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Built to Solve Real Problems

A look at the kind of work we do — the problem, the approach, and how each project came together.

The live websites below are real client work. The case studies after them are representative project examples shown for illustration; client names are withheld, and details reflect the actual scope and approach of the work.

Real Estate

Real Estate CRM

Real estate agency managing multiple property listings and a small sales team

Challenge

Scattered spreadsheets and manual follow-ups made it difficult to track leads, properties and the status of each deal in one place. Agents had no shared view of who was following up with which client.

Solution

A customized CRM that manages properties, leads, follow-ups and team assignments in a single system, replacing the spreadsheet-based process.

Features

  • Property listing management with status tracking
  • Lead capture and assignment to individual agents
  • Follow-up reminders and activity logging
  • Role-based views for agents and management

Development Process

  1. 01Mapped the existing manual workflow across the sales team
  2. 02Designed a data model for properties, leads and follow-up stages
  3. 03Built the CRM in reviewable milestones with the client's team testing along the way
  4. 04Migrated existing lead and property data from spreadsheets

Outcome

The team moved from spreadsheet-based tracking to a single connected system, giving management visibility into lead status and follow-ups across the whole sales team.

Next.jsPostgreSQLNode.js
E-commerce

AI Customer Support Bot

E-commerce business handling a growing volume of customer support queries

Challenge

Support volume kept growing while response times slipped, and a large share of incoming questions were simple, repetitive ones that still consumed agent time.

Solution

An AI assistant trained on the business's product and policy content that handles common customer questions directly and automatically routes complex requests to a human agent.

Features

  • AI responses grounded in the business's own product and FAQ content
  • Automatic handoff to a human agent for complex or sensitive queries
  • Conversation logging for support team visibility
  • Embedded chat widget on the storefront

Development Process

  1. 01Reviewed existing support tickets to identify the most common query types
  2. 02Structured the business's product and policy content as a knowledge source for the assistant
  3. 03Built the chat widget and handoff logic
  4. 04Tested against real historical support conversations before launch

Outcome

Common, repetitive questions are now handled automatically, with agents freed up to focus on more complex customer issues.

OpenAI APINode.jsReact
Professional Services

Business Automation Platform

Professional services firm coordinating work across multiple internal teams

Challenge

Manual, disconnected workflows across teams caused delays and repeated data entry, with status updates relying on email and verbal follow-up.

Solution

A centralized platform that replaces multiple manual workflows with automated processes — routing tasks, triggering notifications and consolidating status into one dashboard.

Features

  • Automated task routing between teams
  • Status notifications triggered by workflow stage
  • Centralized dashboard for operational visibility
  • Integration with the firm's existing email and calendar tools

Development Process

  1. 01Mapped the existing cross-team workflow to identify manual bottlenecks
  2. 02Prioritized which processes to automate first based on time impact
  3. 03Built and integrated the automation with existing internal tools
  4. 04Rolled out in phases across teams to manage the transition

Outcome

Manual handoffs were replaced with automated routing and a single dashboard, giving the team a consolidated view of work in progress instead of tracking it across email threads.

PythonAWSREST APIs

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