Automate_me

@Samuel__Andre Mahd stuff you built there bro.

I built a system that handles lead intake, categorization, and multi-channel notification in under 2 seconds.

@EbusCodes @cognixai_ @Tech_babby Great project my guy.

I built a workflow this week that removes hours of manual follow-up from customer communication. @cognixai_ @Tech_babby #BuildingInPublic Here is what I did 👇

@Sahbon_Shally @AutomationKing0 @cognixai_ @Tech_babby Good use of automation for responsiveness. Speed is a real conversion driver.

I just built something that replies to customers even when the business owner is asleep. And it doesn’t sound like a bot. Here’s the problem most small businesses won’t admit. Messages pile up. “Hi, how much?” “Are you available?” “I want to order”

What This Means Procurement shifts from manual searching to fast, informed decision-making. Less time wasted, lower risk, faster execution. If your team still sources manually, send “SOURCING” + your process. #AIAutomation

The After Time: 3–5 hours → under 10 minutes Accuracy: higher validated suppliers only Capacity: 3x more requests handled

I built an AI automated strategic sourcing to eliminate the manual, stressful sourcing. Walk with me

@SOgunshile Speed is solved. Reliability is next. How does your system handle edge cases ambiguous orders, failed payments, or delivery exceptions without human intervention or breaking the workflow?

I built a system that turns a single Telegram message into a fully processed order without anyone touching it. Let me show you what that actually means. Before: Customer sends a message. Someone replies late… or not at all. Details get asked twice. Orders get missed or written down incorrectly. Delivery team gets incomplete information. Everything depends on someone being available. Time lost. Orders lost. Customers lost. The Work: I designed an automated workflow using n8n. Here’s exactly how it runs: • Trigger: Customer sends a WhatsApp message • AI processes the message (extracts product, quantity, location) • Condition: Identifies if it’s an order, inquiry, or complaint • Action: – Sends instant response – Generates order summary – Sends payment details – Stores data in a database – Notifies delivery team No manual follow-up. No guesswork. After: Response time: Instant Order capture: 100% tracked Manual effort: Reduced by over 70% Consistency: Same process, every time What this means: If your business handles 30–50 customer interactions daily, even a small delay or missed step is lost revenue. This kind of system doesn’t just save time. It increases conversion, improves customer experience, and allows your team to focus on decisions not repetition. This is the difference between a business that works hard… and a business that actually scales. If you’re running operations through Telegram or manual workflows and this looks familiar… What part of your process is still breaking under pressure? 👇 @tech_babby @cognixai_ #AIAutomation #BusinessSystems #WorkflowAutomation #Operations #StartupGrowth #NoCode #n8n #TechInBusiness #Efficiency #ProcessAutomation #AIforBusiness #CognixAI #Techbabby

@niel_onweb @Tech_babby @cognixai_ The shift isn’t just technological it’s epistemic. Tools are evolving faster than understanding. The real gap now is not capability, but clarity: knowing what should exist, not just what can be built.

To those building the next layer of the world: ​We need to talk about the shift that’s already happened.

Redesign it until procurement finally earns its place as a strategic engine, not an administrative function.

Where procurement professionals focus on supplier strategy, risk, and value design, not processing requests. Anything less is maintenance disguised as progress. Stop optimizing a system that was never designed for value creation.

To all Procurement Professionals Procurement is still far more manual, reactive, and politically constrained than the industry marketing suggests.

@KalizibeSam Fair critique but the real divide is feedback loops. Guessing becomes expertise when systems are tested against real outcomes. The question isn’t “what was built?” but “what broke, how often, and how quickly did it adapt?”

What’s being called “AI automation” today is often just: Copying templates Following tutorials Hoping it works in real scenarios That’s not expertise. That’s guessing. #CongnixAI #Tech_babby #Automation

@azant Scale is exposing process debt not just people gaps. The real question isn’t “why hire more?” but “why does growth require more friction?” Until systems are redesigned, headcount becomes a patch, not progress, and complexity keeps compounding under the surface.

Here is where most businesses actually are right now. Headcount is growing. Margins are shrinking. More people. Same broken process. More noise. Technology adoption is at an all-time high. Operational clarity is at an all-time low.

To every business owner who has ever said: "I just need to hire more people." This is the letter that needed to be written. 🧵

@_Ra_lee Intent is a strong start but intent without measurement is just direction. How will you know your content is actually solving problems: retention, clicks, conversions, or behavior change? Precision isn’t just in hooks, it’s in verified outcomes.

I just finished my second marketing course yesterday.💃🏻 One of the things I learnt is that Marketing without intent is just noise. I am not interested in making "more" content. I’m interested in making content that actually does the work. I have learned that the most effective content isn’t a list of product specs ,it’s a clear answer to a specific user problem. My goal moving forward is precision. If a hook doesn’t address a real pain point in the first 3 seconds, it’s not doing its job. I am moving away from just making "more" content and focusing on making content that actually solves a problem for the user. I can’t wait to put these new strategies into my next few projects