Work

What gets built here, and what's already shipped.

Real case studies, not a service menu — plus the range of product types this covers.

Capabilities

Six kinds of product work.

AI Products

AI agents, copilots, intelligent workflows and AI-powered applications.

SaaS Prototypes

Turn a SaaS idea into a working product that can be demonstrated and tested.

Business Automation

Replace manual workflows with AI-powered tools and automation.

AI Internal Tools

Custom tools for sales, operations, support, analytics and internal teams.

WhatsApp and Conversational AI

AI-powered customer engagement and automated workflows.

Rapid Product Prototypes

Build and test product ideas before investing heavily in a full engineering team.

Proof of Work

See what actually shipped.

Two products built end-to-end — from an undefined problem to working software.

InZob

AI-powered business and healthcare engagement platform

Problem

Businesses and healthcare providers were losing leads and patients to slow, manual follow-up — enquiries came in across channels and nobody had a consistent way to respond, qualify, and stay engaged.

Product Thinking

The product needed to combine conversational AI with real workflow automation, not just a chatbot. That meant defining how AI agents should hand off to humans, how conversations become structured data, and how follow-up should be triggered automatically instead of manually.

What Was Built

AI-powered conversations across web and messaging
AI agents for lead and patient qualification
WhatsApp engagement and automated messaging
CRM workflows for tracking conversations and status
Appointment scheduling and automation
AI-generated insights from conversation data
Automated follow-up sequences
Conversation intelligence and analytics
AI-assisted clinical documentation — patient summaries, prescription templates, and suggested doctor's notes

Resulting Product

A working platform where AI agents handle first-touch engagement, qualify intent, and automate follow-up — turning scattered conversations into a structured, trackable pipeline.

FundReap

AI-powered accounts receivable collections for Tally users

Problem

Small and mid-sized businesses using Tally for accounting had no easy way to see which customers were falling behind on payments, or what to do about it — collections were manual, reactive, and easy to lose track of.

Product Thinking

The product needed to read real Tally data without ever writing back to it, then turn raw invoices into a prioritized, actionable collection plan — surfacing which accounts actually need a call today instead of a generic reminder blast.

What Was Built

End-to-end product discovery and scoping
Tally integration for reading real invoice and payment data
Automated collection plans prioritized by risk
AI-generated insights on which accounts need attention and why
DSO (days sales outstanding) tracking and trends
Automated payment reminders and promise-to-pay tracking

Resulting Product

A working, live application that reads a business's real Tally data and turns it into a daily collection plan — with AI insights on which accounts are at risk and why, not just a list of overdue invoices.