Problems Our Client Faced
Time lost on simple search tasks
Too much noise and a lack of clarity regarding policies
Slow response from HR
A large company noticed that its output started to drop. Workers could not find facts inside their own files. They looked through PDFs, SOPs, policy files and long Slack threads for hours almost every day. This back–and–forth talk killed the flow of work and led to delayed responses, no matter the urgency. Our Agentic AI development services team identified that they need an internal knowledge automation database. So, we set up an agentic AI to stop this. It uses a secure database to fetch facts. It gives a short summary to the worker.
Enterprise
Agentic AI Development
First, we decided to create an up–to–date knowledge database and put it into a secure system. We ensured to set up the database in a way that is easy to manage, add new files, and simultaneously temper-proof.
Next, our team creates a document AI solution that can access and read required data in natural language anytime.
To ensure you only get the up-to-date data with maximum accuracy, thanks to our RAG design.
Finally, we deployed the Agentic AI solution in production and checked the responses to see if any fine-tuning is required.
Policies, trade secrets, and confidential client details need to be protected from prying eyes, so we created a system that prevented unauthorized access to sensitive data.
Most AI systems suffer from hallucinations, which can have major consequences for the client. That’s why we created RAG AI, which also provides document citation along with the answer.
We created a knowledge base that reindexes information and updates itself as you update the policies or files.
