Case Studies

Projects across industries

Each automation represents a unique challenge solved with practical AI solutions.

Legal
Active

Document Review AI

Automated contract analysis and risk assessment system for a mid-size law firm, reducing manual review time by 70% while maintaining 100% audit trail compliance.

70%
Time Reduction
100%
Audit Trail
OpenAI APICustom NLPDocument Parser
Weekly Impact40 hours saved
SaaS
Active

Support Triage System

Intelligent ticket routing system for SaaS company processing 500+ daily support tickets with automated priority assignment and sentiment analysis.

60%
Faster Response
95%
Accuracy Rate
Zendesk APIMachine LearningSentiment Analysis
Daily Volume500+ tickets
Sales
Active

Lead Qualification Engine

Intelligent lead scoring system with automated routing and data enrichment for B2B sales team, increasing conversion rates by 40%.

10x
Efficiency Gain
40%
Higher Conversion
HubSpot CRMClearbit APICustom Scoring
ROI Increase300% growth
Finance
Active

Financial Report Automation

Automated financial reporting pipeline that pulls data from 8 different systems, generates visualizations, and distributes reports to stakeholders.

90%
Time Saved
0
Manual Errors
Google SheetsQuickBooksAuto Scheduling
FrequencyWeekly automated

Our Methodology

How we deliver results

Every project follows our proven methodology for building practical AI automations.

01

Discovery & Analysis

Deep dive into your actual workflow, shadow your team, and identify real pain points—not just what you think needs automation.

1-2 weeks
02

Design & Planning

Create detailed automation blueprints with clear success metrics, failure modes, and human oversight points. No black boxes.

3-5 days
03

Build & Test

Develop automation in stages with continuous testing and feedback. Every component is transparent and auditable.

1-3 weeks
04

Deploy & Monitor

Launch with comprehensive monitoring, team training, and ongoing support. Ensure smooth adoption and continuous improvement.

Ongoing