers, Backend engineers, UX designers, a product owner, and a QA.
After extensive research and brainstorming, we chalked out a plan to build a serverless system with the goal of making it extremely scalable and easy to use. Since the platform's vision was so closely related to the functionality of ChatGPT, we were anticipating a huge flow of user traffic to the platform as soon as it was released, so scalability was of utmost importance. To accomplish this goal, we leveraged AWS Lambda backends - AWS serverless resources - and utilized AWS S3 and AWS CloudFront services on the front end to ensure the system could smoothly scale to meet the demands of an unlimited number of global users on demand.
For an intuitive interface design, we built an innovative interaction with a system like ChatGPT. It allows users to take actions based on system-generated prompts. This easy-to-use interface enables users to seamlessly use everyday English as commands to automate business processes and workflows.
We identified the various business processes or workflows the chatbot would automate or assist with. We also identified the requirements for the chatbot interface, the types of queries it should handle, the level of personalization required, and the response time expectations. This helped guide the design and development process by defining the scope, goals, and objectives of the implementation. We also determined if the chatbot use case requires the advanced capabilities of GPT-4, such as natural language generation, sentiment analysis, or machine translation.
AWS offers a wide range of services that can be used to build and deploy our implemented platform, including AWS Lambda, Amazon S3, Amazon DynamoDB, Amazon Lex, and more. We worked with the client on cost and timelines to select the appropriate services based on the use case and requirements