Enabling Conversational BI for Decision Support

Beyond Dashboards: Dialogue-Driven Analytics Dashboards are effective for monitoring known metrics, but they often fall short when business questions evolve or require exploration across multiple dimensions. Rysun designs and builds Conversational BI experiences that allow decision-makers to explore data through dialogue rather than predefined reports.

Business users interact with enterprise data using natural language, receiving AI-generated insights, visual summaries, and structured results tailored to day-to-day operational and strategic decision-making. Instead of navigating static interfaces, they perform drill-downs and focused comparisons through guided, multi-turn conversations.

Reasoning Across Domains Conversational BI is a natural fit for complex, exploratory questions that span multiple data dimensions:

• Operational Inefficiency: One location shows unusually high ingredient consumption – is this due to wastage, quality issues, or process deviations?
• Root Cause Analysis: Equipment downtime increased this month – which shifts, sites, or external factors correlate with the spike?
• Customer Sentiment: Customer complaints rose without a clear revenue impact – what operational signals align with the timing?
• Cost vs. Output: Costs increased faster than output – where are inefficiencies emerging across regions or teams?

Implementation & Architecture Deployed entirely within the customer’s AWS account, leveraging native services to ensure scalability, security, and governed Generative BI capabilities:

• Application Layer – A custom web application built using FastAPI (Python) to manage user interactions, session context, and conversational workflows
• AI & Reasoning Layer – Large Language Models with orchestration to interpret user intent, generate queries, and produce explainable insights
• Data & Governance – Amazon RDS (PostgreSQL) with role-based views to enforce governed access before queries execute
• Visualization Layer – Dynamically generated charts, tables, and drill-down visualizations embedded directly in the experience
• Context & Memory – Vector stores to support semantic understanding, examples, and conversational continuity
• AWS Services – Deployed using AWS compute services (Lambda, ECS, or EC2 as appropriate), with AWS IAM, AWS KMS, and Amazon CloudWatch for security, encryption, and observability

What Rysun Delivers

• Conversational BI solutions tailored to enterprise data, role-based access, and decision workflows.
• Decision-centric analytics design, translating ambiguous business questions into structured, explainable conversations
• Conversational analytics accelerators, including frameworks for natural language querying, role-based access control, and iterative exploration
• Cross-domain insight enablement, supporting reasoning across operational, quality, cost, and performance data
• Production-grade delivery, with strong emphasis on governance, auditability, scalability, and adoption
• Pre-query data governance, ensuring unauthorized data is never accessed rather than filtered after results