I don't advise on AI. I build it inside your actual tools.
Most AI consultants will sit across from you, listen to your problem, and hand you a slide deck of recommendations. Then they leave. You're left holding a strategy document and the exact same workload you started with.
That's not what I do.
I connect directly into the tools you're already using — Notion, Gmail, Slack, your CRM, whatever you're actually living in day to day — and I build the workflow inside it. Not a recommendation about what you could build. The actual thing, working, in your environment, before I ever send an invoice.
Here's the honest part: I'm not a "finished expert" handing down wisdom from on high. I'm someone who built this exact stack for my own business first — email automation, content systems, two live websites, a whole operating system — before I ever offered to do it for anyone else. I'm one step ahead, not a decade ahead. That's not a weakness. It means I still remember every wall I hit, which means I know exactly where you're about to hit yours.
What that looks like in practice: we get on a call, you tell me what's eating your time, and I scope a build — not a strategy memo. Something that's actually running by the time we're done.
If you've been sitting on "we should really figure out AI" for months because every consultant you've talked to gives you a PowerPoint and a bill — that's the gap I build into.
Your website could be generating enquiries every day, but how many potential customers are slipping through because nobody is following up quickly or qualifying them properly?
A business owner reached out to me with exactly this problem.
Their website was collecting enquiries, but there was no consistent process for reviewing them, identifying serious prospects and responding.
So I built a system to handle that entire process.
Here's what happens when someone submits an enquiry:
→ The system picks it up immediately, whether it's 2 PM or 2 AM.
→ Invalid submissions and duplicate enquiries are filtered out.
→ Each enquiry is assessed against the business's own qualification rules and classified as qualified, needing more information, or not a fit.
→ Every assessment must be supported by exact quotes from the original enquiry. Those quotes are independently verified, so unsupported claims are marked as unknown.
→ Each lead is added to the CRM with its assessment, notes and pipeline card.
→ A personalised reply is drafted based on the information provided, asking only for what's missing.
→ The draft goes to Slack for human review. A team member can approve it, edit it or reject it.
→ Once approved, the email is sent and the lead moves forward in the pipeline.
I built the entire system using n8n and Claude, with the client's existing tools and accounts.
One important detail: AI makes only two decisions throughout the entire workflow. Everything else is designed to validate those decisions and keep the process controlled, traceable and reliable.
The goal isn't simply to automate emails. It's to make sure incoming enquiries are properly handled, qualified and followed up without relying on someone to manually manage every step.
If you're a business owner, founder or agency owner looking to improve how your business handles incoming leads, send me a DM.
AI Automation Platform — SaaS Dashboard & Mobile App UI Design
✨ Smarter Workflows, Powered by AI
A futuristic AI automation platform concept that brings workflows, intelligent assistance, and performance analytics into one digital workspace. The design combines a deep navy interface, electric blue accents, and immersive orbital visuals to make complex automation tools feel intuitive and accessible.
Special attention was given to:
• Immersive dashboard composition with glowing orbital graphics and futuristic visual elements
• AI assistant interface featuring voice interaction controls, animated-inspired waveforms, and quick actions
• Organized workflow cards, automation management, and real-time activity feeds
• Clear analytics widgets with progress indicators, performance charts, and automation status controls
• Responsive desktop and mobile layouts with consistent dark-mode styling and streamlined navigation
The result is a modern SaaS experience that balances futuristic aesthetics with practical usability, giving users a clear view of their workflows, AI tools, and automation performance.
Your AI-assisted product is supposed to deduct ₦50,000.
It deducts ₦500,000.
Who owns that mistake?
Would "AI built it" be an acceptable explanation to your customer?
I use AI in my design process.
For research, it helps me organize information and explore questions.
For design thinking, it helps me challenge assumptions and explore different directions.
For inspiration, it helps me get unstuck.
But there's something I won't outsource:
My judgment.
I still have to understand the problem, question the suggestions, consider the user, make the design decisions and validate the experience.
AI can help generate the work faster.
But the people who approve and ship a product must own what reaches the user.
AI can assist the process. It cannot replace the responsibility behind the product.
Founders building digital products: what's your human-review process before an AI-assisted feature reaches your customers?
I'm also open to remote UI/UX and Product Design opportunities and selected projects. If you're building something and need thoughtful design alongside AI-assisted execution, let's connect.