DocWise AI

Built for governance, tuned for transparency — AI that earns stakeholder trust. Auditable decisions, clear traceability, and enterprise-grade integrity.

DocuWise AI is a secure, intelligent, and explainable artificial intelligence platform designed to transform how organizations process information, make decisions, and engage with data. Built with a modular architecture and aligned with public-sector AI governance standards, DocuWise AI integrates Generative AI (GenAI), Predictive AI, and Natural Language Processing (NLP) to deliver personalized, context-aware, and auditable outcomes across a wide range of use cases.

Whether you’re a government agency, enterprise leader, or civic innovator, DocuWise AI empowers your team to automate complex workflows, enhance transparency, and deliver measurable value—securely and responsibly.

Core Capabilities

1. Natural Language Understanding

Enables users to interact with data and systems using everyday language. The platform interprets queries, understands context, and returns precise, relevant answers.
  • Supports free-form questions across structured and unstructured data
  • Context-aware interpretation using vector embeddings
  • Role-based personalization of responses

2. Summarization & Synthesis

Automatically distills large volumes of content—such as legislative bills, policy documents, or technical reports—into concise, human-readable summaries.
  • Multi-document summarization across timeframes
  • Tailored summaries based on user role or intent
  • Supports audit trails and source traceability

3. Predictive Intelligence

Leverages machine learning and statistical modeling to forecast outcomes, assess risks, and support decision-making.
  • Credit risk scoring, fraud detection, and permit evaluation
  • Threshold-based alerting and escalation logic
  • Transparent decision logic with human-in-the-loop options

4. Generative Content Creation

Uses advanced GenAI models (e.g., GPT-4) to generate human-like responses, draft documents, and create audit-ready narratives.
  • Drafts letters, reports, and policy responses
  • Generates audit trails and explanations in natural language
  • Supports multilingual and tone-adaptive outputs

5. Semantic Search & Discovery

Goes beyond keyword matching to understand the intent and context of user queries, enabling deeper exploration of data.
  • Embedding-based search using vector databases
  • Recognizes synonyms, related terms, and domain-specific language
  • Suggests follow-up questions to refine discovery

Use Case Scenarios

Customer Support Automation

Classifies and routes user queries, generates personalized responses across channels.

AI Capabilities Used : Predictive AI, GenAI

Invoice and Payment Processing

Validates payment data, routes exceptions, and generates audit trails.

AI Capabilities Used : Predictive AI, GenAI

Permit Application Decisioning

Synthesizes application documents, applies decision logic, and drafts response letters.

AI Capabilities Used : Predictive AI, GenAI

Cybersecurity Monitoring

Analyzes system logs for breach indicators and generates incident reports.

AI Capabilities Used : Predictive AI, GenAI

Legislative Bill Summarization

Tracks bill progression, summarizes content, and answers citizen queries.

AI Capabilities Used : Predictive AI, GenAI

Document Drafting

Ingests document context and generates sections in a prompted style.

AI Capabilities Used : Predictive AI, GenAI

Virginia! What’s the Law?

01

An AI Companion for Legislative Intelligence

This specialized module within DocuWise AI is tailored for legislative professionals, lobbyists, and engaged citizens. It provides real-time, AI-powered insights into the legislative landscape of Virginia.

Key Features:

  • Summarize bills across multiple years and topics
  • Natural language search on legislative content
  • Visualize bill progression and policy trends
  • Traceable sources for every AI-generated response
  • Secure integration of public and private legislative data

Platform Architecture

DocuWise AI is built on a secure, modular, and explainable architecture that supports scalability, transparency, and compliance.

02

AI Orchestration Layer

  • Agent-to-agent and agent-to-human collaboration
  • Task decomposition and shared memory for continuity
  • Human-in-the-loop workflows for sensitive decisions

03

Data Infrastructure

  • Vector Database for semantic search and embeddings
  • Structured and unstructured data ingestion pipelines
  • Embedding services powered by OpenAI APIs

04

Security & Compliance

  • TLS/SSL encryption for all data in transit and at rest
  • Azure Managed Identities and OAuth2 for secure access
  • Role-Based Access Control (RBAC) and Azure Active Directory
  • Rate limiting, quota enforcement, and content filtering
  • Aligned with Commonwealth of Virginia Sec 530 Security Requirements

05

Q&A Workflow Engine

A robust pipeline that transforms raw data into intelligent, explainable answers:

  • Data Ingestion: Aggregates data from APIs, files, and ETL pipelines into a unified corpus.
  • Embedding: Converts raw text into vector embeddings using OpenAI’s Embedding API.
  • Document Retrieval: Retrieves top-k relevant documents from the vector database.
  • LLM Inference: Uses OpenAI’s Completions API to generate contextual answers.
  • User Interface: Displays answers, collects feedback, and maintains session history.

06

Executive Order 30 (2024) Compliance

AI Policy Standards

  • Ethical use guidelines and disclaimers/li>
  • Mandatory approval workflows for AI deployment
  • Data privacy and citizen protection measures

AI Architecture Standards

  • Design, performance, and availability benchmarks
  • Interoperability and integration standards
  • Security and access control protocols

07

AI Services Portfolio

Natural Language Processing

Text classification, summarization, Q&A, chatbots.

Predictive AI

Forecasting, risk scoring, decision support.

Computer Vision

Image segmentation, object detection, GAN-based image generation.

AI + RPA Automation

Intelligent process automation and orchestration.

Smart Assistants

Context-aware virtual agents for enterprise and citizen services.

Sensor Data Analytics

Real-time analysis of IoT and sensor data.

Recommendation Engines

Personalized content and product recommendations

Security Highlights

  • TLS/SSL enforced across all communications
  • Azure Active Directory (AAD) with RBAC
  • Virtual Networks, NSGs, and Private Links
  • Azure Content Moderator and DLP policies
  • Logging, monitoring, and quota enforcement
  • OAuth2-secured APIs and managed identities
  • Data classification and sensitivity labeling

Business Impact

  • Accelerate decision-making and reduce manual effort
  • Improve accuracy, transparency, and auditability
  • Empower users with intuitive, role-based AI tools
  • Ensure compliance with public-sector AI governance
  • Deliver secure, scalable, and explainable AI experiences

Turning raw inputs into informed actions that drive measurable impact.

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