AI projects with measurable results
We do not just build AI - we ship outcomes. Every project below includes real metrics, timelines, and the technical approach we took. These are the results our clients use to justify their investment and plan their next phase.
Projects delivered
50+
Avg. time to production
8 weeks
Client retention
94%
Combined ROI
$2.5M+
Healthcare Chatbot Platform
Built a multi-channel AI chatbot handling appointment booking, symptom triage, prescription refills, and insurance queries across WhatsApp and web.
The Challenge
The client's call center was handling 15,000+ calls per month with average hold times of 12 minutes. Patient satisfaction was declining, and scaling the team was not cost-effective.
Our Solution
We deployed an AI chatbot on WhatsApp and their patient portal that handles appointment scheduling, basic symptom assessment with triage routing, prescription refill requests, and insurance pre-authorization queries. The bot integrates with their EHR system for real-time data access.
42%
Faster resolution time
50K+
Conversations per month
68%
Tickets auto-resolved
4.6/5
Patient satisfaction score
Tech Stack
Timeline
8 weeks to production
E-Commerce RAG Product Assistant
Built a RAG-powered product search and recommendation engine handling natural language queries across 100K+ SKUs with real-time inventory awareness.
The Challenge
The client's keyword-based search was failing to understand customer intent. Searches like 'something for my mom's 60th birthday under $50' returned irrelevant results, leading to high bounce rates and lost sales.
Our Solution
We implemented a RAG pipeline that ingests product catalogs, descriptions, reviews, and inventory data. Customers search with natural language, and the AI understands intent, filters by availability, and presents personalized recommendations with comparison features.
3x
Search-to-purchase conversion
99.2%
Answer accuracy rate
28%
Higher average order value
0.8s
Average query response time
Tech Stack
Timeline
10 weeks to production
Enterprise Knowledge Base AI
Built an internal AI assistant grounded in company documentation, Slack history, Confluence, and code repositories. Reduced onboarding time by 60%.
The Challenge
New hires took 3+ months to become productive. Institutional knowledge was scattered across Confluence, Slack, Google Docs, and senior engineers' heads. The same questions were being answered repeatedly.
Our Solution
We built a RAG-powered internal assistant that indexes all company documentation, Slack channels, Confluence spaces, and select code repositories. Employees ask questions in natural language and get instant, cited answers with links to source documents.
60%
Faster onboarding
2 months
Payback period
850+
Queries per day
92%
Answer satisfaction rate
Tech Stack
Timeline
8 weeks to production
Auto Slot Booking for Salon Chain
WhatsApp bot that handles appointment booking, rescheduling, and cancellations across 120 locations with real-time stylist availability.
The Challenge
The salon chain was losing potential bookings because their call center could only handle a fraction of incoming requests. Customers calling during peak hours would get busy signals and book with competitors instead.
Our Solution
We built a WhatsApp bot that lets customers browse services, check real-time availability across locations, book appointments, reschedule, and receive reminders. The bot integrates with their existing salon management software for live availability.
3x
Booking conversion rate
40%
Reduction in no-shows
24/7
Booking availability
15K+
Bookings per month
Tech Stack
Timeline
6 weeks to production
Legal Document Analysis Platform
RAG system for analyzing contracts, extracting key clauses, comparing documents, and flagging compliance risks across thousands of legal documents.
The Challenge
Associates were spending 60% of their time on document review - reading contracts, extracting key terms, and cross-referencing with regulatory requirements. This was expensive, slow, and prone to human error on large document sets.
Our Solution
We built a RAG pipeline specialized for legal documents. It ingests contracts, regulations, and case law, understands legal terminology, extracts key clauses and obligations, compares documents against templates, and flags potential compliance issues with cited references.
10x
Faster document review
95%
Clause extraction accuracy
$400K+
Annual cost savings
100%
Audit trail compliance
Tech Stack
Timeline
12 weeks to production
Want results like these?
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