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AI‑Powered Tools

We build intelligent tools that learn from your data — from customer support assistants to demand forecasting models — tailored to your domain and integrated into your existing systems.

Case Studies
01

Customer Support Draft Assistant

Habitat
Challenge

Support agents handled 200+ emails daily with slow response times. Most inquiries followed predictable patterns but still required manual drafting.

Solution

Developed an LLM-powered assistant that reads incoming support emails, cross-references order history, and drafts context-aware replies for agent review.

Result

Average response time cut from 4 hours to 25 minutes, agent throughput doubled

02

Seasonal Demand Forecasting

Termodom
Challenge

Ordering heating equipment was based on gut feeling and last year's numbers, leading to either overstocked warehouses or missed sales during cold snaps.

Solution

Trained a machine learning model on 5 years of sales data, weather patterns, and regional construction permits to forecast demand 8 weeks ahead.

Result

Inventory carrying costs reduced by 31%, stockout events decreased by 60%

03

Document Intelligence Pipeline

NovaPay
Challenge

Compliance teams manually reviewed hundreds of financial documents weekly, extracting key data points for regulatory reporting — a slow, error-prone process.

Solution

Built an LLM-powered extraction pipeline that reads scanned documents, identifies required fields, and populates structured reports with confidence scoring.

Result

Document processing time reduced by 85%, compliance review backlog eliminated within 3 weeks

04

Internal Knowledge Copilot

LogiTrans
Challenge

Operations staff relied on tribal knowledge and old PDFs to answer policy and routing questions, creating inconsistent decisions and long supervisor escalations.

Solution

Implemented an internal copilot trained on SOPs, pricing tables, and route policies that provides grounded answers with source citations inside the admin panel.

Result

Supervisor interruptions reduced by 48%, average policy lookup time fell from 12 minutes to under 45 seconds

05

Lead Qualification Assistant

Termodom
Challenge

Sales staff spent hours reviewing inbound requests and manually sorting serious commercial leads from low-intent retail inquiries.

Solution

Built an AI qualification layer that scores leads from form submissions, extracts project context, and routes high-value opportunities to the right account manager.

Result

Qualified lead response time improved by 67%, sales team recovered 15+ hours weekly

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