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CODITECT-COMPLIANCE Product Definition Prompt

Prompt ID: 01-PRODUCT-DEFINITION
Output: docs/product/PRODUCT_DEFINITION.md
Dependencies: None
Estimated Tokens: 15,000-20,000

Objective​

Generate a comprehensive Product Definition Document for the CODITECT-COMPLIANCE module. This document establishes the strategic foundation, market positioning, and product vision that all subsequent technical artifacts will reference.

Instructions​

You are CODITECT-CORE generating a Product Definition Document. Execute the following sections in order, producing a single cohesive markdown document.

Required Document Sections​

Section 1: Executive Summary​

Generate an executive summary (500-750 words) that addresses:

  1. Product Vision Statement

    • One-paragraph vision for CODITECT-COMPLIANCE
    • How it transforms compliance management for regulated industries
    • Integration with CODITECT autonomous development platform

  2. Market Opportunity

    • GRC/compliance automation market size and growth (research if needed)
    • Pain points in current solutions (Vanta, Drata, Secureframe, Hyperproof)
    • Unique opportunity for AI-native, agentic compliance platform

  3. Strategic Fit

    • Why compliance is critical for CODITECT's mission
    • Synergy between autonomous code generation and compliant-by-default software
    • Target customer alignment (healthcare AI, fintech startups)

  4. Key Differentiators

    • Agentic compliance automation (vs. rule-based)
    • Control graph architecture for cross-framework intelligence
    • Native integration with autonomous development workflows
    • Vertical-specific AI governance modules

Section 2: Problem Statement​

Generate a detailed problem statement (750-1000 words) covering:

  1. Current State Pain Points

    For each persona, enumerate 3-5 specific pain points:

    • Compliance Officers: Manual evidence collection, point-in-time audits, framework overlap inefficiency
    • Security Engineers: Alert fatigue, configuration drift, tool sprawl
    • Engineering Leaders: Compliance as development bottleneck, unclear control ownership
    • Executive/Board: Audit anxiety, compliance cost opacity, regulatory exposure risk

  2. Industry-Specific Challenges

    • Healthcare/Pharma: HIPAA complexity, FDA SaMD requirements, AI model validation
    • Fintech: Multi-framework burden (SOC2+PCI+GDPR), real-time transaction monitoring
    • AI-First Companies: EU AI Act uncertainty, model governance requirements, bias/safety documentation

  3. Existing Solution Gaps

    Analyze gaps in current market solutions:

    CapabilityVantaDrataHyperproofCODITECT Gap to Fill
    Agentic automationLimited AI assistantGenerative AI featuresAI mappingFull autonomous agent orchestration
    AI governanceBasicBasicNIST AI RMFEU AI Act, ISO 42001, FDA guidance
    Developer workflowSeparate from devSeparate from devSeparate from devNative in autonomous dev platform
    Evidence intelligenceCollection onlyCollection onlyCollection + validationAutonomous gap detection & remediation

Section 3: Target Users & Personas​

Generate detailed persona definitions:

personas:
  compliance_manager:
    title: "Chief Compliance Officer / Compliance Manager"
    company_size: "50-500 employees"
    industry: "Healthcare SaaS, Fintech"
    goals:
      - Maintain continuous compliance across 3+ frameworks
      - Reduce audit preparation time by 80%
      - Demonstrate compliance posture to customers instantly
    frustrations:
      - Manual evidence gathering from 20+ systems
      - Framework overlap creates duplicate work
      - Point-in-time audits don't reflect real security posture
    success_metrics:
      - Time to audit readiness
      - Control coverage percentage
      - Evidence freshness score
    
  security_engineer:
    title: "Security Engineer / DevSecOps"
    company_size: "50-500 employees"
    industry: "Any regulated"
    goals:
      - Automate security control verification
      - Integrate compliance into CI/CD
      - Reduce alert fatigue with intelligent prioritization
    frustrations:
      - Too many dashboards and tools
      - Compliance requirements unclear for engineering
      - Manual security questionnaire responses
    success_metrics:
      - Mean time to remediation
      - Automated control coverage
      - Security questionnaire response time
      
  engineering_leader:
    title: "VP Engineering / CTO"
    company_size: "20-200 employees"
    industry: "Startup scaling to enterprise"
    goals:
      - Ship features without compliance delays
      - Clear ownership model for controls
      - Compliance as code alongside application code
    frustrations:
      - Compliance creates development friction
      - Unclear what controls apply to what systems
      - Audit requests disrupt sprint cycles
    success_metrics:
      - Developer productivity impact
      - Control-to-asset mapping completeness
      - Audit disruption hours
      
  ai_governance_lead:
    title: "AI Ethics / AI Governance Lead"
    company_size: "100+ employees"
    industry: "Healthcare AI, Financial AI, General AI"
    goals:
      - Document AI model lifecycle for regulators
      - Demonstrate bias testing and safety measures
      - Prepare for EU AI Act and emerging regulations
    frustrations:
      - No central system of record for AI models
      - Manual documentation of training data provenance
      - Unclear regulatory requirements for AI systems
    success_metrics:
      - AI model inventory completeness
      - EU AI Act classification coverage
      - Model validation documentation

Section 4: Product Scope & Capabilities​

Generate capability definitions organized by module:

4.1 Core Platform Capabilities​

control_graph:
  description: "Graph-based compliance knowledge management"
  capabilities:
    - Store and query 1000+ controls across frameworks
    - Cross-framework mapping with automatic overlap detection
    - Control-to-asset-to-evidence relationship modeling
    - Regulatory intelligence ingestion and parsing
  value: "Single source of truth eliminates duplicate control work"
  
evidence_engine:
  description: "Automated evidence collection and management"
  capabilities:
    - 50+ integration connectors for evidence sources
    - Scheduled and event-driven evidence collection
    - Evidence freshness tracking and gap detection
    - Audit-ready evidence packaging
  value: "Always audit-ready with fresh, organized evidence"
  
continuous_monitoring:
  description: "Real-time control health assessment"
  capabilities:
    - 500+ automated compliance checks
    - Hourly control status evaluation
    - Drift detection and alerting
    - Risk-weighted posture scoring
  value: "Know your compliance posture at any moment"
  
agent_framework:
  description: "AI agents for compliance automation"
  capabilities:
    - Regulatory intelligence monitoring agent
    - Evidence collection and validation agent
    - Remediation planning and execution agent
    - Audit preparation and Q&A agent
    - Vendor risk assessment agent
  value: "Compliance team of AI specialists working 24/7"

4.2 Vertical Modules​

healthcare_module:
  frameworks: [HIPAA, FDA_SaMD, HITRUST, SOC2_HITRUST]
  specializations:
    - PHI data flow mapping and monitoring
    - Medical device software classification
    - Clinical AI model governance
    - BAA tracking and vendor management
    
fintech_module:
  frameworks: [SOC2, PCI_DSS_4, GLBA, DORA, AML_KYC]
  specializations:
    - Payment data flow mapping
    - Transaction monitoring evidence
    - Third-party payment processor compliance
    - Financial AI model governance
    
ai_governance_module:
  frameworks: [EU_AI_Act, ISO_42001, NIST_AI_RMF, FDA_AI_Guidance]
  specializations:
    - AI model inventory and classification
    - Training data provenance tracking
    - Bias testing and fairness documentation
    - Human oversight requirement mapping
    - High-risk AI conformity assessment

4.3 Workflow Capabilities​

audit_workflows:
  - Audit scoping and planning wizard
  - PBC (Prepared By Client) list management
  - Auditor collaboration portal
  - Real-time audit status tracking
  - Audit finding remediation workflow
  
vendor_management:
  - Vendor security assessment intake
  - SOC report parsing and analysis
  - Vendor risk scoring and tiering
  - Contract obligation extraction
  - Vendor control mapping
  
trust_center:
  - Public compliance posture dashboard
  - Real-time control status display
  - Document sharing portal
  - Security questionnaire automation
  - Customer due diligence support

Section 5: Integration Strategy​

Generate integration requirements:

integration_tiers:
  tier_1_launch:
    description: "Must-have for MVP"
    integrations:
      cloud:
        - AWS (IAM, Config, CloudTrail, GuardDuty, SecurityHub)
        - GCP (IAM, SCC, Cloud Audit Logs, Asset Inventory)
        - Azure (AD, Defender, Monitor, Policy)
      identity:
        - Okta (users, groups, apps, logs)
        - Google Workspace (users, groups, drive, admin)
      code:
        - GitHub (repos, branch protection, actions, dependabot)
        - GitLab (repos, pipelines, security scanning)
      ticketing:
        - Jira (issues, workflows, custom fields)
        - Linear (issues, projects, automations)
      hr:
        - Rippling (employees, departments, equipment)
        - BambooHR (employees, time off, documents)
        
  tier_2_growth:
    description: "Post-MVP expansion"
    integrations:
      cloud:
        - Heroku, Vercel, Cloudflare
      security:
        - Snyk, Dependabot, Qualys, Tenable
        - CrowdStrike, SentinelOne, Carbon Black
      productivity:
        - Slack (DLP, audit logs)
        - Microsoft 365 (users, compliance center)
      infrastructure:
        - Kubernetes (RBAC, policies, pod security)
        - Terraform (state, drift detection)
        
  tier_3_enterprise:
    description: "Enterprise and vertical-specific"
    integrations:
      healthcare:
        - Epic, Cerner (EHR access logs)
        - Zoom for Healthcare (telehealth logs)
      fintech:
        - Plaid (audit logs)
        - Stripe (compliance dashboard)
      grc:
        - ServiceNow GRC
        - OneTrust

Section 6: Competitive Positioning​

Generate competitive analysis:

6.1 Direct Competitors​

For each competitor, analyze:

  • Core strengths and weaknesses
  • Pricing model and target market
  • Integration breadth
  • AI/automation capabilities
  • Key differentiators

Competitors to analyze:

  1. Vanta - Market leader, strong Trust Center
  2. Drata - SOC2 focus, good automation
  3. Secureframe - 35+ frameworks, enterprise features
  4. Hyperproof - GRC depth, risk management
  5. Sprinto - SMB focus, rapid onboarding

6.2 Positioning Matrix​

Create positioning matrix on axes:

  • X: Automation Level (Manual → Fully Autonomous)
  • Y: AI Governance Depth (Basic → Comprehensive)

Position CODITECT-COMPLIANCE in upper-right quadrant.

6.3 Differentiation Messaging​

Generate key messaging pillars:

messaging_pillars:
  agentic_compliance:
    headline: "Your AI Compliance Team, Working 24/7"
    proof_points:
      - Autonomous evidence collection and validation
      - Intelligent gap detection and remediation
      - Regulatory intelligence monitoring
      
  compliant_by_default:
    headline: "Build Compliance Into Your Code, Not Around It"
    proof_points:
      - Native integration with CODITECT autonomous development
      - Control-as-code alongside application code
      - Compliance gates in CI/CD pipelines
      
  ai_governance_native:
    headline: "Purpose-Built for the AI Regulation Era"
    proof_points:
      - Full EU AI Act conformity support
      - AI model inventory and classification
      - Training data provenance and bias documentation
      
  regulated_industry_depth:
    headline: "Deep Expertise Where Compliance Matters Most"
    proof_points:
      - Healthcare-specific controls and evidence
      - Fintech-ready multi-framework bundles
      - FDA AI guidance pre-mapped

Section 7: Go-to-Market Strategy​

Generate GTM strategy:

7.1 Target Segments​

icp_segments:
  segment_a:
    name: "Scaling Healthcare AI Startup"
    characteristics:
      - 50-200 employees
      - Series A-B funded
      - Developing AI-powered healthcare products
      - Needs HIPAA + SOC2 + preparing for FDA
    entry_point: Healthcare module bundle
    expansion: AI governance add-on
    
  segment_b:
    name: "Growth-Stage Fintech"
    characteristics:
      - 100-500 employees
      - Series B-C funded
      - Processing payments or financial data
      - Needs SOC2 + PCI DSS + GDPR
    entry_point: Fintech module bundle
    expansion: Vendor risk management
    
  segment_c:
    name: "AI-First Enterprise"
    characteristics:
      - 200-2000 employees
      - Deploying AI at scale
      - Multinational operations
      - Needs EU AI Act + ISO 42001 + existing frameworks
    entry_point: AI governance module
    expansion: Full platform

7.2 Pricing Strategy​

pricing_model:
  philosophy: "Value-aligned, not seat-tax"
  
  structure:
    foundation_tier:
      name: "Essentials"
      price: "$499/month"
      includes:
        - 2 frameworks (SOC2 + HIPAA or PCI)
        - 10 integrations
        - Basic agent capabilities
        - Email support
      target: "Early-stage startups"
      
    growth_tier:
      name: "Growth"
      price: "$1,499/month"
      includes:
        - 5 frameworks
        - 25 integrations
        - Full agent capabilities
        - Trust Center
        - Vendor management (10 vendors)
        - Priority support
      target: "Scaling companies"
      
    enterprise_tier:
      name: "Enterprise"
      price: "Custom ($3,000+/month)"
      includes:
        - Unlimited frameworks
        - Unlimited integrations
        - AI governance modules
        - Custom agent development
        - Dedicated CSM
        - SLA guarantees
      target: "Large enterprises"
      
  add_ons:
    - AI Governance Module: +$500/month
    - Additional vertical pack: +$300/month
    - Premium integrations: +$100/integration/month

Section 8: Success Metrics​

Generate success metrics framework:

north_star_metric:
  name: "Compliance Posture Score Improvement"
  definition: "Average improvement in customer compliance posture score within 90 days"
  target: "30% improvement"
  
product_metrics:
  adoption:
    - DAU/MAU ratio (target: >40%)
    - Integration activation rate (target: >5 per customer)
    - Agent task completion rate (target: >95%)
    
  value_delivery:
    - Time to audit readiness (target: <14 days from onboarding)
    - Evidence freshness score (target: >90% fresh)
    - Control coverage percentage (target: >95%)
    
  efficiency:
    - Compliance hours saved per month (target: 40+ hours)
    - Audit finding remediation time (target: <7 days)
    - Security questionnaire response time (target: <2 hours)
    
business_metrics:
  revenue:
    - ARR growth rate
    - Net revenue retention (target: >120%)
    - Average contract value
    
  customer_health:
    - NPS score (target: >50)
    - Customer churn rate (target: <5% annual)
    - Expansion revenue percentage

Section 9: Roadmap Overview​

Generate high-level roadmap:

roadmap:
  phase_1_foundation:
    timeline: "Q1 2025"
    theme: "Core Platform Launch"
    deliverables:
      - Control graph with SOC2, ISO27001, HIPAA
      - 15 tier-1 integrations
      - 3 core agents (evidence, monitoring, remediation)
      - Basic Trust Center
    milestone: "Beta launch with 10 design partners"
    
  phase_2_expansion:
    timeline: "Q2 2025"
    theme: "Vertical & Agent Expansion"
    deliverables:
      - Healthcare module with FDA guidance
      - Fintech module with PCI DSS 4.0
      - 25 additional integrations
      - Audit preparation agent
      - Vendor risk agent
    milestone: "GA launch"
    
  phase_3_ai_governance:
    timeline: "Q3 2025"
    theme: "AI Governance Suite"
    deliverables:
      - EU AI Act conformity module
      - ISO 42001 framework support
      - AI model inventory and governance
      - Training data provenance tracking
    milestone: "AI governance GA"
    
  phase_4_enterprise:
    timeline: "Q4 2025"
    theme: "Enterprise Scale"
    deliverables:
      - Multi-tenant enterprise features
      - Custom framework builder
      - Advanced analytics and reporting
      - GRC platform integrations
    milestone: "Enterprise tier launch"

Output Format​

Generate the document as a single markdown file with:

  • Table of contents with anchor links
  • Proper heading hierarchy (H1-H4)
  • YAML code blocks for structured data
  • Tables for comparative analysis
  • Clear section separators

Acceptance Criteria​

The generated document must:

  1. Be 4,000-6,000 words
  2. Cover all 9 sections comprehensively
  3. Include specific, actionable details (not generic)
  4. Reference competitive landscape accurately
  5. Align with CODITECT platform vision
  6. Provide clear differentiation from existing solutions

Execution​

Generate the complete Product Definition Document now.