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LLM

Internal LLM Chatbot for Legal & HR Compliance

InfoFlow is an internal LLM-based chatbot built to help employees quickly and securely access legal, HR, and compliance information. By understanding natural language queries and retrieving verified internal documentation, it reduces support tickets and ensures policy clarity across departments. Available 24/7 across Slack, Teams, and web, InfoFlow maintains audit trails, supports multilingual use, and ensures consistent knowledge sharing at scale.

LLM
Industry

FINTECH

Team Size

80+ people

Duration

2 years

Location

UK

Challenges

01.

Challenges
  • Employees struggle to locate up-to-date HR or legal policies across multiple tools and formats

  • Repetitive queries to HR/legal teams drain time and delay response to critical requests

  • High risk of inconsistent or outdated information being circulated internally

  • Limited visibility into what information employees are accessing or misunderstanding

  • Global teams require multilingual access to region-specific compliance documentation

02.

Solution
  • Deploy a secure, LLM-powered chatbot trained on company-specific HR/legal documentation

  • Integrate with platforms like Slack, Teams, and SharePoint to ensure accessibility where teams work

  • Use retrieval-augmented generation (RAG) to provide accurate answers grounded in the latest internal documents

  • Enable audit logging for all interactions to ensure transparency and compliance readiness

  • Fine-tune on real policy queries to continuously improve response accuracy and reduce dependency on live HR/legal staff

Solution

OUR INPUT

Prompt Engineering & Intent Modeling

Prompt Engineering & Intent Modeling

Data Annotation & Domain Adaptation

Data Annotation & Domain Adaptation

Fine-Tuning the LLM on Support Conversations

Fine-Tuning the LLM on Support Conversations

Retrieval-Augmented Generation Integration

Retrieval-Augmented Generation Integration

Multi-Turn Context Management

Multi-Turn Context Management

Multilingual Prompt Localization

Multilingual Prompt Localization

Safety/Fallback Logic & Escalation Triggers

Safety/Fallback Logic & Escalation Triggers

Active Learning Loop & Drift Monitoring

Active Learning Loop & Drift Monitoring

Business Analysis

Business Analysis

Project Management

Project Management

RESULT

We're proud of being instrumental to our clients success and sure that stable and flexible solution will assure stable growth in the future.

Lasya AI TechOur Features
App Functionality
Conversational UI/UX design
Conversational UI/UX design
Prompt engineering & intent modeling
Prompt engineering & intent modeling
Data annotation & domain adaptation
Data annotation & domain adaptation
Fine-tuning the LLM on support conversations
Fine-tuning the LLM on support conversations
Retrieval-augmented generation integration
Retrieval-augmented generation integration
Multi-turn context management
Multi-turn context management
Multilingual prompt localization
Multilingual prompt localization
Safety/fallback logic & escalation triggers
Safety/fallback logic & escalation triggers
Active learning loop & drift monitoring
Active learning loop & drift monitoring
Lasya AI Tech
Lasya AI TechWhat we offers

HOW WE DID IT

Custom LLM Training for Policy Language
Custom LLM Training for Policy Language

Fine-tuned the base model using annotated HR manuals, legal policy docs, and past employee queries to improve response precision for internal use cases.

Intent Mapping & Question Pattern Design
Intent Mapping & Question Pattern Design

Developed a structured intent framework to help the chatbot distinguish between leave policies, code of conduct, compliance procedures, and more.

Enterprise-Specific Data Annotation
Enterprise-Specific Data Annotation

Labeled thousands of internal queries and documents across departments to help the model learn enterprise language, abbreviations, and tone.

Secure Knowledge Retrieval Integration
Secure Knowledge Retrieval Integration

Connected the LLM with a document retrieval layer that references real-time HR/legal documentation, ensuring every response is grounded and compliant.

Context-Aware Conversation Management
Context-Aware Conversation Management

Enabled multi-turn memory to understand follow-ups, maintain context over policy chains, and handle nested questions from employees.

Multilingual Compliance Support
Multilingual Compliance Support

Localized prompts and outputs in six languages with regulatory back-translation checks to maintain clarity, accuracy, and brand alignment globally.

Lasya AI Tech

Technologies we used

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React
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Python
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OpenAI API
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AWS

Creation Process

  • Stakeholder Interviews & Use Case Prioritization

    • Conducted discovery sessions with HR, legal, and internal support teams.
    • Identified high-impact queries and recurring employee pain points.
    • Prioritized use cases like leave policy clarification, compliance training, and escalation scenarios.
    Stakeholder Interviews & Use Case Prioritization
  • Policy Corpus Curation & Data Structuring

    • Collected HR documents, legal policies, SOPs, and region-specific compliance materials.
    • Cleaned, annotated, and structured data for ingestion.
    • Applied vector embeddings and metadata tagging for precise document retrieval.
    Policy Corpus Curation & Data Structuring
  • Intent Framework & Dialogue Flow Design

    • Mapped top employee intents (e.g., PTO, grievance handling, workplace misconduct).
    • Designed dialogue trees with support for multi-turn conversations.
    • Created fallback and escalation paths for unsupported or sensitive queries.
    Intent Framework & Dialogue Flow Design
  • Secure Retrieval-Augmented Generation Setup

    • Implemented RAG pipelines to connect LLM to real-time policy data.
    • Ensured access control by role and department for data compliance.
    • Enabled version tracking to ensure all content served is current and auditable.
    Secure Retrieval-Augmented Generation Setup
  • Compliance Audit & Risk Review Loops

    • Collaborated with legal teams to validate model responses.
    • Embedded safeguards and red-team testing for policy edge cases.
    • Logged interactions for traceability and governance reporting.
    Compliance Audit & Risk Review Loops
  • Internal Testing, Feedback & Iteration

    • Ran scenario-based testing with HR users and select employees.
    • Gathered feedback on tone, clarity, and overall UX.
    • Iterated on prompt tuning, fallback logic, and model refinement.
    Internal Testing, Feedback & Iteration
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