CADSEL Consulting
§ 01 — Technology & AI

Enterprise Thinking.
Modern Execution.

CADSEL Consulting designs intelligent business systems that connect data, automate processes, and modernize operations — across enterprise architecture, AI, cloud, integrations, and custom software.

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Enterprise analytics platform — revenue, KPIs, data quality and forecasting
§ 02 — Capabilities

Engineered for the enterprise.

Six disciplines that come together as one connected practice — from cloud and data through AI, integration, and the applications people use every day.

APPLICATIONS

Enterprise Applications

Custom platforms engineered around how the business actually operates.

AI

AI Solutions

Applied AI workflows, assistants, and agents grounded in your systems.

CLOUD

Cloud Architecture

Scalable, secure, cloud-native foundations on AWS, Azure, and Cloudflare.

DATA

Data Engineering

Governed pipelines and modern warehouses for trustworthy analytics.

INTEGRATION

Systems Integration

ERP, CRM, APIs, and cloud services connected into one ecosystem.

AUTOMATION

Business Automation

Repetitive operations replaced by observable, auditable workflows.

§ 03 — Business Outcomes

Business challenges we solve.

We start with the problem — not the technology. Every engagement is shaped around the operational outcome the business needs.

Modernize Legacy Systems

Replace disconnected spreadsheets, outdated applications, and manual processes with scalable modern platforms.

Build Custom Business Applications

Design software around your business instead of forcing your business around software.

Connect Your Business Data

Integrate databases, ERP systems, APIs, cloud services, and third-party applications into one connected ecosystem.

AI & Intelligent Automation

Reduce repetitive work through AI-powered workflows, assistants, and automation.

Executive Reporting & Analytics

Transform operational data into dashboards and reporting that support better decisions.

Digital Products & Customer Platforms

Launch internal platforms, customer portals, SaaS products, and modern web applications.

§ 04 — Architecture

Architecture highlights.

Enterprise architecture is about designing systems that continue to perform as organizations grow.

Cloud Data Platforms

Designing secure, scalable cloud-native data platforms for reporting and analytics.

Enterprise Analytics

Building reporting ecosystems that provide executives with timely and actionable insights.

Systems Integration

Connecting ERP systems, databases, APIs, cloud services, and business applications into unified solutions.

Product Engineering

Leading architecture, product strategy, technical design, and delivery of enterprise software.

AI & Workflow Automation

Applying artificial intelligence to automate repetitive work and improve business operations.

Performance Optimization

Improving system performance through architecture, data modeling, and efficient processing strategies.

§ 05 — Experience

Enterprise experience.

Experience includes initiatives supporting organizations such as:

Johnson & Johnson
Verizon
PepsiCo
SABIC
cBEYONData
Federal Financial Management

Enterprise experience that now informs every solution CADSEL Consulting delivers — from AI-powered automation for small businesses to enterprise-scale software platforms.

§ 06 — Featured Solutions

Consulting case studies.

Illustrative engagements documented as consulting stories — challenge, solution, business value, and the technologies behind each deliverable.

DATA PLATFORM
Case § 01

Modern Cloud Data Platform

Oracle to AWS migration with a reusable integration framework and centralized reporting

Modern Cloud Data Platform — Oracle to AWS migration with a reusable integration framework and centralized reporting
FIG. 01 — Cloud data platform reference architecture
Overview

A cloud-native data platform consolidating legacy operational data into Amazon Redshift for centralized reporting and multi-tool analytics access.

Challenge

An on-premise Oracle environment limited reporting performance and forced every new initiative through a narrow ETL bottleneck owned by a small team.

Solution

A staged ingestion pattern from Oracle into AWS, a reusable integration framework for new sources, and a curated Redshift warehouse exposed to multiple BI tools.

Business Value

Established a durable analytics foundation with shorter refresh cycles, faster onboarding of new data, and broader self-service access.

FINANCIAL ANALYTICS
Case § 02

Enterprise Financial Analytics

SAP S/4HANA to executive dashboards across Datasphere, HANA Cloud, and SAP Analytics Cloud

Enterprise Financial Analytics — SAP S/4HANA to executive dashboards across Datasphere, HANA Cloud, and SAP Analytics Cloud
FIG. 02 — Finance analytics pipeline (S/4HANA → SAC)
Overview

A governed analytics pipeline carrying finance data from SAP S/4HANA through SAP Datasphere and HANA Cloud into executive-facing dashboards in SAP Analytics Cloud.

Challenge

Finance leadership lacked consistent, timely visibility across business units, with figures reconciled manually across disconnected reports.

Solution

A modeled semantic layer with governed KPIs, a unified data foundation in HANA Cloud, and executive dashboards engineered for trust and performance.

Business Value

Replaced manual reconciliation with a single, trusted reporting surface for finance leadership.

AI AUTOMATION
Case § 03

AI Business Automation

AI agents integrated with internal systems to automate repetitive operational work

AI Business Automation — AI agents integrated with internal systems to automate repetitive operational work
FIG. 03 — AI agent workflow across internal systems
Overview

An applied AI workflow where agents interact with internal systems to triage requests, extract structured data, and route work — with humans kept in the loop on exceptions.

Challenge

Skilled operations time was being absorbed by repetitive review, classification, and data-entry work spread across multiple internal tools.

Solution

A combination of language models, deterministic rules, and observable workflows — connected to existing systems through APIs and exposed through an exception queue.

Business Value

Removed repetitive work, preserved accountability through auditable steps, and freed skilled staff for higher-value activity.

OPERATIONS PLATFORM
Case § 04

Custom Operations Platform

Unified web application connecting customers, operations, reporting, and workflows

Custom Operations Platform — Unified web application connecting customers, operations, reporting, and workflows
FIG. 04 — Operations platform surface
Overview

A purpose-built web application replacing a stack of spreadsheets, shared inboxes, and chat threads with a single operating surface for the business.

Challenge

Cross-team coordination depended on tribal knowledge and manual updates, with no shared status, audit trail, or reliable reporting.

Solution

A custom platform with role-based access, structured intake, status tracking, integrated workflows, and operational reporting modeled around how the business actually runs.

Business Value

Gave leadership real-time visibility and consolidated a fragmented stack into one place to run the operation.

§ 07 — Case Studies

Published engagements.

Each project below is documented as a consulting engagement — challenge, solution, capabilities, business value, technology, deliverables, and where it goes next.

Case § 01
Editorial Commerce
2024

ALZA Studios

A refined editorial commerce surface for a contemporary fashion label — engineered as a product, designed as a magazine.

ALZA Studios — A refined editorial commerce surface for a contemporary fashion label — engineered as a product, designed as a magazine.
FIG. 01 — Storefront and editorial landing surface
Project Overview

ALZA Studios needed a digital surface that matched the discipline of its print editorials — restrained, confident, and shoppable without feeling transactional. The engagement covered brand system, product surface, and the underlying content model.

The Challenge

A previous template-based store flattened the brand into a generic commerce layout. Editorial stories lived in one place, products in another, and the team had no shared way to author, sequence, or merchandise the two together.

The Solution

A purpose-built front-end paired with a structured content model that treats stories and products as first-class peers. Editorial layouts compose modular blocks; product pages inherit the same typographic system; merchandising decisions are made in one place and reflected everywhere.

Business Value

A single brand surface where editorial and commerce reinforce each other — and a content model the team can extend without engineering for every campaign.

ALZA Studios — supporting view
FIG. 02 — Product detail page, intrecciato collection
Deliverables
  • Design system and component library
  • Custom storefront application
  • Headless content model and authoring guide
  • Performance and SEO baseline
Future Opportunities

A guided shopping assistant trained on the editorial archive, and personalized seasonal sequencing driven by browse and purchase signals.

Case § 02
Applied AI · Knowledge Work
2024

Nexus AI

An AI workspace that helps a team reason over its own knowledge — with the citations, controls, and escalation paths real work requires.

Nexus AI — An AI workspace that helps a team reason over its own knowledge — with the citations, controls, and escalation paths real work requires.
FIG. 01 — Workspace with assisted decisioning surface
Project Overview

Nexus AI is an applied AI workspace where analysts ask questions of internal documents and systems and receive answers grounded in source material — with the option to escalate, edit, or hand off to a human reviewer.

Technology Stack
OpenAIClaudeVector DBPythonTypeScriptPostgreSQL
The Challenge

General-purpose assistants felt impressive in demos and unreliable in practice — answers were unsourced, tool use was opaque, and there was no path from a model output to a defensible decision.

The Solution

An agent orchestrator that classifies intent, routes between retrieval and tools, and writes every step to an inspectable trace. Generation is grounded in retrieved context with inline citations; uncertain answers escalate to a review queue rather than being silently wrong.

Capabilities Delivered
  • Agent orchestration and tool routing
  • Retrieval-augmented generation
  • Evaluation and trace tooling
  • Human-in-the-loop review
  • Workspace UI and interaction design
Nexus AI — supporting view
FIG. 02 — Agent orchestration and tool routing
Business Value

An assistant analysts actually trust — because every answer is sourced, every step is auditable, and the system knows when to ask for help.

Deliverables
  • Agent orchestration framework
  • Retrieval and grounding pipeline
  • Reviewer and escalation surface
  • Evaluation harness and trace viewer
Future Opportunities

Domain-specific agents for finance, operations, and legal — and a shared evaluation suite that turns reviewer feedback into measurable model improvement.

Case § 03
Operations Analytics
2023

Aurora Pro

A unified operational dashboard replacing a stack of spreadsheets and ad-hoc reports with a single source of truth.

Aurora Pro — A unified operational dashboard replacing a stack of spreadsheets and ad-hoc reports with a single source of truth.
FIG. 01 — Operations overview and KPI surface
Project Overview

Aurora Pro is an operations analytics surface for a data engineering team — bringing pipeline health, throughput, quality, and incidents into one place so leadership can see the operation in real time.

The Challenge

Operational reporting was assembled by hand each week from a half-dozen sources. By the time numbers reached leadership they were stale, contested, and disconnected from the systems that produced them.

The Solution

A modeled metric layer over the existing data platform, a curated set of KPIs governed in one place, and a dashboard surface engineered for trust — with drill-through to the underlying runs, sources, and quality checks.

Business Value

Replaced weekly hand-assembled reports with a real-time operational surface leadership actually opens.

Aurora Pro — supporting view
FIG. 02 — Pipeline runs and data quality view
Deliverables
  • Semantic metric layer
  • Operations dashboard application
  • Alerting and incident surfaces
  • Runbook and ownership documentation
Future Opportunities

Predictive incident detection from historical pipeline behavior, and capacity forecasting tied to upcoming product launches.

Case § 04
Consumer Product
2024

Vitality Performance

A member-facing performance application engineered around the daily ritual — training, recovery, and visible long-term progress.

Vitality Performance — A member-facing performance application engineered around the daily ritual — training, recovery, and visible long-term progress.
FIG. 01 — Performance application, member surface
Project Overview

Vitality Performance is a member-facing application that turns a complex training program into a clear daily ritual — with workout execution, recovery tracking, and a long-view of progress that members actually return to.

Technology Stack
React NativeTypeScriptNode.jsPostgreSQLEdge Functions
The Challenge

An existing experience was built around coach tools, not member ritual. Day-to-day engagement was low, sessions were hard to start, and there was no surface where members could feel themselves getting stronger.

The Solution

A member-first product surface organized around the next session, with frictionless workout execution, structured recovery logging, and a progress view that makes long-term change visible. Coach workflows were preserved underneath, not on top.

Capabilities Delivered
  • Product strategy and member research
  • Native and responsive application design
  • Workout execution and timer engineering
  • Progress visualization
  • Push and notification system
Vitality Performance — supporting view
FIG. 02 — Native screens, dashboard · workout · progress
Business Value

A daily-use product surface that lifts member engagement and gives coaches a stronger signal to coach against.

Deliverables
  • Member application across web and native
  • Coach-facing program authoring tools
  • Progress and reporting surface
  • Push notification and ritual engine
Future Opportunities

Adaptive programming based on logged readiness and recovery, and an AI coach companion that explains program decisions in plain language.

Case § 05
Premium Commerce
2023

Maison

A premium commerce and content platform for a heritage home brand — bringing craft, provenance, and product into one considered surface.

Maison — A premium commerce and content platform for a heritage home brand — bringing craft, provenance, and product into one considered surface.
FIG. 01 — Storefront and seasonal collection
Project Overview

Maison is the digital flagship for a heritage home goods brand. The engagement covered the storefront, the editorial surface around it, and the operational tooling the merchandising team uses to run a season.

The Challenge

The brand's craft, materials, and provenance were the story — but the existing commerce template buried all of it behind generic product cards and a checkout that felt rented rather than owned.

The Solution

A bespoke storefront that treats provenance, materials, and craftsmanship as first-class product attributes — surfaced consistently from category through detail to confirmation. Merchandising tools were rebuilt so the team could compose a season without engineering.

Business Value

A commerce surface that finally carries the brand — and a merchandising practice that can ship a season without engineering on the critical path.

Maison — supporting view
FIG. 02 — Product detail, materials and provenance
Deliverables
  • Bespoke storefront application
  • Merchandising and season composer
  • Checkout, currency, and tax engine
  • Performance and accessibility baseline
Future Opportunities

Made-to-order configurators for select categories, and an editorial loyalty surface tied to provenance and repeat craftsmanship.

§ 08 — Ecosystem

Technology ecosystem.

An architectural capability map across the layers of a modern business platform — selected for fit, not novelty.

BUSINESS
  • Product Strategy
  • Solution Architecture
  • Technical Leadership
  • Agile Delivery
CLOUD
  • AWS
  • Cloudflare
  • Azure
DATA
  • Amazon Redshift
  • Oracle
  • SAP HANA
  • SAP Datasphere
  • PostgreSQL
ANALYTICS
  • SAP Analytics Cloud
  • QuickSight
  • Power BI
  • Business Objects
DEVELOPMENT
  • React
  • TypeScript
  • Node
  • Python
  • REST APIs
ARTIFICIAL INTELLIGENCE
  • OpenAI
  • Claude
  • Gemini
  • AI Agents
  • Automation
§ 09 — Delivery

How we deliver.

A five-step engagement model used across enterprise platforms and modern business applications alike.

01

Discover

Understand the business, users, goals, and constraints.

02

Architect

Design scalable systems before writing code.

03

Build

Deliver incrementally with transparency and continuous feedback.

04

Deploy

Launch with testing, documentation, and operational readiness.

05

Evolve

Continue improving through optimization, AI adoption, and long-term support.

§ 10 — Engage

Let's solve your next business challenge.

Whether you're modernizing enterprise systems, launching a digital product, implementing AI, or replacing manual workflows with custom software, CADSEL Consulting combines enterprise architecture with modern technology to deliver practical solutions that scale.

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