Case Studies
Explore the situation, the work involved, and what changed for the business.
01Technology & SaaS
At a B2B SaaS company, every team pulled its own numbers from its own tool, and the numbers never matched. We unified HubSpot, Stripe, and the rest into one governed warehouse and added an AI data intelligence layer for Slack and the AI tools their teams already use, so there is one answer and everyone can ask for it.
02Retail & Fulfillment
A retail and fulfillment business faced peak-hour slowdowns and crashes from heavy reporting, conflicting definitions across teams, and developers pulled away from product work to answer data requests. We built a separate data warehouse with shared definitions, BI dashboards, and AI-assisted answers for more than 300 staff.
03Chiropractic & Wellness
Payroll processing fell from about three hours to under 10 minutes. Staff drag and drop reports from their clinic management system into the dashboard, where AI prepares a payroll draft for review. Calculations, invoicing, and account records follow in the same workflow.
04Logistics & Service Delivery
A doorstep garment-care service needed customers, service partners, drivers, and its operations team to work from the same order. We built the mobile apps and operating platform connecting bookings, collection, service, return delivery, payments, and reporting.
05Logistics & Supply Chain
A freight settlement business moved from manual paperwork to automated extraction, evidence checks, and structured results. The supplied estimates put manual review at roughly 10% of submissions, with typical single-page processing under a minute.
06Development Workflows
A client needed a better way to move everyday software requests from the business to its development team. We connected request intake, task tracking, AI-assisted code changes, and developer review, moving from a two-week sprint cycle to releases in 1–2 days.
07Healthcare
A clinical intelligence layer for EMRs, designed to bring relevant history, recorded conditions, and clinical findings into one review.
08Property Services
A property services business needed current location, property, and weather data to focus its sales outreach. We rebuilt the enrichment pipelines, cutting processing from 5–6 hours to 30 minutes. The project owner reports a 20% increase in sales revenue following the work.
09E-Commerce & Retail
Customers phoned to ask where their order was, and orders missing information waited for someone to reach the customer. An AI agent now answers order questions by message, WhatsApp, or phone, and a second one calls customers when an order needs their attention.
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