Worked examples, not slides.
Three illustrative builds across three industries, with the figures each one is designed to achieve.
- / 01 · CONSULTING4 WEEKS TO PRODUCTION
An AI pipeline designed to automate client onboarding end-to-end.
Illustrative example. The figures show what this build is designed to achieve, not a measured client result.
An AI pipeline designed to replace a 40-person consulting firm's 3-4 hours of manual intake per client, updating CRM, calendar, tasks, and email in under two minutes.
Before20+ hrs/week lost to manual onboarding
Client intake requires manual data entry across 4 systems — CRM, Google Workspace, project management, and billing. Every new client means 3-4 hours of copy-paste, document routing, and follow-up emails.
AfterFully automated intake pipeline
Intake form triggers AI-powered document processing, CRM record creation, calendar scheduling, task generation, and personalized welcome sequences — designed to finish in under 2 minutes.
90%Faster onboarding20 hrs/wkTime reclaimed4 weeksTime to productionStackHubSpotGoogle WorkspaceSlackn8n“We went from dreading new client intake to it being completely invisible. The system handles everything.”
— Operations Lead, Professional Services Firm - / 02 · RETAIL / DTC4 WEEKS TO PRODUCTION
An AI support agent designed to resolve 70% of tickets.
Illustrative example. The figures show what this build is designed to achieve, not a measured client result.
Designed to cut a DTC e-commerce brand's average response time from 8+ hours to under 2 minutes with a RAG-powered chat agent that escalates gracefully to humans.
Before8+ hour response times crushing CSAT
A small support team is overwhelmed with repetitive order-status, return, and product questions. High volume during sales events pushes response times past 12 hours and frustrates customers.
AfterAI agent designed to resolve 70% of queries instantly
RAG-powered AI agent trained on the product catalog, order data, and return policies. Handles common queries autonomously and escalates gracefully to humans for complex issues.
70%Queries automated<2 minAvg response time4.8/5Customer satisfactionStackShopifyZendeskOpenAIPinecone“Our support team went from fighting fires to focusing on VIP customers. The AI agent handles the rest better than we expected.”
— Head of Customer Experience, E-Commerce Brand - / 03 · MANUFACTURING4 WEEKS TO PRODUCTION
Real-time dashboards designed to replace 2-day reports.
Illustrative example. The figures show what this build is designed to achieve, not a measured client result.
An automated pipeline designed to end a 120-person manufacturer's weekly manual reporting, with AI-written daily digests and anomaly alerts in Slack.
BeforeWeekly reports take 2 days to compile
Production data lives across ERP, quality management, and IoT sensors. Managers compile reports manually every Friday — a 2-day process that is always outdated by the time it lands.
AfterReal-time dashboards with AI summaries
An automated reporting pipeline pulls from all 3 systems and generates AI-summarized daily digests and weekly reports with anomaly detection and trend analysis.
Real-timeVisibility90%Less manual reporting4-8 WksROI paybackStackCustom ERPGoogle SheetsSlackPython“We went from making decisions on week-old data to having real-time visibility into everything. Game changer for our ops team.”
— VP of Operations, Manufacturing Company
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