Case Studies

Real AI results, real numbers

Below are representative outcomes from SaTekk AI projects. Every number here is from a real deployment. We share these case studies with client permission.

Specific results vary based on use case, data quality, integration scope, and adoption. We discuss realistic expectations during the free discovery call.

80%
Avg ticket deflection rate
Avg lead qualification speed
95%
Document review time saved
80%
Tickets Resolved by AI
E-Commerce

AI-Powered Customer Support Agent

The Challenge

A fast-growing e-commerce company was spending 40+ hours per week on customer support — mostly answering the same questions about order status, returns, and product details. Their support team was overwhelmed during peak seasons and response times were slipping above 4 hours.

The Solution

We built a custom AI support agent trained on their help documentation, order management system, and historical ticket data using a RAG pipeline. The agent integrates with their helpdesk via webhook, handles inbound tickets end-to-end, and escalates to human agents only for edge cases it can't resolve with high confidence.

The Outcome

The agent resolves 80% of support tickets without human involvement, reducing response time from 4+ hours to under 30 seconds for covered query types. The support team now focuses entirely on the complex 20% — improving both customer satisfaction and team morale.

Tech stack
Claude 3.5 SonnetRAG pipelinepgvectorPythonWebhook integration
Timeline
4 weeks from kickoff to production
Faster Lead Qualification
SaaS

Automated Lead Qualification & Routing System

The Challenge

A B2B SaaS company was receiving 200+ inbound leads per week. Their sales team was spending 60% of their time on qualification calls with leads that didn't fit the ICP, leaving too little time for genuinely high-value prospects. Lead response time averaged 8 hours — well above the industry standard for optimal conversion.

The Solution

We built a multi-agent system that handles the entire top-of-funnel qualification process. An intake agent analyzes form submissions, enriches them with web research, and scores against their ICP criteria. A routing agent assigns leads to the right sales rep based on company size, industry, and tech stack. A communication agent drafts personalized outreach and schedules discovery calls for high-score leads.

The Outcome

Lead response time dropped from 8 hours to under 5 minutes. The sales team now spends 90% of their time on qualified prospects, tripling their close rate on the leads they do take calls with. The system processes leads 24/7, including outside business hours — capturing international leads that previously went cold.

Tech stack
LangGraph multi-agentGPT-4oHubSpot CRM integrationn8nTypeScript
Timeline
6 weeks from kickoff to production
95%
Time Saved on Document Review
Legal

Legal Document Intelligence Platform

The Challenge

A legal services firm was manually reviewing hundreds of contracts per month — extracting key clauses, flagging non-standard terms, and summarizing risk exposure for clients. Each contract review took 2–4 hours of a paralegal's time. The firm wanted to scale their client load without proportionally scaling headcount.

The Solution

We built a RAG-based document intelligence platform that ingests contract PDFs, chunks and embeds them in a vector database, and runs a suite of specialized AI queries — clause extraction, risk flagging, term comparison against standard templates, and plain-English summary generation. The system uses a hybrid retrieval approach (dense + sparse) for high accuracy on long legal documents.

The Outcome

Contract review time dropped from 2–4 hours to under 10 minutes per document — a 95% time savings. The firm can now handle 5x the client volume with the same team size. The AI output is reviewed and approved by a paralegal before delivery, maintaining quality and professional accountability.

Tech stack
Claude 3 OpusRAGQdrantHybrid searchPythonNext.js frontend
Timeline
8 weeks from kickoff to production

Industries we serve

E-CommerceSaaSLegalFinanceHealthcareReal EstateEducationProfessional ServicesMedia & Content

What results can we get for your business?

Book a free 30-minute call. We'll review your use case and tell you — with realistic numbers — what AI can actually achieve for your business.

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