diff --git a/backend/app/main.py b/backend/app/main.py
index cd07129..9db0ced 100644
--- a/backend/app/main.py
+++ b/backend/app/main.py
@@ -380,6 +380,8 @@ async def upload_logo(
     if current_user.role != "admin":
         raise HTTPException(status_code=403, detail="Solo administradores pueden cambiar el logo")
 
+    print(f"\n📝 SUBIENDO LOGO DE EMPRESA...")
+    
     # Subir imagen a MinIO
     file_extension = file.filename.split(".")[-1]
     now = datetime.now()
@@ -388,24 +390,44 @@ async def upload_logo(
     s3_key = f"{folder}/{file_name}"
     s3_client.upload_fileobj(file.file, S3_IMAGE_BUCKET, s3_key, ExtraArgs={"ContentType": file.content_type})
     logo_url = f"{S3_ENDPOINT}/{S3_IMAGE_BUCKET}/{s3_key}"
+    print(f"✅ Logo subido a S3: {logo_url}")
 
-    # Guardar en configuración (puedes tener una tabla Config o usar AIConfiguration)
+    # Guardar en configuración (crear si no existe)
     config = db.query(models.AIConfiguration).filter(models.AIConfiguration.is_active == True).first()
     if config:
+        print(f"🔄 Actualizando logo en configuración existente (ID: {config.id})")
         config.logo_url = logo_url
         db.commit()
         db.refresh(config)
-    # Si no hay config, solo retorna la url
+    else:
+        # Crear configuración básica solo para guardar el logo
+        print("⚠️ No hay configuración de IA activa, creando una básica para guardar el logo")
+        new_config = models.AIConfiguration(
+            provider="openai",
+            api_key="pending",  # Placeholder, se actualizará luego
+            model_name="gpt-4o",
+            logo_url=logo_url,
+            is_active=True
+        )
+        db.add(new_config)
+        db.commit()
+        db.refresh(new_config)
+        print(f"✅ Configuración creada con ID: {new_config.id}")
+    
+    print(f"✅ Logo guardado correctamente: {logo_url}\n")
     return {"logo_url": logo_url}
 
 @app.get("/api/config/logo", response_model=dict)
 def get_logo_url(
     db: Session = Depends(get_db)
 ):
+    print(f"\n🔍 OBTENIENDO LOGO DE EMPRESA...")
     config = db.query(models.AIConfiguration).filter(models.AIConfiguration.is_active == True).first()
     if config and getattr(config, "logo_url", None):
+        print(f"✅ Logo encontrado: {config.logo_url}\n")
         return {"logo_url": config.logo_url}
     # Default logo (puedes poner una url por defecto)
+    print(f"⚠️ No hay logo configurado, retornando default\n")
     return {"logo_url": f"{S3_ENDPOINT}/{S3_IMAGE_BUCKET}/logo/default_logo.png"}
 
 
@@ -1548,11 +1570,17 @@ def generate_inspection_pdf(inspection_id: int, db: Session) -> str:
     # Obtener logo principal de configuración (empresa)
     config = db.query(models.AIConfiguration).filter(models.AIConfiguration.is_active == True).first()
     company_logo_url = None
-    if config and getattr(config, "logo_url", None):
-        company_logo_url = config.logo_url
-        print(f"📸 Logo de la empresa: {company_logo_url}")
+    if config:
+        print(f"🔍 Configuración de IA encontrada (ID: {config.id})")
+        if getattr(config, "logo_url", None):
+            company_logo_url = config.logo_url
+            print(f"📸 Logo de la empresa: {company_logo_url}")
+        else:
+            print("⚠️ Configuración de IA existe pero no tiene logo_url configurado")
+            print("   💡 Ve a Settings y sube el logo de la empresa")
     else:
-        print("ℹ️ No hay logo de empresa configurado")
+        print("⚠️ No hay configuración de IA activa en la base de datos")
+        print("   💡 Ve a Settings, configura la IA y sube el logo de la empresa")
     
     # Obtener logo del checklist (NO usar fallback)
     checklist_logo_url = None
@@ -1783,16 +1811,14 @@ def generate_inspection_pdf(inspection_id: int, db: Session) -> str:
     metric_value = ParagraphStyle('metric_value', parent=info_style, fontSize=16, fontName='Helvetica-Bold', alignment=TA_CENTER)
     
     metrics_data = [
-        [Paragraph("Puntuación", metric_label), Paragraph("Porcentaje", metric_label), Paragraph("Estado", metric_label), Paragraph("Ítems Críticos", metric_label)],
+        [Paragraph("Puntuación", metric_label), Paragraph("Ítems Críticos", metric_label)],
         [
             Paragraph(f"<b>{inspection.score}</b> / {inspection.max_score}", metric_value),
-            Paragraph(f"<b>{percentage:.1f}%</b>", metric_value),
-            Paragraph(f"<b>{score_label}</b>", ParagraphStyle('status_value', parent=metric_value, textColor=score_color)),
             Paragraph(f"<b>{inspection.flagged_items_count}</b>", metric_value)
         ]
     ]
     
-    score_table = Table(metrics_data, colWidths=[45*mm, 45*mm, 45*mm, 45*mm])
+    score_table = Table(metrics_data, colWidths=[90*mm, 90*mm])
     score_table.setStyle(TableStyle([
         ('BACKGROUND', (0, 0), (-1, 0), colors.HexColor('#f8fafc')),
         ('BACKGROUND', (0, 1), (-1, -1), colors.white),
diff --git a/backend/app/schemas.py b/backend/app/schemas.py
index 6b1bdce..dbd2279 100644
--- a/backend/app/schemas.py
+++ b/backend/app/schemas.py
@@ -271,6 +271,7 @@ class AIConfigurationBase(BaseModel):
     provider: str  # openai, gemini
     api_key: str
     model_name: Optional[str] = None
+    logo_url: Optional[str] = None
 
 class AIConfigurationCreate(AIConfigurationBase):
     pass
@@ -279,6 +280,7 @@ class AIConfigurationUpdate(BaseModel):
     provider: Optional[str] = None
     api_key: Optional[str] = None
     model_name: Optional[str] = None
+    logo_url: Optional[str] = None
     is_active: Optional[bool] = None
 
 class AIConfiguration(AIConfigurationBase):