AI Teammate for DevOps, Engineering and Project Management

A technology firm wanted an AI-powered knowledge assistant to help DevOps teams and project managers leverage private data for troubleshooting and decision-making. The challenge was to build an AI solution that could analyze internal documents, meeting recordings, issue tickets, and conversations—while ensuring full data privacy.

Challenges

🔹 DevOps teams struggled with issue resolution in private cloud environments.
🔹 Project managers spent hours analyzing meeting notes to track decisions and action items.
🔹 Data security was a priority—public AI tools couldn’t be used due to compliance requirements.

Solution

We developed a self-hosted AI knowledge assistant that:

✅ Guides DevOps Teams – Analyzes logs, tickets, and internal docs to provide step-by-step solutions for private cluster issues.
✅ Summarizes Meetings & Chats – Generates daily, weekly, and monthly reports from meetings, highlighting key decisions.
✅ Conversational AI for Contextual Insights – Allows users to chat with AI for topic-wise breakdowns of discussions.
✅ Privacy-First AI – Self-hosted LLMs with OpenAI, Azure OpenAI, or custom models to ensure full control over private data.
✅ Seamless Integrations – Works with Zoom, Teams, PG Vector, PostgreSQL, and Airflow for real-time data processing.

Impact & Results

🚀 Improved DevOps efficiency with automated troubleshooting guidance.
🚀 Faster decision-making through structured meeting summaries and action tracking.
🚀 100% data privacy with self-hosted AI models and secure data pipelines.

Tech Stack

🔹 Backend: FastAPI, Python
🔹 AI & NLP: OpenAI, Azure OpenAI, Groq, VLLM, Ollama
🔹 Database: PostgreSQL, PG Vector
🔹 Cloud & Processing: Apache Airflow, Kubernetes

By leveraging AI for private data, the platform empowered DevOps engineers and project managers to make faster, data-driven decisions while ensuring security and compliance.