market.analyz.ing.as/strategy/consultant
opportunity.assess.ing.as/strategy/analyst
strategy.develop.ing.as/strategy/consultant
plan.creat.ing.as/strategy/planner
roadmap.build.ing.as/product/strategist
competitive.analyz.ing.as/strategy/analyst

process.audit.ing.as/ops/consultant
workflow.optimiz.ing.as/ops/analyst
efficiency.analyz.ing.as/ops/consultant
automation.recommend.ing.as/ops/advisor
cost.analyz.ing.as/finance/consultant
performance.review.ing.as/ops/analyst

architecture.review.ing.as/tech/architect
stack.recommend.ing.as/tech/consultant
security.audit.ing.as/security/consultant
scalability.assess.ing.as/tech/advisor
migration.plann.ing.as/tech/architect
integration.design.ing.as/tech/consultant

interface ConsultingService {
  // What you need advice on
  topic: string
  question: string
  context: Record<string, any>

  // How it's delivered
  activity: string      // e.g., "market.analyz.ing.as"
  depth: 'quick' | 'deep' | 'comprehensive'
  format: 'summary' | 'report' | 'presentation'

  // Quality control
  sources: 'public' | 'proprietary' | 'both'
  validation?: boolean  // Expert review
  confidence?: number   // Minimum confidence threshold
}

const marketAnalysis: ConsultingService = {
  topic: "AI agent platforms",
  question: "Should we build or buy our agent infrastructure?",
  context: {
    company: { size: 50, stage: 'Series A' },
    timeline: '6 months',
    budget: '$500k',
    requirements: ['multi-tenant', 'scalable', 'secure']
  },

  activity: "decision.analyz.ing.as",
  depth: 'comprehensive',
  format: 'report',

  sources: 'both',
  validation: true,
  confidence: 0.8
}

1. Agent analyzes market landscape
   └── market.analyz.ing.as/strategy/analyst

2. Agent evaluates build vs buy
   └── option.assess.ing.as/strategy/consultant

3. Agent creates financial model
   └── cost.analyz.ing.as/finance/analyst

4. Human expert reviews findings
   └── analysis.review.ing.as/strategy/partner

5. Deliver recommendation + rationale
   └── Event: DecisionRecommended

interface ResearchCapability {
  sources: string[]      // Data sources to query
  depth: number         // Levels of research depth
  synthesis: boolean    // Combine multiple sources
  citations: boolean    // Include source references
}

// Example: Competitive analysis
{
  sources: [
    'public databases',
    'company websites',
    'market reports',
    'news articles',
    'social media',
    'customer reviews'
  ],
  depth: 3,              // Primary, secondary, tertiary sources
  synthesis: true,       // Connect insights across sources
  citations: true        // Full reference list
}

interface ScenarioModel {
  baseline: Scenario
  optimistic: Scenario
  pessimistic: Scenario
  assumptions: Assumption[]
  sensitivity: SensitivityAnalysis
}

// Example: Product launch scenarios
{
  baseline: {
    marketPenetration: 0.05,
    revenue: '$2M',
    timeline: '12 months'
  },
  optimistic: {
    marketPenetration: 0.15,
    revenue: '$8M',
    timeline: '8 months'
  },
  pessimistic: {
    marketPenetration: 0.01,
    revenue: '$400k',
    timeline: '18 months'
  },
  assumptions: [
    'Market size: $200M TAM',
    'Competition: 3 major players',
    'Marketing budget: $500k'
  ]
}

interface Recommendation {
  decision: string
  rationale: string[]
  evidence: Evidence[]
  risks: Risk[]
  mitigations: Mitigation[]
  alternatives: Alternative[]
  confidence: number
}

// Example: Technology decision
{
  decision: "Build custom agent infrastructure",
  rationale: [
    "Proprietary data requires custom training",
    "Competitive advantage from unique capabilities",
    "Long-term cost savings vs licensing"
  ],
  evidence: [
    { source: 'Cost model', finding: '3yr TCO: $2M vs $5M' },
    { source: 'Vendor analysis', finding: 'No solution meets requirements' }
  ],
  risks: [
    { risk: 'Development timeline', impact: 'high', probability: 'medium' }
  ],
  mitigations: [
    { for: 'Development timeline', action: 'Hire 2 ML engineers early' }
  ],
  alternatives: [
    { option: 'License + customize', pros: [...], cons: [...] }
  ],
  confidence: 0.85
}

market.analyz.ing.as/strategy/analyst-1
market.analyz.ing.as/strategy/analyst-2
market.analyz.ing.as/strategy/analyst-3
    ↓
synthesis.agent combines perspectives
    ↓
strategy.review.ing.as/strategy/partner (human)

interface ExpertReview {
  trigger: ReviewTrigger
  expert: HumanExpert
  criteria: string[]
}

const reviewPolicy: ExpertReview = {
  trigger: {
    conditions: [
      'budget > $100k',
      'strategic importance = critical',
      'confidence < 0.85'
    ],
    logic: 'any'  // Trigger if any condition met
  },
  expert: {
    $type: 'Human',
    role: 'Strategy Partner',
    domain: 'market-analysis'
  },
  criteria: [
    'Validate assumptions',
    'Verify data sources',
    'Challenge recommendations',
    'Assess blind spots'
  ]
}

// Analysis collection
{
  $type: 'Analysis',
  $id: 'anl_123',
  topic: 'Market opportunity assessment',
  findings: [...],
  recommendations: [...],
  confidence: 0.87,
  createdBy: { $type: 'Agent', role: 'strategy-analyst' },
  reviewedBy: { $type: 'Human', role: 'strategy-partner' },
  deliveredAt: '2024-01-15T10:00:00Z'
}

// Decision collection
{
  $type: 'Decision',
  $id: 'dec_456',
  question: 'Build vs buy agent platform',
  recommendation: 'build',
  rationale: [...],
  evidence: [...],
  approvedBy: { $type: 'Human', role: 'CTO' }
}

Management.Studio
├── AdvisoryPanel
│   ├── ActiveAnalyses
│   ├── RecentRecommendations
│   ├── PendingReviews
│   └── DecisionHistory

Hourly rate: $300-1000/hour
├── Partner: $1000/hr
├── Senior: $500/hr
├── Junior: $300/hr
└── Minimum engagement: 40 hours
Total: $12,000 - $40,000+

Per analysis: Variable
├── Quick answer: $10-50
├── Deep analysis: $100-500
├── Comprehensive report: $500-2000
├── Strategic plan: $1000-5000
└── Continuous advisory: $500/month

service: ProductStrategyConsulting
activities:
  - market.analyz.ing.as/strategy/analyst
  - competitive.research.ing.as/strategy/analyst
  - roadmap.develop.ing.as/product/strategist
  - feature.prioritiz.ing.as/product/manager
deliverables:
  - Market analysis report
  - Competitive landscape
  - 12-month product roadmap
  - Feature prioritization framework
timeline: 3 days
cost: $2,000 vs $50,000 traditional

service: TechnicalArchitectureReview
activities:
  - architecture.audit.ing.as/tech/architect
  - scalability.assess.ing.as/tech/consultant
  - security.review.ing.as/security/consultant
  - migration.plann.ing.as/tech/architect
deliverables:
  - Architecture assessment
  - Scalability analysis
  - Security recommendations
  - Migration roadmap
timeline: 1 week
cost: $3,000 vs $75,000 traditional

service: ProcessOptimization
activities:
  - process.audit.ing.as/ops/consultant
  - workflow.analyz.ing.as/ops/analyst
  - automation.identify.ing.as/ops/consultant
  - cost.model.ing.as/finance/analyst
deliverables:
  - Current state process map
  - Inefficiency identification
  - Automation opportunities
  - ROI projection
timeline: 5 days
cost: $1,500 vs $40,000 traditional

interface AdvisorySubscription {
  topics: string[]
  frequency: 'on-demand' | 'daily' | 'weekly' | 'monthly'
  deliverables: string[]
  escalation: EscalationPolicy
}

// Example: Startup advisory
{
  topics: [
    'product strategy',
    'market trends',
    'competitive moves',
    'fundraising'
  ],
  frequency: 'weekly',
  deliverables: [
    'Weekly market intelligence brief',
    'Monthly strategic recommendations',
    'On-demand analysis for decisions'
  ],
  escalation: {
    toHuman: 'critical decisions only',
    expert: 'Startup Partner'
  }
}