Add comprehensive platform administration panel

- Database: Add login_history, ai_recommendation_log tables; is_platform_owner
  column on users; subscription fields on organizations (payment_date,
  confirmation_number, renewal_date)
- Backend: New AdminAnalyticsService with platform metrics, tenant detail, and
  health score calculations (0-100 based on activity, budget, transactions,
  members, AI usage)
- Backend: Login/org-switch now records to login_history; AI recommendations
  logged to ai_recommendation_log; platform owner protected from superadmin toggle
- Frontend: 4-tab admin panel (Dashboard, Organizations, Users, Tenant Health)
  with tenant detail drawer, subscription management, health scoring visualization
- Platform owner account (admin@hoaledgeriq.com) auto-redirects to admin panel
- Seed data includes platform owner account and sample login history

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

backend/src/modules/investment-planning/investment-planning.service.ts

@@ -166,8 +166,9 @@ export class InvestmentPlanningService {
    * 4. Call the AI API
    * 5. Parse and return structured recommendations
    */
-  async getAIRecommendations(): Promise<AIResponse> {
+  async getAIRecommendations(userId?: string, orgId?: string): Promise<AIResponse> {
     this.debug('getAIRecommendations', 'Starting AI recommendation flow');
+    const startTime = Date.now();
 
     const [snapshot, cdRates, monthlyForecast] = await Promise.all([
       this.getFinancialSnapshot(),
@@ -188,6 +189,7 @@ export class InvestmentPlanningService {
 
     const messages = this.buildPromptMessages(snapshot, cdRates, monthlyForecast);
     const aiResponse = await this.callAI(messages);
+    const elapsed = Date.now() - startTime;
 
     this.debug('final_response', {
       recommendation_count: aiResponse.recommendations.length,
@@ -195,9 +197,33 @@ export class InvestmentPlanningService {
       risk_notes_count: aiResponse.risk_notes?.length || 0,
     });
 
+    // Log AI usage to shared.ai_recommendation_log (fire-and-forget)
+    this.logAIUsage(userId, orgId, aiResponse, elapsed).catch(() => {});
+
     return aiResponse;
   }
 
+  private async logAIUsage(userId: string | undefined, orgId: string | undefined, response: AIResponse, elapsed: number) {
+    try {
+      const schema = this.tenant.getSchema();
+      await this.dataSource.query(
+        `INSERT INTO shared.ai_recommendation_log
+         (tenant_schema, organization_id, user_id, recommendation_count, response_time_ms, status)
+         VALUES ($1, $2, $3, $4, $5, $6)`,
+        [
+          schema || null,
+          orgId || null,
+          userId || null,
+          response.recommendations?.length || 0,
+          elapsed,
+          response.recommendations?.length > 0 ? 'success' : 'empty',
+        ],
+      );
+    } catch (err) {
+      // Non-critical — don't let logging failure break recommendations
+    }
+  }
+
   // ── Private: Tenant-Scoped Data Queries ──
 
   private async getAccountBalances(): Promise<AccountBalance[]> {