• 

  Overview page of InsightAI – SLA Performance Assistant

In many operations teams, performance analysis is still a manual and time-consuming task. As someone working closely with SLA metrics, AHT, and operational dashboards, I’ve seen how managers spend hours trying to understand why performance dropped and what actions to take.

I wanted to explore how AI could act as a virtual business analyst — not just presenting data, but actually explaining it and recommending improvements.

InsightAI transforms raw SLA and operational data into:

Clear performance insights Root cause analysis Actionable improvement recommendations

Instead of manually analyzing reports, users can simply input their data and get instant, decision-ready insights.

I built InsightAI using MeDo’s no-code AI capabilities by:

Structuring prompts to simulate a business analyst’s thinking Designing input fields for key metrics like SLA, AHT, and volume Generating AI-driven outputs for: Performance summaries Root cause identification Suggested actions

The goal was to create a system that doesn’t just show numbers, but interprets them in a meaningful way.

Challenges I faced Translating business thinking into AI prompts Ensuring outputs are practical, not generic Keeping the interface simple while maintaining value Balancing between automation and meaningful insights

One key challenge was making the AI responses feel like real business recommendations, not just text generation.

Accomplishments that we're proud of Successfully built a functional AI-powered application without traditional coding, using natural language and structured prompts Transformed complex SLA and operational metrics into clear, actionable business insights Designed the system to simulate real-world business analyst thinking, including root cause identification and improvement recommendations Created a practical solution that addresses a genuine industry problem rather than a theoretical use case Maintained a balance between simplicity and value, ensuring the tool is easy to use while still delivering meaningful outputs Demonstrated how AI can enhance productivity by reducing manual analysis time and enabling faster decision-making

How to turn domain knowledge into AI-driven applications The importance of clear prompt structuring How no-code tools can accelerate product development The power of AI in decision support systems

This project showed me that AI can go beyond automation and become a true decision-making assistant InsightAI demonstrates how AI can:

Reduce manual analysis time Improve decision-making speed Empower teams with instant insights

It has potential use cases across:

Operations teams Business analysts Customer support management

Built With

• aht
• ai/ml
• and-deploy-the-application-natural-language-prompt-engineering-?-structured-prompts-to-simulate-business-analyst-reasoning-and-generate-insights-ai/ml-capabilities-(via-medo)-?-leveraged-built-in-ai-models-for-data-interpretation
• and-recommendations-web-based-deployment-?-deployed-as-a-publicly-accessible-application-using-medo?s-one-click-hosting-basic-data-modeling-concepts-?-applied-sla
• build
• data
• insight-generation
• medo
• natural-language-processing
• web-based