Establish the core containerized infrastructure using Docker for packaging all platform components and Kubernetes for orchestration. This provides the foundation for flexible deployment across cloud, on-premise, and hybrid environments.

Design and validate the architecture to support three deployment models (Cloud SaaS, On-Premise, and Hybrid), ensuring consistent functionality across all environments while meeting diverse customer security and compliance requirements.

Deploy Hyperledger Fabric private blockchain network to create the immutable ledger foundation. This blockchain will record all transactions, approvals, and workflow events, providing tamper-proof attestation and complete audit trails.

Implement comprehensive authentication and authorization system including direct login, SSO/federated identity, 2FA, and role-based access control (RBAC) with three user roles: Author, Approver, and Consumer.

Build secure email/password authentication with password complexity requirements, account lockout after failed attempts, and secure session management.

Integrate with enterprise identity providers (Azure AD, Google Workspace) using OAuth/OIDC and SAML 2.0 protocols, enabling seamless single sign-on for enterprise customers.

Add two-factor authentication using authenticator apps with OTP codes, configurable at tenant or user level for enhanced security.

Implement role-based access control with Author (create/edit), Approver (review/approve), and Consumer (read-only) roles, forming the foundation of the permission system.

Set up customer-configurable classification levels (Public, Internal, Sensitive, Confidential, Secret, Top Secret) with clearance-based access control to protect sensitive information.

Deploy primary databases: PostgreSQL for relational data, MongoDB for knowledge blocks, Redis for caching, and Elasticsearch for search indexing.

Build the Attestation Engine that connects all platform services to the blockchain, handling transaction creation, hash generation, and verification services.

Set up automated continuous integration and deployment pipelines using GitLab/Jenkins and ArgoCD for automated testing, building, and deployment to all environments.

Deploy observability stack with Prometheus for metrics, Grafana for visualization, and ELK (Elasticsearch, Logstash, Kibana) for centralized logging and monitoring.

Build the knowledge block creation interface with rich text editor, metadata management, ownership assignment, and mandatory classification selection with AI-powered suggestions.

Record every knowledge block creation on blockchain with timestamp, creator identity, content hash, and metadata, establishing immutable proof of origin.

Implement workflow engine for content submission, routing to approvers, approval/rejection actions, and notification system - the core accountability loop.

Commit all workflow events to blockchain: submissions, approvals, rejections, modifications, and status changes with full audit trail and verification capability.

Provide user-facing verification features: attestation badges, verification details view, one-click integrity verification, and blockchain transaction viewing.

Deploy Elasticsearch-powered search with automatic filtering based on user clearance levels, ensuring users only find content they're authorized to access.

Enforce access control throughout the platform: search results filtered by clearance, content viewing restricted, and navigation dynamically adjusted based on user permissions.

Create interface for viewing blockchain attestation details: transaction hash, timestamp, content fingerprint, approval chain, and cryptographic verification status.

Build Discovery Engine to scan customer repositories (SharePoint, file systems, network drives), extract documents, and parse them into article-format knowledge blocks with AI assistance.

Enable ongoing discovery within Veracity OS: automated indexing, duplicate detection, intelligent alerts for conflicting content, and stale content identification.

Integrate Large Language Models for intelligent content analysis, similarity detection, metadata suggestions, content assistance during creation, and natural language search capabilities.

Upgrade search with natural language processing, semantic understanding, intelligent ranking, and AI-powered content recommendations based on user role and context.

Build system for capturing and managing article context: organizational tags, usage notes, purpose descriptions, and related article links to guide proper content reuse.

Implement customer-configurable tag taxonomies, context notes, purpose of use fields, and AI-assisted context suggestions to enable organizational navigation and filtering.

Create comprehensive reporting system with executive dashboards, content health reports, workflow metrics, usage analytics, audit trails, and organizational insights.

Build analytics backend for tracking platform usage, content performance, workflow efficiency, search patterns, and generating actionable business intelligence.

Develop the Document Composer interface for assembling documents from pre-approved articles with bridging content, enabling rapid document creation from trusted knowledge blocks.

Implement real-time visual feedback showing percentage of pre-approved vs. bridging content, with color-coded highlighting distinguishing trusted blocks from new content.

Build intelligent approval routing for composed documents based on classification level and bridging content, including self-approval for pure article assemblies.

Optimize platform performance: database query tuning, caching strategies, search indexing improvements, and load testing to ensure sub-2-second response times.

Conduct comprehensive UAT with pilot users, gathering feedback on usability, workflows, and feature completeness to validate MVP readiness.

Add advanced Document Composer capabilities: detailed composition breakdown, article grouping views, and enhanced navigation for reviewers and approvers.

Implement detailed composition sidebar with article grouping by department, owner, or classification, plus jump-to navigation between pre-approved and bridging sections.

Generate cryptographic hash of complete assembled documents and commit to blockchain with full article reference list, approval chain, and verification capability.

Track which articles are used in which documents, enabling usage analytics, impact analysis, and "used in" queries for understanding article dependencies.

Conduct security assessment, penetration testing, vulnerability scanning, and implement fixes to ensure production-ready security posture.

Finalize all platform documentation: user guides, admin manuals, API documentation, deployment guides, and troubleshooting resources.

Create comprehensive training materials: video tutorials, interactive walkthroughs, quick-start guides, and role-based training paths for Authors, Approvers, and Consumers.

Launch beta program with select pilot customers, monitoring performance, gathering feedback, and making final adjustments before general availability release.