Patrick Banjo's Work | ContraWork by Patrick Banjo

Patrick Banjo

AI systems to automate and scale your business

New to Contra

Patrick is ready for their next project!

Lagos, Nigeria

Work Posts Services About

Lagos, Nigeria

Cover image for Title
AI Lead Generation Funnel &

Title AI Lead Generation Funnel & Chatbot Automation for Fitness Coaches Designed and developed a high-converting AI lead capture funnel for fitness coaches focused on automating lead qualification, client onboarding, and consultation booking through conversational AI automation. The client wanted to scale their coaching business by capturing more qualified leads while reducing the time spent manually responding to inquiries and scheduling calls. Their existing process relied heavily on manual DMs and inconsistent follow-ups, resulting in missed opportunities and lower conversion rates. Using Lovable for rapid AI web app development, OpenAI API integration, Calendly automation, and Make.com (http://Make.com) workflow automation, I created a fully automated AI lead generation system that guided prospects through a conversational onboarding experience. The AI chatbot was designed to: Capture incoming leads automatically Ask personalized qualification questions Collect fitness goals and client preferences Segment prospects based on interests and readiness Generate AI-powered responses in real time Book consultation calls automatically through Calendly Trigger automated follow-up workflows The funnel experience was optimized for mobile users and designed to feel natural, conversational, and engaging. OpenAI was used to power intelligent responses and personalized interactions, helping create a more human-like client experience while improving lead quality. Make.com (http://Make.com) automation connected all systems together, enabling real-time workflow automation between the chatbot, lead database, scheduling platform, and follow-up systems. Key Features Included: AI lead generation funnel AI chatbot development Conversational AI automation OpenAI API integration Lovable AI web app development Calendly booking automation Make.com (http://Make.com) workflow automation AI lead qualification system Automated consultation scheduling AI sales assistant AI customer engagement workflow Business process automation AI onboarding automation Workflow automation with webhooks Results Achieved: Increased qualified lead conversions significantly Automated consultation booking process Reduced manual lead management workload Improved response time with AI chat automation Created a scalable AI-powered sales funnel for coaching services This project combined AI automation, conversational AI, AI sales workflows, lead generation automation, chatbot integration, and booking automation to help fitness coaches streamline client acquisition and scale their business using intelligent AI-powered systems optimized for engagement and conversions.

Cover image for AI Social Media Content Generator

AI Social Media Content Generator & Automation System for Brand Marketing Developed a custom AI-powered social media content automation system for brands looking to streamline content creation, improve posting consistency, and scale audience engagement across multiple social platforms. The client needed a solution that could automate repetitive content marketing tasks while maintaining brand voice consistency and audience relevance. Their team struggled with generating fresh content ideas, writing engaging captions, organizing content calendars, and scheduling posts efficiently across different channels. Using OpenAI, Airtable, Zapier automation, and Buffer scheduling tools, I built a fully automated AI content generation workflow capable of creating personalized social media content tailored to each brand’s niche, target audience, and marketing goals. The AI workflow automatically generated: Social media captions Content ideas AI-generated hashtags Post variations Brand-specific marketing copy Engagement-focused content prompts Scheduled publishing workflows Airtable was used as a centralized content database and editorial management system, while Zapier handled workflow automation between OpenAI, Airtable, and Buffer. Buffer integration enabled automatic scheduling and publishing of AI-generated content across social media platforms. OpenAI API integration powered intelligent content generation using prompt engineering techniques designed to humanize AI content while aligning with each brand’s tone and marketing strategy. Key Features Included: AI content creation workflow Social media automation AI-generated captions and hashtags OpenAI API integration Zapier workflow automation Airtable content management system Buffer post scheduling automation AI marketing assistant Prompt engineering for brand voice AI content editing and optimization AI workflow setup Automated content calendar system AI-powered engagement optimization Social media workflow automation Results Achieved: Reduced content creation time by 80% Increased posting consistency across platforms Improved audience engagement rates Automated repetitive social media management tasks Scaled content production for multiple brands simultaneously This project combined AI automation, generative AI, social media workflow automation, AI content generation, prompt engineering, and marketing automation to help brands produce high-quality content faster while improving operational efficiency and online engagement.

Cover image for AI Invoice Automation & Smart

AI Invoice Automation & Smart Payment Reminder System with QuickBooks, Stripe & Make.com (http://Make.com) Built a fully automated AI-powered invoicing and payment reminder system for a service-based business looking to streamline billing operations, reduce overdue payments, and improve cash flow management. The client previously managed invoices manually, which resulted in delayed billing cycles, inconsistent payment follow-ups, and difficulty tracking payment statuses across multiple clients. Their objective was to create an intelligent workflow automation system capable of generating invoices automatically, monitoring payment activity in real time, and sending personalized payment reminders without manual intervention. Using QuickBooks, Make.com (http://Make.com) automation workflows, Stripe payment integration, and OpenAI API, I developed a scalable automation system that handled the entire invoice lifecycle from invoice creation to payment confirmation and client follow-up. The automation workflow was designed to: Automatically generate invoices after service completion Sync invoice and payment data between QuickBooks and Stripe Monitor overdue invoices in real time Trigger AI-generated payment reminders based on payment status Personalize reminder messages using OpenAI Update records automatically inside the accounting workflow Reduce manual finance administration tasks OpenAI integration was used to create professional and context-aware reminder messages that improved client communication while maintaining a friendly and professional tone. Make.com (http://Make.com) handled workflow orchestration and webhook automation between QuickBooks, Stripe, and notification systems. Key Features Included: AI invoice automation Smart payment reminder workflows QuickBooks integration Stripe payment automation Make.com (http://Make.com) workflow automation OpenAI API integration Automated billing system AI-generated payment follow-ups Workflow automation with webhooks Business process automation Payment status tracking AI assistant for finance operations Automated customer communication Real-time invoice monitoring Results Achieved: Reduced overdue payments significantly Automated repetitive invoicing tasks Improved payment collection efficiency Reduced manual accounting workload by 75% Enhanced client communication through AI-powered reminders This project combined AI automation, payment workflow automation, accounting system integration, AI-generated communication, and business process automation to create a reliable and scalable invoicing infrastructure optimized for modern digital businesses and automated financial operations.

Cover image for AI Airbnb Chatbot for Property

Cover image for AI CRM Automation & Lead

Cover image for AI Recruitment Automation Platform |

AI Recruitment Automation Platform | AI Resume Screening System, OpenAI, Supabase & Calendly Integration A fast-growing company needed an intelligent recruitment automation system to streamline their hiring process, reduce manual resume screening, and improve candidate response time. The goal was to build an AI-powered workflow that could automatically analyze CVs, summarize candidate profiles, schedule interviews, and update the hiring pipeline without recruiter intervention. To achieve this, I developed a full AI recruitment automation platform using Lovable, Supabase, OpenAI, and Calendly integration. The system was designed as a scalable AI SaaS-style workflow that connects candidate data ingestion, intelligent evaluation, and automated scheduling into a single seamless pipeline. Using OpenAI API, the platform performs AI resume screening by extracting key skills, experience levels, and job relevance from uploaded CVs. It then generates structured candidate summaries that help hiring teams make faster, data-driven decisions. This significantly reduced manual screening workload and improved hiring efficiency. Supabase was used as the backend database to securely store candidate profiles, hiring stages, and interview data in real time. This enabled a structured recruitment pipeline with live updates and seamless data synchronization across the system. I also integrated Calendly to automate interview scheduling, allowing shortlisted candidates to instantly book interview slots without recruiter involvement. This eliminated back-and-forth communication and accelerated the hiring process. Lovable was used to rapidly build and deploy the AI web application interface, creating a clean and intuitive dashboard for recruiters to manage applicants, track progress, and view AI-generated insights. Key features included: AI resume screening and analysis Automated candidate summarization AI recruitment workflow automation Intelligent hiring pipeline management OpenAI-powered candidate evaluation Supabase backend integration Calendly interview scheduling automation AI SaaS recruitment platform Full-stack AI web application Workflow automation for HR teams AI-powered decision support system Recruitment pipeline automation Scalable AI hiring assistant No-code/low-code AI deployment with Lovable End-to-end hiring process automation This project modernized the client’s recruitment process by introducing AI-driven automation, reducing hiring time, improving candidate quality assessment, and creating a scalable recruitment workflow powered by generative AI and intelligent systems.

Cover image for AI Voice Ordering Assistant for

Cover image for Automated AI FAQ Assistant for

Automated AI FAQ Assistant for SaaS Companies | OpenAI Chatbot, Customer Support Automation & Zapier Integration A growing SaaS company needed an AI-powered customer support solution to reduce repetitive support tickets, improve response times, and provide instant answers to users across multiple communication channels. The client wanted a scalable AI FAQ assistant trained on internal company documentation, onboarding materials, and product knowledge bases. To address this challenge, I built a custom AI chatbot and workflow automation system using OpenAI, Zapier, Notion, and Slack. The AI assistant was trained on structured company documentation stored in Notion and designed to provide fast, accurate, and conversational responses to customer inquiries in real time. The project involved creating an intelligent AI support assistant capable of answering frequently asked questions, handling onboarding queries, assisting users with product navigation, and escalating complex issues to human support teams when necessary. Using OpenAI API integration and conversational AI workflows, the chatbot delivered human-like responses that improved customer satisfaction and reduced support workload. I implemented Zapier automation workflows to synchronize customer interactions, automate notifications, trigger support processes, and streamline communication between systems. Slack integration allowed internal teams to receive alerts, monitor conversations, and collaborate efficiently on escalated support requests. The AI workflow automation solution helped the client reduce response times, improve customer engagement, and create a scalable customer service process powered by generative AI and intelligent automation. Key features included: AI FAQ assistant development OpenAI chatbot integration Customer support automation AI workflow automation Conversational AI support system AI knowledge base assistant Multi-channel chatbot support Zapier automation workflows Notion documentation integration Slack workflow notifications AI customer service automation GPT-powered chatbot responses AI assistant for SaaS businesses Workflow automation setup AI-powered help desk support This project enabled the SaaS company to modernize customer support operations using AI automation, chatbot development, and workflow integration while improving efficiency, scalability, and customer experience. Tools & Technologies Used OpenAI API Zapier Notion Slack AI Chatbot Development Workflow Automation Conversational AI Customer Support Automation Knowledge Base Integration ::Generative AI Systems

Cover image for AI Cold Calling System for

Cover image for Problem: Enterprise demos are expensive,

Problem: Enterprise demos are expensive, slow, and often forgettable - so prospects never see the product's real value. Here's a repeatable, hands-on way ElevenLabs turned demos into a growth engine using Lovable (and you can copy it): 1) Define the demo outcome (2-3 minutes) • Pick one persona (GTM lead, engineer, marketing) and one measurable win you want to unlock (pilot sign-up, buy-in, cross-sell). 2) Choose a concrete scenario (3-5 minutes) • Make it visual and story-driven: e.g., a movie promo with interactive characters or a CPG brand with a voice-first support persona. 3) Assemble assets (5-10 minutes) • One short script/flow that shows product value in <90s. • 2-3 audio samples or prompts for voice/mood. • A single mock UI/frame (Figma or a screenshot) to embed. 4) Build the demo in Lovable (5-15 minutes) • Create the flow, wire the audio outputs to ElevenLabs voice + music models, drop in your mock UI, and set simple interaction triggers. • Test once. Iterate twice. Ship. 5) Use the demo as a sales asset • Hand it to your champion to run internally, embed in a prospect call, or include in a pilot proposal. Practical notes & impact • Timeframe: teams at ElevenLabs cut demo build time ~50% - 3-4 demos in the time it used to take to make one. • Outcome: faster sales cycles, more pilots, and direct cross-sell because prospects see multiple products working together. • Edge case: you can build a credible, working demo in the back of a cab - keep it focused and forgivable. Tools to use • Lovable - prototype + host the interactive experience • ElevenLabs API - voices & music for high-fidelity audio • Figma/screenshots - simple visuals • Optional: Make.com/Zapier for lightweight integrations Challenge: Pick one high-value prospect this week - 15 minutes, one persona, one demo. Build it. Share the link or the result here and I’ll give feedback. #demos #productdemos #salesenablement #productledgrowth #SaaS #gotomarket #ElevenLabs #Lovable #UX #productmanagement #sales #revenueops

Cover image for Anyone else treating AI like

Anyone else treating AI like a teammate these days? I just read n8n's guide on human-in-the-loop automation: practical, no-nonsense, and full of examples that actually map to how teams work. Quick highlights you can steal this week: Add checkpoints at irreversible or high-risk moments (publishing, payments, deleting data). Let AI run routine work and only route low-confidence or edge cases to humans using if/wait nodes. Surface approvals where people already work: Slack, Gmail, Telegram, and include context plus a simple approve/reject action. Build timeouts, escalation paths, and an audit trail so the system stays fast and accountable. Real workflows from the article: AI-drafted email replies held for review in Slack. Discord spam flagged to moderators. WordPress drafts with multiple review gates. Postgres + Telegram approval flows. Concrete, not theoretical. My favorite line: 'Done well, HITL doesn't slow automation. It protects trust.' Curious: where do you put your human checkpoints today? Slack buttons, inbox reviews, or still manual handoffs? #AI #HumanInTheLoop #HITL #Automation #n8n #Workflows #NoCode #Trust #Productivity

Cover image for Stop running web agents like

Stop running web agents like it's 2018. If they need a browser, don't build one. Sandbox it. Introducing Browser Sandbox: a secure, fully managed browser environment for your agents. Real browsers. Isolated. Zero infra to manage. Pair it with parallel agents and you get scale without the security drama: thousands of queries in minutes, safe browser instances per task, no babysitting, no blast radius when something goes wrong. Key benefits: Zero config and predictable cost Real-time results and product-grade data pipelines Thousands of queries in minutes with isolated browser instances No infra to manage, no blast radius Either you scale securely today, or you keep inventing avoidable problems. Which side are you on? #BrowserSandbox #WebAgents #Security #Scalability #DataPipelines #DevOps #SaaS #HeadlessBrowsers

I used to dread the 20-30 minutes after every sales call. The notes were messy, the follow-ups piled up, and good leads fell through the cracks while we cleaned up admin. Then we built something that changed the rhythm: an agent that didn't try to be clever, just useful. It listened to the transcript, turned that noise into structured notes, drafted the follow-up, suggested CRM updates, and opened a Slack channel when a technical handoff was needed. One rep clicked approve, watched the tasks populate, and laughed out loud. He had just reclaimed four hours a week. What surprised me most wasn't the agent. It was the work underneath. Seven deterministic automations, a few AI-powered steps, and one agentic layer made the whole thing reliable. The agent amplified a clean system; it didn't try to fix a messy one. That clarity is why revenue moved too: the workflow freed selling time and produced a 32% lift in sales. If you're excited about agents, start with the parts no one likes: inputs, rules, and repeatability. Make the foundation dependable, then let agents multiply the value. What's one repetitive task on your team you'd happily hand to an agent today? #Sales #SalesOps #SalesEnablement #Automation #AI #Productivity #CRM #SaaS

Cover image for Automated Client Onboarding System

I built

Automated Client Onboarding System I built this comprehensive workflow automation to handle the heavy lifting of new client intake. The process is triggered by a successful payment, after which a make.com (http://make.com) scenario automatically generates a custom contract in Dubsado and creates a dedicated project folder in Google Drive. As a make.com (http://make.com) expert, I used API integration to sync these details with Asana for task management and Monday.com (http://Monday.com) for high-level tracking. This is a system I have made.com (http://made.com) automation for specifically to help agencies scale, ensuring that the CRM integration and onboarding are 100% hands-off.

Cover image for Appointment Booking Automation

To solve the

Appointment Booking Automation To solve the problem of missed sales calls, I developed this make.com (http://make.com) automation that acts as a 24/7 ai receptionist. The system uses Vapi AI to handle inbound voice calls, which then triggers a make.com (http://make.com) scenario to check real-time availability in a Google Calendar via API. If a slot is free, the agent books the meeting and pushes the lead data into Monday CRM. I also built in a workflow automation fallback that sends a "Booking Failed" notification to the team if a conflict occurs, proving why a robust make.com (http://make.com) fix and error-handling logic are essential for high-volume automation.

Cover image for AI Virtual Tutor

This project involved

AI Virtual Tutor This project involved building a personalized educational experience using an n8n ai agent architecture. By analyzing the interaction flow, I set up a system where student queries are processed through a retrieval-augmented generation (RAG) pipeline. I used n8n automation to connect a frontend chat interface with a vector database in Notion, allowing the AI to pull from specific course materials. As an n8n workflow specialist, I ensured the api integration handled conversational memory, making this ai chatbot far more capable than a standard LLM. It’s a prime example of high-level ai automation designed for the future of EdTech.

Cover image for AI Survey & Feedback Collector

I

AI Survey & Feedback Collector I engineered this AI automation to transform passive feedback into real-time business intelligence. The workflow starts when a user submits a response via Typeform or Google Forms, which triggers a make.com (http://make.com) scenario via a webhook. I integrated OpenAI to perform sentiment analysis and categorization on the text, then used an API integration to route high-priority "negative" sentiment alerts to Slack while archiving all data in Airtable. This make.com (http://make.com) automation (formerly Integromat) ensures no customer concern goes unnoticed, showcasing my expertise as a make.com (http://make.com) expert in sentiment-driven workflow automation.

Cover image for AI Real Estate Property Guide

I

AI Real Estate Property Guide I created this ai chatbot to act as a 24/7 digital concierge for real estate agencies. Using make com and airtable, the automation allows potential buyers to ask questions about specific listings and receive instant, data-backed answers. I optimized the make scenario for high concurrency and included a whatsapp chatbot integration for mobile users. Whether you need a make com fix, a make com tutor to explain the logic, or a fresh api integration, this project demonstrates my ability to build high-converting ai receptionist tools for any industry.

Cover image for AI Podcast Co-Host

This is a

AI Podcast Co-Host This is a cutting-edge vapi ai agent workflow designed for the creator economy. I built a make scenario that integrates Vapi with Descript to automate the recording and initial "rough cut" of podcast episodes. This youtube automation and workflow automation powerhouse uses api integration to sync transcripts and audio files instantly. As a make expert, I ensured this make com automation (often referred to as integromat by old-school pros) handles multi-track audio processing. It’s a complete n8n workflow for anyone looking to scale content with ai.

Cover image for AI Order Taking Agent

I developed

AI Order Taking Agent I developed this ai receptionist and ai voice agent to handle high-volume transactions without human intervention. By connecting a voice interface to Square via a custom make com scenario, the system can take orders, process payments, and update inventory in real-time. This make com automation is highly versatile—I've even adapted parts of this make automation logic for make com shopify stores. If your current automation is broken, I can fix make com errors or fix workflow bottlenecks to ensure your api integration never misses a sale.

Cover image for AI Lead Qualification System (Enterprise)

For

AI Lead Qualification System (Enterprise) For this high-level automation project, I moved beyond simple scripts to create a full-scale ai lead qualification system. This setup utilizes AI automation and n8n automation to bridge the gap between HubSpot and Slack. I acted as the automation expert to ensure a seamless crm integration, while also building an n8n ai agent to summarize lead intent using ChatGPT. This project is a perfect example of a complex make com automation (or made com-powered system) designed for project management teams that need a "set it and forget it" solution.

Cover image for AI Lead Qualification Agent

I built

AI Lead Qualification Agent I built this ai automation to solve the "speed to lead" problem for sales teams. Using a sophisticated make com scenario, the agent instantly processes incoming leads from a webhook and cross-references data via airtable. This make automation determines if a lead is "sales-ready" before notifying the team. As a make com expert, I leveraged api integration to ensure data flows perfectly between the chatbot and the CRM. Whether you call it make com or integromat, this workflow automation is a masterclass in n8n lead generation and efficiency.

Cover image for AI Interactive Storyteller

This is a

AI Interactive Storyteller This is a creative application of ai automation where I used vapi ai and notion to create an immersive, voice-driven narrative experience. The backend logic is managed via make com, where I developed a complex make scenario to track user choices and update the story state in real-time. By leveraging api integration and a custom make com automation, the system provides a low-latency, conversational UI. This project showcases my ability to think outside the box as a make expert, pushing the boundaries of what a standard ai chatbot can do.

Cover image for AI Event Reminder Agent

To improve

AI Event Reminder Agent To improve event attendance rates, I built an automated ai voice agent using vapi ai agent and make automation. This system monitors a calendar and triggers a personalized, human-like call to participants before the event starts. Built on a sophisticated make com scenario, the automation handles time-zone logic and rescheduling requests. This project highlights my expertise in make.com and n8n, delivering a high-ROI workflow automation that functions as a proactive ai receptionist for busy professionals.

Cover image for AI Customer Support Agent (RAG-Based)

I

AI Customer Support Agent (RAG-Based) I designed and deployed an ai chatbot capable of resolving 80% of common support tickets. The system is powered by a make com automation that connects a frontend chat interface to an airtable database for retrieval-augmented generation (RAG). As a make com expert, I optimized the make com scenario to ensure fast response times and accurate data fetching through a custom api integration. This workflow automation also includes a fallback to a human agent, showing my ability to fix workflow gaps in high-stakes automation environments.

Cover image for AI Blog Content Research Automation

This

AI Blog Content Research Automation This project involved creating a robust ai automation system designed to streamline the editorial process. Using make com (formerly integromat), I built a workflow that triggers whenever a new topic is added to notion. The make scenario uses api integration to pull SEO data and competitor research, then sends a summary to slack for approval. This make com automation significantly reduces manual research time, demonstrating my skills as a make expert in handling complex workflow automation and data mapping between multiple SaaS tools.

Cover image for AI Appointment Booking Agent (Voice-First)

I

AI Appointment Booking Agent (Voice-First) I developed a high-performance ai voice agent using vapi ai and make com automation to handle inbound and outbound scheduling. By building a custom make com scenario, the agent can check real-time availability via api integration and book meetings directly into a calendar. This automation eliminates manual back-and-forth, acting as a 24/7 ai receptionist. As a make.com expert, I ensured the workflow automation included error-handling to fix make com sync issues, providing a seamless experience for both the lead and the business owner.