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FROM BUSINESS PROCESS TO WORKING SOFTWARE

Digital Solutions

CSS designs and builds custom applications, AI-enabled systems, internal tools, workflow platforms, automation, integrations, and digital products that solve operational problems.

What We Build

AI Applications

Copilots, assistants, decision-support tools, AI search, RAG applications, document-intelligence systems, and agentic workflows.

Internal Tools

Applications that replace spreadsheets, email-driven processes, manual tracking, fragmented workflows, and repetitive administrative work.

Workflow Platforms

Systems that coordinate people, AI, approvals, business rules, and data across multi-step processes.

SaaS & Digital Products

Customer-facing or internal software products designed around a defined user need and business outcome.

Customer & Employee Portals

Secure experiences for customers, employees, vendors, partners, or other user groups.

Intelligent Automation

Systems that classify information, route work, trigger actions, connect applications, and reduce manual effort.

Document Intelligence

Applications that extract, classify, compare, summarize, validate, and route information from documents.

Dashboards & Decision Tools

Applications that provide operational visibility, reporting, workflow status, and decision support.

Application Modernization

Replacement or modernization of legacy applications, manual processes, outdated interfaces, and fragmented systems.

Systems Integration

APIs, databases, third-party platforms, enterprise services, and workflows connected into a cohesive system.

Engineering Capabilities

Built for real use.

CSS can support work from prototype through production depending on the engagement.

Capabilities

  • Product discovery
  • Requirements definition
  • UX and workflow design
  • Solution architecture
  • React
  • Next.js
  • TypeScript
  • Modern web applications
  • APIs
  • PostgreSQL
  • Application databases
  • Supabase
  • Authentication
  • Authorization
  • AI and LLM integration
  • RAG
  • Vector search
  • Agentic workflows
  • Workflow automation
  • AWS cloud services
  • Containerized deployment
  • Testing
  • CI/CD
  • Observability
  • Performance engineering
  • Accessibility
  • Documentation
  • Knowledge transfer

How We Build

01

Define the problem

Understand the users, workflow, constraints, data, economics, systems, and desired outcome.

02

Design the solution

Translate requirements into architecture, workflows, interfaces, integrations, and delivery scope.

03

Build in increments

Develop the solution in working increments with regular review and validation.

04

Integrate

Connect the product to systems, APIs, databases, AI services, and other dependencies.

05

Test and validate

Validate functionality, workflow behavior, integrations, accessibility, performance, security considerations, and AI behavior where applicable.

06

Deploy and transfer

Launch the solution, document how it works, and provide the knowledge required for continued ownership.

Digital Solution Starting Points

Workflow Automation Pilot

Choose a high-value workflow and determine whether automation or AI can materially improve it.

MVP Build

Take a defined business problem from concept to a usable first version.

Application Modernization Assessment

Evaluate an existing application or workflow and define a modernization path.

AI Application Prototype

Turn an AI use case into a working prototype that can be tested against realistic workflows.

Integration Sprint

Connect systems or data sources that currently require manual handoffs.

Start a conversation.

Describe the problem you are trying to solve, the decision in front of you, or what you need built.