You will get AI Document Q&A — Ask Questions Across Your PDFs, Contracts & Manuals
Project details
We build AI-powered Q&A systems that let your team ask plain-English questions across all your documents and get accurate, cited answers instantly. Works with PDFs, Word docs, spreadsheets, and web pages. Lives inside Google Drive, SharePoint, or Slack. Stop spending hours searching through PDFs, contracts, SOPs, and compliance documents. We build AI-powered document search and Q&A systems that let you or your team ask plain-English questions and get accurate answers — with citations showing exactly where the answer came from. Used by legal, compliance, HR, finance, and operations teams.
Basic includes:
• AI Q&A system for up to 10 documents
• Simple web interface
• Plain-English question & answer with citations
Standard includes:
• Everything in Basic
• Up to 100 documents / unlimited pages
• Google Drive or SharePoint integration
• User access controls
• Custom branding
Premium includes:
• Everything in Standard
• Unlimited documents
• Slack or Teams integration
• Audit log of all queries
• CRM or internal system integration
• 30-day support
Basic includes:
• AI Q&A system for up to 10 documents
• Simple web interface
• Plain-English question & answer with citations
Standard includes:
• Everything in Basic
• Up to 100 documents / unlimited pages
• Google Drive or SharePoint integration
• User access controls
• Custom branding
Premium includes:
• Everything in Standard
• Unlimited documents
• Slack or Teams integration
• Audit log of all queries
• CRM or internal system integration
• 30-day support
AI Development Type
Knowledge RepresentationWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$3,200
|
Advanced
$5,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 4 |
AI Model Integration | |||
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
About Munish
AI Automation Consultant | Fractional CTO | Enterprise AI Integration
Tustin, United States - 8:20 am local time
I specialize in deploying AI-powered workflow systems that integrate with various Web Platforms, Microsoft Dynamics 365, Salesforce, Business Central, HubSpot, APIs, databases, email, SMS, and operational platforms.
Experienced in:
• AI Agents & AI Workflow Automation
• CRM / ERP Integrations
• OpenAI & LLM-Based Solutions
• AI-Powered Customer Support & Sales Automation
• Process Automation & Operational AI
• API Architecture & iPaaS
• Enterprise Systems Modernization
• AI Transformation Strategy
Delivered enterprise transformation initiatives for organizations in financial services, manufacturing, healthcare, logistics, distribution, and technology sectors.
Core Skills
AI & Automation
• AI Workflow Automation
• AI Agents
• Operational AI Systems
• AI Copilots
• AI Customer Support Systems
• AI Lead Qualification
• AI Sales Automation
• Conversational AI
• AI Workflow Orchestration
• Prompt Engineering
Integration & Enterprise Systems
• Microsoft Dynamics 365
• Business Central
• Salesforce
• ERP/CRM Integration
• API Integrations
• REST APIs
• Webhooks
• Event-Driven Architecture
• iPaaS Strategy
• Power Automate
• Workflow Automation
Technology & Architecture
• Cloud Architecture
• Systems Architecture
• Enterprise Integrations
• Digital Transformation
• Solution Architecture
• IT Strategy
• Operational Automation
• Data Management
• Security & Governance
Steps for completing your project
After purchasing the project, send requirements so Munish can start the project.
Delivery time starts when Munish receives requirements from you.
Munish works on your project following the steps below.
Revisions may occur after the delivery date.
Document intake & review (Day 1)
We receive your documents, review file formats and quality, and confirm the scope. We flag any documents that may need formatting cleanup before indexing.
AI indexing & knowledge base build (Days 1–3)
We process and index all documents into the AI's retrieval system. Each document is chunked, embedded, and tested for accurate recall.