Once the applause died down in Babcock University’s School of Computing, the room fell silent. Students, instructors, and visiting founders simply heard a story that was uncomfortably familiar. It was about a Nigerian company that was about to go into recession and chose Juliet instead.
Twelve months ago, inside PressOne Africa, plans for growth and expansion looked perfect on paper. Revenues increased, customer numbers increased, and the line of inquiries piled up. The team prepared 100 new account manager roles. It seemed like a normal answer. More customers, more staff.
Before anything was signed, founder Mayowa Okegbenle asked for one quick review. he asked, sitting down with three sets of numbers.
The first was response time. Some customers were still waiting long hours, sometimes even longer, before seeking help. The second is the peak support queue. Tickets continued to grow faster than they were being cleared. The third is the reality of training. New hires were taking months to learn what agents who had been with the company for 18 months already knew from experience.
When we added 100 more people’s pay stubs to the diagram, the pattern became clear. The company was not understaffed. There was a lack of shared brain power. Knowledge lay dormant within a few powerful performers. As the number of people increased, the weight increased, but the wisdom did not increase.
He said something to the team, we are following our usual strategy but this strategy is failing us.
There were only two honest choices at that point. We will continue to hire and hope that the scale will somehow solve the problems in the system. Or do the hard work of standing back and extracting the judgment of experienced staff and incorporating it into a system that can serve all customers at any time.
They chose the latter. That decision became Juliet.
Juliet is an intelligent customer success system built on artificial intelligence by PressOne Africa. She is grounded in African business background and real customer journeys. She can answer questions, guide customers through setup and places people typically get stuck, and support thousands of customers at the same time, in the same clear local language that human agents use.
Inside PressOne, the impact was muted. Average response time has been reduced to approximately 3 seconds. Human involvement in front-line support has fallen from about 100 percent to about 5 percent, but customer satisfaction remains near 92 percent. Juliet saved millions of naira in headcount in the plan, allowing the team to shelve a 100-person recruitment plan.
This was the crux of the story Mayowa shared with Babcock at the School of Computing’s 25th anniversary celebration. The applause in that hall wasn’t just for the old students who had built something impressive. It was because of the hard truth in his experience.
He summed it up in one sentence that left a room. You can’t automate what isn’t structured.
Many African founders will be aware of some aspect of this situation. Data resides in various tools. The process exists in chat and memory. Customer records are spread across notebooks, phones, and spreadsheets. The reality is that rushing artificial intelligence projects won’t solve the mess. Multiply that.
PressOne has always taken structure seriously. Still, before writing a single line of code for Juliet, the company had to dig deeper. The team pulled data from various systems to create a clearer view. They tightened the definition and filled in the gaps. Top agents have documented answers that were previously circulated in private messages. They detailed the journey from first contact to usage and agreed on what success meant for each type of customer. For companies that have not yet undertaken this level of work, this preparation is the most difficult and most important step.
Only after that did I understand the meaning of Juliet.
Now, when a small retailer in Ibadan or a logistics company in Abuja needs help at 2am, Juliet is awake. She provides the same guidance and learns from every interaction that a powerful human agent would give. Each time she answers, the system becomes a little clearer. The company isn’t just moving fast. Become smarter.
The lesson for leaders watching from the sidelines is not that every company has to build its own Juliet. The lesson here is that artificial intelligence only works if it is grounded in clear thinking. From PressOne’s journey, Mayowa reiterates three rules.
Let’s start with a boring but expensive problem. Long response time. repeated questions. Confusing onboarding. These aren’t glamorous, but they quietly destroy trust and funding.
Measure what matters. Understand how many customers you’re serving, how long they’re waiting, where problems are occurring, and what delays are costing you. Without honest numbers, artificial intelligence remains an interesting story and not a practical tool.
Document and correct data before modifying the model. No model will save you if the logging is loose and the process exists only in the heads of a few heroes. Just automate the mess.
Beneath these rules is a deeper shift in how African founders must view themselves. Many were taught to worship the hustle. The CEO never sleeps, attends every meeting and approves every small decision. That energy is helpful at first. After that, it becomes a ceiling that quietly stops the company from growing.
At PressOne, Mayowa has changed his role. His job is no longer to sit in the middle of every conversation with customers. His job is to build systems that work even when he’s not in the room. Juliet is one such system. she doesn’t get tired. she hasn’t forgotten. She does not request reimbursement for transportation expenses. She also forces the company to make the best knowledge visible, clear, and teachable.
That’s why Babcock’s story matters not just in the classroom, but in the boardroom as well. This is not a fairy tale about smart bots. This is a simple path that any serious business can follow. Let’s face the real numbers. Admit where your playbook is failing. Perform the quiet work of fixing your processes and enriching your data. Then use artificial intelligence to augment the intelligence you already have.
PressOne Africa is already living in that future. The real question for all readers of this page is simple. Do you want to keep hiring and patching broken systems, or do you want to do the hard work that finally makes human and artificial intelligence worthy of the name? Juliet is an example of what is possible on the other side of that choice.
