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LLM

SmartBrief: LLM-Based Document Summarizer for Executive Reporting

SmartBrief is a generative AI assistant built to help CXOs and business leaders quickly absorb critical updates across business units. It automatically summarizes long internal reports, dashboards, and slide decks into executive-ready briefs. SmartBrief ensures updates are concise, prioritized, and tailored to leadership needs, driving faster and more informed decision-making.

LLM
Location

US

Industry

HEALTH & FITNESS

Team Size

4 people

Duration

1 month

Challenges

01.

Challenges
  • Automatically summarizes lengthy internal reports, slide decks, and dashboards into concise executive briefs.

  • Prioritizes key insights and action items relevant to C-level leadership needs and decision-making.

  • Supports ingestion of various file formats such as PDF, PPT, XLS, and DOC for broad compatibility.

  • Uses fine-tuned LLMs trained on internal communication tone and business lexicon for accurate summarization.

  • Delivers output in structured formats like bullet points, highlights, or executive summaries.

  • Allows scheduling of periodic brief generation for regular reporting cycles (weekly, monthly, etc.).

  • Integrates with internal tools such as SharePoint, Google Drive, and email to fetch and summarize documents.

  • Maintains versioning and access logs to ensure compliance, traceability, and governance.

02.

Solution
  • Summarized lengthy internal documents, reports, and presentations into concise executive briefs.

  • Tailored summaries to highlight key takeaways relevant to C-level leadership decision-making.

  • Enabled ingestion of multiple formats such as PDF, PPT, XLS, and DOC for maximum compatibility.

  • Used fine-tuned LLMs trained on internal communication tone and executive reporting standards.

  • Delivered summaries in structured formats like bullet points, timelines, or executive memos.

  • Integrated with document repositories like Google Drive, SharePoint, and internal wikis.

  • Scheduled automated summary delivery for weekly and monthly executive review cycles.

  • Included version control and access logs for governance, audit, and compliance tracking.

Solution

OUR INPUT

Prompt Engineering & Summary Structuring

Prompt Engineering & Summary Structuring

Cross-Format Document Parsing

Cross-Format Document Parsing

Custom Summary Style Tuning

Custom Summary Style Tuning

Executive Persona-Based Output Control

Executive Persona-Based Output Control

Named Entity & KPI Highlighting

Named Entity & KPI Highlighting

Knowledge Base Integration

Knowledge Base Integration

Scheduled Summary Generation

Scheduled Summary Generation

Feedback Loop for Summary Accuracy

Feedback Loop for Summary Accuracy

RESULT

We’re proud of making SmartBrief a trusted solution for leadership reporting and strategic visibility. Its LLM-powered summaries accelerate executive decision-making and promote alignment across departments and initiatives.

Lasya AI TechOur Features
App Functionality
Executive-Focused Summarization
Executive-Focused Summarization
Domain-Tuned LLM Models
Domain-Tuned LLM Models
Multi-Document Synthesis
Multi-Document Synthesis
Fine-tuning models on company-specific sales conversations
Fine-tuning models on company-specific sales conversations
Key Insight Extraction
Key Insight Extraction
Continuous Learning Loop
Continuous Learning Loop
Integration-Ready APIs
Integration-Ready APIs
Multilingual Summary Generation
Multilingual Summary Generation
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

Domain-Specific LLM Tuning for Executive Language
Domain-Specific LLM Tuning for Executive Language

Adapted foundation models using annotated board decks, MBRs, and strategy docs to improve summarization for leadership communication.

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.

Query & Insight Mapping Framework
Query & Insight Mapping Framework

Designed structured prompt patterns to capture KPIs, risk flags, financial performance, and strategic recommendations from raw text.

Document Annotation at Enterprise Scale
Document Annotation at Enterprise Scale

Labeled thousands of business reports, executive memos, and investor updates to train the model on format-specific cues and summary-worthy content.

Secure Knowledge Retrieval Integration
Secure Knowledge Retrieval Integration

Linked with internal document systems (e.g. Confluence, SharePoint, GDrive) to enable secure, real-time summary generation without data leaks.

Context-Aware Summary Memory
Context-Aware Summary Memory

Enabled continuity across multi-document threads—such as sequential earnings reports or multi-author decks—for coherent executive insights.

Lasya AI Tech

Technologies we Used

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OpenAI GPT
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Python
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React.js
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PostgreSQL
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Docker

Creation Process

  • Stakeholder Interviews & Use Case Prioritization

    • Conducted discovery sessions with executive stakeholders, compliance leads, and reporting teams to identify key use cases like board updates, MBRs, and financial disclosures.
    • Collected and reviewed strategic plans, investor communications, audit memos, and policy documents; annotated and structured the corpus for summarization training.
    • Built a summarization intent framework for executive-ready outputs, including KPIs, strategic insights, and action items; designed fallback flows for ambiguous or incomplete inputs.
    Stakeholder Interviews & Use Case Prioritization
  • Data Corpus Curation & Structuring

    • Ingested and categorized executive-facing documents like earnings reports, policy briefings, and market analysis decks from internal repositories.
    • Applied consistent metadata tagging (e.g., time periods, departments, disclosure level) to ensure clean structuring and retrieval readiness.
    • Normalized formatting and document types for consistency in parsing and LLM pre-processing workflows.
    Data Corpus Curation & Structuring
  • Intent Framework & Dialogue Flow Design

    • Defined core summary types: financial KPIs, risk flags, leadership decisions, and forward-looking statements.
    • Mapped intents to content signals (e.g., metric tables, bullet summaries, executive quotes) using template-based patterning.
    • Developed logic for drill-downs, nested summaries, and context-aware continuation prompts.
    Intent Framework & Dialogue Flow Design
  • Secure Retrieval-Augmented Generation Setup

    • Connected to enterprise repositories (e.g., Confluence, SharePoint, GDrive) via secure connectors with granular access control.
    • Implemented retrieval-augmented generation pipelines to inject live source data into summary prompts.
    • Enabled version tracking and audit logging for each document referenced in the generated summaries.
    Secure Retrieval-Augmented Generation Setup
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