How It Works - Infiwrite Enterprise Intelligence Platform
Persona-Aware Enterprise Intelligence

From Contract to
Enterprise Intelligence

Deploy custom-trained AI agents on your infrastructure in 4-6 weeks. Not generic chatbots—persona-aware intelligence that understands your business context and delivers role-specific insights to every stakeholder.

Live in Production: 4-6 Weeks
Three-Phase Deployment

Predictable Path to Production

Unlike generic AI that treats every user the same, Infiwrite deploys intelligence agents custom-trained on your business. Support gets troubleshooting protocols. Engineering gets architectural depth. Sales gets competitive positioning. All from the same platform, all running on your infrastructure.

1
Weeks 1-2

Deploy & Train

We deploy Infiwrite as containerized software on your AWS, Azure, or GCP environment. Your team maintains complete infrastructure control while we configure integrations and train models on your existing documentation, codebase, and product knowledge.

⚙️
Infrastructure Setup Kubernetes deployment on your cloud provider with role-based access controls, audit logging, and SSO integration
📚
Knowledge Import Automated ingestion of existing Confluence wikis, GitHub repositories, Jira tickets, and support documentation
🧠
Custom Model Training Fine-tuning on your terminology, product architecture, and domain-specific language—runs entirely on your infrastructure
👥
Persona Configuration Define roles (Engineering, Support, Sales, Product) with specific knowledge access patterns and response formats
What Gets Deployed
Custom-Trained LLMs Language models optimized for your documentation style, technical vocabulary, and business context
Knowledge Graph Database Vector embeddings and semantic indexing of all connected data sources
Integration Layer Pre-built connectors for Jira, Confluence, Slack, GitHub, GitLab, and major documentation platforms
Security Infrastructure Zero-trust architecture with encryption at rest and in transit, SOC2 compliant out of the box
2
Weeks 3-4

Activate Intelligence

Persona-aware AI agents go live, delivering role-specific insights to every stakeholder. Documentation automation workflows activate, enabling technical writers to request AI-generated drafts from completed Jira tickets. All processing happens on your infrastructure with expert oversight where it matters.

🎯
Persona-Aware Q&A Agents Same question, different answers—Support sees troubleshooting, Engineering sees architecture, Sales sees positioning
✍️
Documentation Automation Technical writers request doc generation from Jira tickets, AI creates comprehensive drafts across all personas and formats
✅
Expert Review Workflow Writers validate technical accuracy and publish—80% faster than writing from scratch while maintaining quality standards
🚀
Multi-Channel Publishing Approved content automatically syncs to Confluence, customer-facing portals, API reference sites, and internal wikis
Intelligence in Action
Q&A Agent Usage Teams query the intelligence platform—each stakeholder receives insights tailored to their role and responsibilities
Documentation Request Writer identifies completed ticket needing documentation, requests AI generation
Multi-Persona Generation AI creates comprehensive docs for all roles: API specs, troubleshooting guides, feature briefs, user documentation
Expert Validation & Publishing Writer reviews for accuracy in 20-30 minutes, publishes across all configured channels
3
Ongoing

Continuous Intelligence

Usage analytics identify documentation gaps, unclear content, and missing coverage. The knowledge graph connects insights across repositories, tickets, and conversations. Periodic model retraining incorporates new product features, updated terminology, and evolved architecture—keeping intelligence current as your business grows.

🎯
Persona-Specific Delivery Intelligence agents automatically adapt responses based on user role—configured once, delivered continuously
🔍
Gap Detection Analytics Usage patterns reveal missing documentation, unclear explanations, and areas where stakeholders struggle to find answers
📊
Cross-System Intelligence Knowledge graph connects information across Jira, GitHub, Confluence, Slack, and support systems
🔄
Scheduled Model Updates Periodic retraining on new features, terminology, and architecture changes—keeping intelligence aligned with your evolving product
Growing Intelligence
Usage Tracking Monitors which questions are asked, which documents accessed, where searches fail—identifying effectiveness gaps
Feedback Collection Captures ratings, comments, and support ticket references to measure documentation quality
Knowledge Connection AI discovers relationships between features, architectural dependencies, and relevant precedents from past projects
Periodic Retraining Scheduled model updates incorporate new product knowledge, terminology, and business context
Platform Capabilities

Built for Enterprise Scale

Infiwrite integrates with your existing tools through pre-built connectors and APIs. No custom development required. No vendor lock-in. Complete visibility into system behavior.

🏢

Your Infrastructure, Your Control

Deploy on AWS, Azure, or GCP with full infrastructure ownership. All AI processing happens within your environment—your proprietary data never touches external AI services. SOC2, GDPR, HIPAA compliant out of the box.

🎯

Persona-Aware Intelligence

Same question, fundamentally different answers based on who's asking. Sales gets competitive positioning. Support gets troubleshooting steps. Engineering gets technical specifications. Role-based intelligence delivery configured once, delivered automatically.

✍️

Documentation Automation

Technical writers request doc generation from completed Jira tickets. AI analyzes context and generates comprehensive documentation across all stakeholder roles. Expert review in 20-30 minutes instead of 3-5 days of writing from scratch.

🔄

Analytics-Driven Insights

Usage tracking identifies documentation gaps, unclear content, and missing coverage before they become support escalations. Knowledge graph connects information across all your systems. Periodic model updates keep intelligence current.

Real Results, Measured Impact

Customers typically see these improvements within 60 days of production deployment

80%
Faster Documentation
From ticket closure to published docs: 3 weeks reduced to 3 days
60-70%
Cost Reduction
Technical writers focus on strategy and quality, not first drafts
4-6
Weeks to Production
From contract signature to live persona-aware intelligence agents

See Your Intelligence Platform in Action

Schedule a technical demo to see how Infiwrite works with your specific infrastructure, security requirements, and business context. Bring your toughest questions about deployment, compliance, and custom training.

Live in 4-6 Weeks
Custom-Trained on Your Data
Zero External Data Exposure
Schedule Technical Demo Learn More