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LLM

InsightGenie: Natural Language Query Engine for Sales & Ops Dashboards

InsightGenie is an NLQ-powered assistant designed to help business teams quickly access and interpret sales, operations, and performance data without writing SQL or using complex BI tools. By translating natural language queries into actionable insights from internal dashboards, InsightGenie empowers non-technical users to make data-driven decisions faster.

LLM
Location

US

Industry

HEALTH & FITNESS

Team Size

4 people

Duration

1 month

Challenges

01.

Challenges
  • Enabling natural language access to complex sales and operations data without requiring SQL or BI tool knowledge.

  • Supporting real-time querying across multiple dashboards and data sources including CRM, ERP, and spreadsheets.

  • Maintaining data access control and role-based permissions to ensure secure querying and visibility.

  • Generating visual responses like charts and summaries instantly based on natural language input.

  • Integrating with communication tools like Slack and Teams for seamless query flow in daily workflows.

  • Allowing multilingual queries to support global sales and operations teams.

  • Reducing dependency on data teams by auto-interpreting user intent and surfacing relevant KPIs.

  • Providing audit trails of user queries to support compliance, review, and usage optimization.

02.

Solution
  • Enabled natural language access to complex sales and operations data without requiring SQL or BI tool knowledge.

  • Supported real-time querying across multiple dashboards and data sources including CRM, ERP, and spreadsheets.

  • Maintained data access control and role-based permissions to ensure secure querying and visibility.

  • Generated visual responses like charts and summaries instantly based on natural language input.

  • Integrated with communication tools like Slack and Teams for seamless query flow in daily workflows.

  • Allowed multilingual queries to support global sales and operations teams.

  • Reduced dependency on data teams by auto-interpreting user intent and surfacing relevant KPIs.

  • Provided audit trails of user queries to support compliance, review, and usage optimization.

Solution

OUR INPUT

Prompt Engineering & Query Structuring

Prompt Engineering & Query Structuring

Hybrid development

Hybrid development

Sales/Operations Data Annotation

Sales/Operations Data Annotation

Fine-tuning on BI Conversations

Fine-tuning on BI Conversations

Real-Time Data Source Integration

Real-Time Data Source Integration

Multi-Step Query Management

Multi-Step Query Management

Localization of Metric Terminology

Localization of Metric Terminology

Escalation Rules for Unanswerable Queries

Escalation Rules for Unanswerable Queries

RESULT

We’re proud of making InsightGenie a key driver of data clarity and accessibility for our clients. Its natural language capability ensures agile decision-making and consistent operational growth across sales and business units.

Lasya AI TechOur Features
App Functionality
Natural Language Query UI/UX for Sales & Ops
Natural Language Query UI/UX for Sales & Ops
Prompt engineering tailored to dashboard KPIs
Prompt engineering tailored to dashboard KPIs
Domain-specific data tagging and field adaptation
Domain-specific data tagging and field adaptation
Fine-tuning models on company-specific sales conversations
Fine-tuning models on company-specific sales conversations
Retrieval-augmented analytics generation
Retrieval-augmented analytics generation
Multi-turn query context awareness
Multi-turn query context awareness
Multilingual dashboard prompt support
Multilingual dashboard prompt support
Safety nets with fallback intents and escalation workflows
Safety nets with fallback intents and escalation workflows
Real-time learning loop with drift detection for metrics
Real-time learning loop with drift detection for metrics
Lasya AI Tech
Lasya AI TechWhat we offers

HOW WE DID IT

Custom LLM Training for Sales Terminology
Custom LLM Training for Sales Terminology

Fine-tuned the base model using annotated sales reports, CRM records, and customer queries to improve response accuracy for operational and sales use cases.

Intent Mapping & Query Pattern Design
Intent Mapping & Query Pattern Design

Developed structured intent flows to distinguish between lead generation, revenue trends, product metrics, and support-related queries.

Enterprise-Specific Data Annotation
Enterprise-Specific Data Annotation

Labeled thousands of dashboard-related queries and documents to help the model understand domain-specific KPIs, acronyms, and analytics language.

Secure Knowledge Retrieval Integration
Secure Knowledge Retrieval Integration

Connected InsightGenie with data warehouses and dashboards to enable compliant, real-time referencing of business intelligence data.

Context-Aware Conversation Management
Context-Aware Conversation Management

Enabled memory across multi-turn queries to handle follow-ups, filter metrics by time, region, or team, and drill down as needed.

Multilingual Compliance Support
Multilingual Compliance Support

Delivered insights in multiple languages, ensuring accuracy and alignment with global operations through automated back-translation checks.

Lasya AI Tech

Technologies we Used

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React
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Python
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OpenAI API

Creation Process

  • Stakeholder Interviews & Use Case Prioritization

    • Conducted discovery sessions with HR, legal, and internal support teams to identify high-impact queries and recurring employee pain points.
    • Collected HR documents, legal policies, SOPs, and region-specific compliance material; organized, annotated, and structured them for ingestion.
    • Developed an intent framework aligned with HR policies, designed dialogue flows with support for multi-turn conversations and escalation paths.
    • Implemented RAG pipelines to connect LLM to real-time policy data, ensured access control, and enabled version tracking for source content.
    • Collaborated with legal teams for validation, embedded safeguards for risky edge cases, and logged interactions for auditability.
    • Ran scenario-based testing with HR users, collected feedback on clarity and tone, and refined prompts, logic, and model behavior.
    Stakeholder Interviews & Use Case Prioritization
  • Data Corpus Curation & Structuring

    • Collected and cleaned internal sales reports, funnel metrics, CRM notes, and forecast templates to build a unified data corpus.
    • Standardized datasets using tagging for product lines, regions, timeframes, and deal stages to ensure precise grounding during query responses.
    Data Corpus Curation & Structuring
  • Intent Framework & Dialogue Flow Design

    • Mapped natural language queries to intents such as lead status, quota attainment, sales velocity, and campaign performance.
    • Designed conversation flows that support drill-down follow-ups, nested queries, and escalation for unsupported queries.
    Intent Framework & Dialogue Flow Design
  • Secure Retrieval-Augmented Generation Setup

    • Integrated InsightGenie with live dashboard APIs and BI platforms using secure and authenticated connectors.
    • Enabled retrieval-augmented generation with context-aware responses, real-time access controls, and version tracking for audit reliability.
    Secure Retrieval-Augmented Generation Setup
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