OPS-831: Consulting page

pcweb/components/docpage/navbar/navbar.py

@@ -11,6 +11,7 @@
 from pcweb.pages.faq import faq
 from pcweb.pages.framework.framework import framework
 from pcweb.pages.hosting.hosting import hosting_landing
+from pcweb.pages.use_cases.consulting import consulting_use_case_page
 from pcweb.pages.use_cases.finance import finance_use_case_page
 from pcweb.pages.use_cases.government import government_use_case_page
 from pcweb.pages.use_cases.healthcare import healthcare_use_case_page
@@ -396,7 +397,7 @@ def solutions_section():
         },
         {
             "label": "Consulting",
-            "url": use_cases_page.path,
+            "url": consulting_use_case_page.path,
             "icon": "MentoringIcon",
         },
         {

pcweb/pages/__init__.py

@@ -23,6 +23,7 @@
 from .sales import sales as sales
 from .security.security import security_page as security_page
 from .to_be_booked import to_be_booked as to_be_booked
+from .use_cases.consulting import consulting_use_case_page as consulting_use_case_page
 from .use_cases.finance import finance_use_case_page as finance_use_case_page
 from .use_cases.government import government_use_case_page as government_use_case_page
 from .use_cases.healthcare import healthcare_use_case_page as healthcare_use_case_page

pcweb/pages/use_cases/consulting/__init__.py

@@ -0,0 +1,33 @@
+import reflex as rx
+
+from pcweb.meta.meta import meta_tags
+from pcweb.pages.use_cases.consulting.views.faq import faq
+from pcweb.pages.use_cases.consulting.views.features_1 import features_1
+from pcweb.pages.use_cases.consulting.views.features_2 import features_2
+from pcweb.pages.use_cases.consulting.views.final_section import final_section
+from pcweb.pages.use_cases.consulting.views.hero import hero
+from pcweb.pages.use_cases.consulting.views.social_proof import social_proof
+from pcweb.pages.use_cases.consulting.views.stats import stats
+from pcweb.pages.use_cases.consulting.views.text_section_1 import text_section_1
+from pcweb.pages.use_cases.consulting.views.text_section_3 import text_section_3
+from pcweb.pages.use_cases.consulting.views.text_section_4 import text_section_4
+from pcweb.templates.mainpage import mainpage
+
+
+@mainpage(
+    path="/use-cases/consulting", title="Consulting Use Case - Reflex", meta=meta_tags
+)
+def consulting_use_case_page() -> rx.Component:
+    return rx.el.div(
+        hero(),
+        social_proof(),
+        text_section_3(),
+        features_2(),
+        text_section_1(),
+        features_1(),
+        text_section_4(),
+        stats(),
+        faq(),
+        final_section(),
+        class_name="flex flex-col size-full justify-center items-center max-w-[calc(100vw-2rem)] mx-auto",
+    )

pcweb/pages/use_cases/consulting/views/faq.py

@@ -0,0 +1,30 @@
+import reflex as rx
+
+from pcweb.pages.use_cases.common.faq import faq_section
+
+
+def faq() -> rx.Component:
+    return faq_section(
+        faq_items=[
+            (
+                "Is Reflex suitable for client delivery?",
+                "Yes. Reflex is used to deliver real, long-lived applications inside enterprise client environments — not just demos.",
+            ),
+            (
+                "Do consultants need frontend or DevOps skills?",
+                "No. Reflex abstracts frontend and deployment so teams can focus on Python, analytics, and business logic.",
+            ),
+            (
+                "Can we reuse apps across multiple clients?",
+                "Absolutely. Many firms build reusable templates and accelerators on Reflex and customize them per engagement.",
+            ),
+            (
+                "Can Reflex support AI, analytics, and ML workloads?",
+                "Yes. Reflex runs in Python and integrates directly with models, data pipelines, and AI services.",
+            ),
+            (
+                "Can we deploy inside client infrastructure?",
+                "Yes. Reflex supports VPC, on-prem, and air-gapped deployments to meet strict client requirements.",
+            ),
+        ],
+    )

pcweb/pages/use_cases/consulting/views/features_1.py

@@ -0,0 +1,69 @@
+import reflex as rx
+
+from pcweb.pages.use_cases.common.features_1 import feature_card
+
+
+def features_1() -> rx.Component:
+    return rx.el.section(
+        feature_card(
+            "Chart03Icon",
+            "Client Dashboards & Executive Portals",
+            items=[
+                "Strategy and KPI dashboards",
+                "Transformation progress trackers",
+                "Financial and operational performance views",
+                "C-suite-ready reporting apps",
+            ],
+        ),
+        feature_card(
+            "ArtificialIntelligence04Icon",
+            "AI-Powered Advisory Tools",
+            items=[
+                "RAG chatbots over client documents",
+                "Internal research assistants",
+                "Scenario analysis and decision tools",
+                "AI copilots for consultants and clients",
+            ],
+        ),
+        feature_card(
+            "Layers01Icon",
+            "Internal Delivery Platforms",
+            items=[
+                "Engagement management tools",
+                "Knowledge-base portals",
+                "Staffing and utilization dashboards",
+                "IP libraries and accelerators",
+            ],
+        ),
+        feature_card(
+            "FlowConnectionIcon",
+            "Process & Workflow Automation",
+            items=[
+                "Data ingestion and validation apps",
+                "Audit and compliance workflows",
+                "Risk assessment tools",
+                "Custom approval and review systems",
+            ],
+        ),
+        feature_card(
+            "PackageIcon",
+            "Productized Consulting IP",
+            items=[
+                "Repeatable tools packaged across clients",
+                "White-labeled internal platforms",
+                "Subscription-style advisory software",
+                "Embedded analytics inside client orgs",
+            ],
+        ),
+        feature_card(
+            "ChartUpIcon",
+            "Analytics & Performance Tools",
+            items=[
+                "Custom BI dashboards",
+                "Predictive modeling interfaces",
+                "Data quality and monitoring apps",
+                "Business intelligence reporting",
+            ],
+        ),
+        class_name="grid lg:grid-cols-2 grid-cols-1 mx-auto w-full max-w-[64.19rem] lg:border-l border-slate-3 relative overflow-hidden border-t",
+    )