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Paystack Rebuilds Its Merchant Dashboard From the Ground Up With AI at the Centre

Paystack has launched its first full dashboard rebuild in nearly a decade, introducing an AI-native Command Centre that lets merchants ask plain-language questions about their payments, revenue, and operations and receive direct, data-grounded answers instantly.

By AI Watch MENA Staff · June 1, 2026
Paystack Rebuilds Its Merchant Dashboard From the Ground Up With AI at the Centre

Key Takeaways

African fintech company Paystack has completed the most significant overhaul of its merchant-facing product in nearly ten years, launching a fully rebuilt dashboard that places artificial intelligence at the centre of how businesses interact with their payment data. Announced on 21 May 2026 in Lagos, the new Paystack Dashboard was built from scratch using the company's internal design system, Pax. More than 300,000 organisations across Nigeria, Ghana, South Africa, Kenya, and Cote d'Ivoire use Paystack's platform daily, including startups, enterprises, SMEs, and government agencies. The rebuild reflects a broader shift in how enterprise software is being designed: away from static reporting interfaces and towards AI-native systems that answer questions rather than display data.

The AI Command Centre

The centrepiece of the new platform is an AI-native Command Centre embedded directly into the dashboard. Rather than navigating through multiple reporting pages, merchants can now type a question in plain language and receive a direct, contextual response grounded in their own verified payment data.

Questions the system can answer include what happened with a specific transaction, why revenue is lower this week, which payment channels are performing best, and what trends are affecting settlements or disputes. Responses are delivered as text summaries, charts, or structured tables depending on what format best serves the query. The system combines GPT models, structured data retrieval, and visualisation tools to determine the most relevant output format automatically.

Dara Assim-Ita, Senior Product Designer at Paystack and lead on the rebuild, described the design principle directly: "Businesses don't come to their dashboard because they want to click through pages. They come because they have questions." The goal was to make the dashboard feel less like a static reporting tool and more like an intelligent command centre that helps merchants understand what is happening, find what they need faster, and make better decisions.

That framing is significant. It represents a deliberate move away from the dashboard-as-display-surface model that has dominated enterprise software for two decades, towards a conversational AI layer sitting directly on top of verified business data. For enterprise technology leaders across the MENA region evaluating how to embed AI into their own products and workflows, Paystack's approach is a practical and well-documented reference point.

What Was Built and How

The rebuild introduced a simplified two-section product architecture covering payments and products, designed to reduce navigation complexity as Paystack scales its broader commerce offerings. The platform now delivers full feature parity across desktop and mobile, including dark mode. Analytics and navigation systems were strengthened to give merchants clearer visibility into payment performance, settlements, disputes, and operational metrics.

To power the AI layer, Paystack built an internal service called Project Canvas API, which manages conversations, connects to AI model providers, and integrates with existing platform systems. Given that the dashboard processes sensitive financial and payment data, the company conducted a Data Protection Impact Assessment and extensive adversarial testing before launch, working closely with its internal data protection and privacy team. All AI responses are grounded in verified merchant data and screened against compliance and safety requirements before being returned to users.

"We are at a point where artificial intelligence is rapidly becoming integral to how businesses operate," Assim-Ita said, "and Paystack is committed to being on that curve for our merchants."

A Signal for the Region

While Paystack operates primarily across Sub-Saharan Africa, the product direction it has taken carries clear relevance for fintech and enterprise software teams across Saudi Arabia, the UAE, and the wider Gulf. AI-native product design, where the intelligence layer is embedded in the workflow rather than added as a separate tool, is increasingly the standard that enterprise buyers will expect. Payments infrastructure, merchant analytics, and financial operations platforms across MENA are facing the same design question Paystack has now answered for its market.

The new Paystack Dashboard is available to merchants now at dashboard.paystack.com/v2.

 

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