Case Studies

Results that speak for themselves

Real projects, real outcomes — from Tel Aviv startups to global companies. Every engagement is measured by the impact it creates.

E-commerce · Israel
AI AgentSupport AutomationLangChainClaude API

AI Support Agent Cuts Response Time by 80%

A 50-person Israeli e-commerce company was drowning in customer support tickets — their team of 3 agents was handling 200+ tickets per day, with average response times of 4+ hours.

The Challenge

The support team couldn't scale with the business. Hiring more agents wasn't cost-effective, and response times were hurting customer satisfaction scores.

The Solution

We built a custom AI support agent trained on their product catalog, FAQ database, and historical ticket data. The agent handles all tier-1 queries automatically, with intelligent routing and escalation for complex cases.

❌ Before
Avg response time4+ hours
Tickets handled by AI0%
Agent workload200+ tickets/day
CSAT score3.1★
✅ After
Avg response time< 3 min
Tickets handled by AI70%
Agent workload60 tickets/day
CSAT score4.8★
80%
faster response time
70%
tickets resolved by AI
agent productivity
4.8★
customer satisfaction
SaaS Startup · Tel Aviv
Lead ScoringCRM Integrationn8nWorkflow Automation

Lead Qualification System Saves 12 Hours/Week

A SaaS startup was spending 12+ hours per week on manual lead qualification — their sales team was reviewing hundreds of inbound leads individually and updating CRM records by hand.

The Challenge

The sales team was overwhelmed with admin work. High-value leads were getting lost in the queue, and reps were spending too much time on low-intent prospects.

The Solution

We built an AI lead scoring pipeline connected to their CRM. The system automatically enriches inbound leads with company data, scores them against their ICP, and routes hot leads to the right rep on Slack within minutes of submission.

❌ Before
Time on lead review12+ hrs/week
Qualified call rate18%
Lead scoringManual
CRM update time30 min/lead
✅ After
Time on lead review< 1 hr/week
Qualified call rate54%
Lead scoringAutomated AI
CRM update timeInstant
12hr
saved per week
more qualified calls
94%
scoring accuracy
2wk
implementation time
Digital Agency · Tel Aviv
Claude APIContent AIAutomationNext.js

AI Content Pipeline Cuts Production Time by 75%

A Tel Aviv digital agency was producing content for 12 clients — blog posts, email campaigns, social copy — entirely manually. Each piece took 3–4 hours from brief to delivery.

The Challenge

Writers were bottlenecked on repetitive first drafts. Client turnaround was slow, and scaling to more clients meant hiring more people, not working smarter.

The Solution

We built a branded AI content pipeline using Claude API — trained on each client's tone of voice, past content, and brand guidelines. Writers now focus on editing and strategy, not blank-page drafts.

❌ Before
Time per content piece3–4 hours
Weekly output8 pieces
First draftManual
Brand consistencyInconsistent
✅ After
Time per content piece45 min
Weekly output32 pieces
First draftAI in seconds
Brand consistency100% on-brand
75%
less production time
more content output
12
clients served simultaneously
3wk
implementation time

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