[email protected] | Nairobi, Kenya

Systems Architecture & Enterprise Revenue Operations Specialist



Enterprise RevOps & AI Automation Portfolio

I engineer automated RevOps frameworks and custom AI workflows that allow high-growth B2B agencies and startups to double their client capacity, protect billing margins, and eliminate manual bottlenecks without increasing headcount and related costs.

By bridging full-stack web data layers, n8n/Make orchestration, and secure cloud infrastructure, I transition fragile, manual business bottlenecks into robust, self-sustaining technical systems.

Below is a structural documentation of engineered enterprise solutions deployed to optimize core business operations, secure transaction lifecycles, and reclaim executive leverage.

CASE STUDY 1: Enterprise RevOps Automation & Capacity Scaling

This project is anchored on Scale & Efficiency Focus, proving that client intake/processing capacity can be doubled without increasing human headcount costs. • Strategic Outcome: Increased Client Intake Capacity with 0% Operations Headcount Growth • Architecture Stack: n8n Workflow Engineering, Make.com Enterprise, HubSpot CRM Custom Object Mapping, Relational Database Sync • Deployment Timeline: 14 Days


🔴The Friction Point (The Before)

A rapidly scaling B2B consultancy scaling past $4M/year was trapped behind an operational ceiling. Every time the sales team closed a high-ticket client, the backend onboarding required 4 hours of manual data entry by human assistants. Staff had to manually create client folders, map custom data objects between disjointed tools, and provision database accounts. Because of this human bottleneck, data entry latency stretched to 48 hours, client onboarding errors also spiked by 15%, and the agency could not take on more than 15 new accounts a month without their staff underperforming as a result of burnout.

⚙️ The Architecture Map (The Technical Fix)

We eliminated human data entry completely by architecting a production-grade, event-driven data pipeline using n8n enterprise workflows and relational database synchronization. When a closed deal transitions to "Won" inside the CRM, a secure webhook triggers a multi-branched automation engine: • CRM Object Mapping: Automatically extracts deep client datasets and structures them into custom relational databases. • Infrastructure Provisioning: Instantly generates secure client portals, assigns account access, and links account parameters dynamically. • Instant Delivery Sync: Triggers real-time internal team notifications and pushes clean analytics directly to the management dashboard.

graph TD
    A[CRM: Deal Marked Closed-Won] -->|Secure Webhook Trigger| B[n8n Enterprise Core Engine]
    B --> C[Custom CRM Object Mapping Engine]
    B --> D[Relational Database Architecture Sync]
    C --> E[Extract Client Metadata & Lifecycle Tags]
    D --> F[Provision Secure Client Portal Framework]
    E & F --> G[Unified Client Onboarding Payload]
    G --> H[Push Instant Slack Alert to Operations Team]
    G --> I[Launch Live Client Dashboard Account]

🟢 The Business Result - (The Commercial ROI)

The manual operational ceiling was permanently dismantled. Client data latency plummeted from 48 hours to less than 3 seconds, with human data entry errors reduced to absolute zero. By replacing manual labor with highly secure, automated infrastructure, the enterprise successfully doubled its monthly onboarding capacity to 40+ high-ticket accounts without hiring a single operational employee. This saved the company over $90,000 USD/year in projected US-headcount costs while ensuring a flawless, premium onboarding experience for their high-net-worth clients.