The new dashboard, launched today, is the company’s first significant redesign since Paystack began operations. The fintech now serves more than 300,000 businesses across Nigeria, Ghana, South Africa, and other African markets, processing trillions of naira in transactions every month.
Rather than simply refreshing the interface, Paystack appears to be rethinking how merchants interact with financial data altogether. The company says the rebuilt platform is designed to function less like a traditional reporting tool and more like an intelligent business assistant capable of answering natural-language questions about transactions, customer behaviour, and revenue trends.
The launch comes at a pivotal moment for the company. Just five months ago, Paystack announced a major organisational restructuring with the creation of The Stack Group, a holding company established to oversee expansion into emerging technologies and products beyond traditional financial services.
“We’re not moving away from financial technology. We’re expanding our scope. Emerging technologies could include AI or stablecoins. The mandate is to solve both fintech and non-fintech problems that are critical to Africa’s digital future and development,” Chief Operating Officer Amandine Lobelle said at the time.
That announcement also marked another important milestone for the company: profitability. In an ecosystem where African startups have faced mounting pressure from investors to prioritise sustainable growth over aggressive expansion, Paystack’s profitability signaled a maturing business model after years of venture capital-backed scaling.
Built for Africa’s Mobile-First Businesses
The redesign reflects a deeper understanding of the realities facing many African merchants. Across the continent, a large share of businesses operate informally or on a small scale, with smartphones often serving as their primary business infrastructure. From tracking inventory to communicating with customers and receiving payments, entrepreneurs increasingly manage operations from mobile devices rather than traditional desktop systems.
Over time, Paystack’s dashboard expanded to accommodate new payment channels, analytics tools, settlement systems, integrations, and operational features. But with growth came complexity. For many merchants, navigating multiple workflows became increasingly cumbersome, especially for business owners focused more on understanding daily business performance than mastering software systems.
The company says the new dashboard is intended to simplify that experience.
One of its standout features allows merchants to ask direct questions about their businesses in plain language. Instead of manually sorting through charts or transaction logs, users can now type prompts such as “Why is revenue down this week?” or “What happened with this transaction?” and receive responses in written summaries, visual charts, or structured tables.
“As with all things that we do at Paystack, it’s really just from listening to our merchants, understanding what works for them, what they need right now, and the challenges they’re facing,” said Dara Assim-Ita, a senior product designer at Paystack.
According to Assim-Ita, merchants are demanding deeper operational insights rather than simply checking daily earnings figures.
“Merchants can now simply ask, ‘What happened with this transaction?’ or ‘Why is revenue down this week?’ and get a direct answer. The goal is to make the dashboard feel less like a static reporting tool and more like an intelligent command centre — one that helps merchants understand what’s happening, find what they need faster, and make better decisions,” she explained.
AI Moves From Hype to Business Infrastructure
Paystack’s launch also reflects a wider shift taking place across Africa’s technology ecosystem, where artificial intelligence is increasingly moving from experimentation to practical business deployment.
Over the last three years, AI has transformed from a niche area of technical interest into a central boardroom conversation globally. But while discussions in Western markets often focus on frontier models, infrastructure races, and research breakthroughs, African businesses are approaching AI from a more operational standpoint.
Companies across sectors are exploring how the technology can improve customer support, automate internal processes, optimise logistics, enhance fraud detection, and strengthen financial services.
Research from McKinsey indicates that more than 40% of organisations in Africa are already experimenting with generative AI or implementing AI-driven systems in some capacity. The focus, however, remains largely practical: improving efficiency and solving immediate business problems.
Earlier this year, Paystack hinted that AI would become central to its long-term strategy when it launched The Stack Group. One of the group’s subsidiaries, TSG Labs, was specifically created to experiment with AI-powered products while shielding Paystack’s regulated financial services operations from potential compliance risks tied to emerging technologies.
The newly launched dashboard now appears to be one of the first public manifestations of that strategy.
Paystack disclosed that it relied on OpenAI’s models while simultaneously building internal systems for data retrieval, visualisation, and conversational management. The company also developed a proprietary internal infrastructure known as Project Canvas API, which coordinates conversations between merchants, AI models, and Paystack’s existing backend systems.
Importantly, the company says safeguards were built into the system to ensure that responses remain grounded in actual merchant data rather than generating inaccurate or fabricated outputs. According to Paystack, outputs are screened for safety and compliance before being shown to users, while extensive adversarial testing was conducted before launch to improve consistency and reliability.
African Businesses Still Proceeding Carefully
Despite growing enthusiasm around artificial intelligence, adoption across African businesses remains cautious. Many companies continue to weigh concerns around trust, regulation, data privacy, and operational reliability before fully integrating AI into critical workflows.
Still, industry leaders increasingly acknowledge that delaying experimentation could create long-term competitive disadvantages.
Several Nigerian fintech companies are already embedding AI into operational systems. Lending infrastructure provider Lendsqr, for example, has previously disclosed that it uses AI-assisted systems in lending decisions, including the analysis of customer voice and facial data.
Regulators are also paying attention. A report from the Central Bank of Nigeria noted that fintech firms in Nigeria are increasingly deploying artificial intelligence for fraud prevention, automated customer service, and credit scoring.
For Assim-Ita, caution is understandable — but waiting indefinitely may not be sustainable for businesses hoping to remain competitive in a rapidly changing digital economy.
“The caution makes some sense, but we need to start testing slowly because over time, it’s going to become inevitable.”