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Streamlining Technical White Paper Creation with AI
Xiber is an internal AI-powered platform that streamlines white paper creation for technical teams by combining structured editing, formatting, and trainable AI assistance into one unified workspace.
With Pendoah as its development partner, Xiber eliminated fragmented workflows and privacy concerns while training AI on internal knowledge, achieving:
document-first AI workspace
departments adopted system
privacy-compliant deployment
faster white paper creation
Market Context
The enterprise technical documentation market is growing at 8% annually, yet organizations struggle with fragmented workflows that scatter document creation across multiple disconnected tools, leading to inefficiency and quality concerns.
Technical teams typically toggle between ideation tools like ChatGPT, drafting platforms like Word or Google Docs, and separate PDF formatting tools. This fragmentation causes cognitive fatigue, context loss, inconsistent formatting, and privacy risks when uploading sensitive internal documents to public AI platforms.
This gap between AI assistance needs and secure, integrated workflows presented a clear opportunity: build an internal platform that combines editing, formatting, and AI trained on proprietary knowledge. Xiber entered development to meet that need, with Pendoah providing the full-stack technical architecture and AI integration.
The Challenge
Technical teams faced fragmented workflows, generic AI responses lacking company context, and security concerns with external AI platforms.
- Fragmented workflow across ChatGPT, Word/Docs, and PDF formatting tools
- Fragmented workflow across ChatGPT, Word/Docs, and PDF formatting tools
- No central repository for drafts, templates, or knowledge training
- Privacy concerns uploading sensitive company data to public AI platforms
The Vision
AI Chat Grounded in Your Documents
Train AI on internal documents for contextually accurate responses
Unified Editing Workspace
Train AI on internal documents for contextually accurate responses
Section-Aware AI Assistant
Contextual support for content, structure, and formatting per section.
Template Library & PDF Export
Reusable templates, saved drafts, and one-click branded PDF export.
Before & After
Before Xiber
- Fragmented workflow across ChatGPT, Word, and PDF tools
- Generic AI without internal company context
- Manual structuring with inconsistent formatting
- Privacy risks with external AI platforms
After Xiber
- Unified AI-powered workspace for entire document lifecycle
- AI trained on internal docs with company language and tone
- Drag-and-drop modular editor with template reusability
- Secure internal deployment with full data control
User Personas
Documentation Specialists
Need efficient tools for producing high-quality technical white papers.
Cybersecurity Analysts
Required secure platform for sensitive technical documentation needs.
Product Writers
Wanted AI trained on product-specific terminology and company voice.
Technical Teams
Needed collaborative workspace with reusable templates and structures.
Implementation Journey
01
Process & UX Research
Conducted 3 user interviews, observed cognitive fatigue, and mapped cross-tool workflows.
02
Platform Architecture & Editor
Built React/TypeScript frontend with Tiptap editor, drag-and-drop blocks, and modular design
03
AI Integration & Knowledge Training
Integrated Azure OpenAI with embeddings (ada-3-large), AI Search, and internal document training.
04
Template Dashboard & PDF Export
Created reusable template library, draft management, and one-click PDF export with jsPDF.
05
Deployment & Cross-Department Adoption
Deployed on Azure infrastructure, achieved adoption across 4+ departments with training.
Design Principles
Document-First AI Environment
Unified workspace tailored to internal documentation needs and workflows.
Context-Aware Intelligence
Section-level AI trained on company documents for accurate, relevant responses.
Privacy & Security First
Internal deployment ensures sensitive data never leaves company infrastructure.
Modular Flexibility
Drag-and-drop blocks enable custom document structures for diverse content types.
Reusability & Efficiency
Template library accelerates creation for recurring white paper types.
Features & Modules
Prompt-Based Starter
Begin with simple prompts to auto-generate structure or content.
Modular Editor
Drag-and-drop blocks, collapsible sections, and real-time AI suggestions.
Section-Aware AI Assistant
Content, structure, and formatting support contextual to each section.
Internal Knowledge Training
Upload internal docs to train AI with company language and tone.
Template & Draft Dashboard
Create from scratch or reuse saved structures and drafts efficiently.
PDF Export
One-click clean export for polished, branded white papers.
Competitive Landscape
Option
Limitations
Why Xiber Wins
Fragmented Tools
Context switching, cognitive fatigue, disconnected experience
Unified workspace for entire document lifecycle
Public AI Platforms
Generic responses, privacy risks, no company context
Internal AI trained on proprietary documents and tone
Traditional Editors
No AI assistance, manual formatting, no templates
AI-powered content generation with modular editor
Lessons & Future Roadmap
What Worked
Integrated document-first AI environment eliminated workflow fragmentation. Internal knowledge training provided context-aware assistance that generic AI couldn’t match.
Challenge
Balancing AI automation with user control required careful UX design and iterative feedback.
Improvement
Section-aware AI context combined with modular editor strengthened precision and flexibility.
Next Phase
- Collaborative real-time editing with multi-user support and version control
- Advanced AI features including citation management and reference validation
- Integration with corporate knowledge bases and document management systems
- Enhanced analytics tracking AI usage patterns and productivity improvements
Conclusion
With Pendoah as its development partner, Xiber transformed technical documentation workflows by delivering a unified AI-powered workspace that combines intelligent assistance with internal knowledge training, achieving measurable efficiency gains while maintaining security, privacy, and cross-department adoption.