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.
Key Takeaways
- ▸Paystack launched a fully rebuilt merchant dashboard on 21 May 2026, its first complete redesign in nearly ten years, built from scratch using its internal design system Pax.
- ▸The new dashboard centres on an AI-native Command Centre that lets merchants ask plain-language questions about transactions, revenue, settlements, and disputes and receive direct data-grounded answers.
- ▸The system combines GPT models, structured data retrieval, and visualisation tools to deliver responses as text summaries, charts, or tables depending on the query type.
- ▸Paystack built an internal service called Project Canvas API to manage AI conversations, connect to model providers, and integrate with existing platform systems.
- ▸A Data Protection Impact Assessment and adversarial testing were completed before launch, with all AI responses screened against compliance and safety requirements before delivery to users.
- ▸More than 300,000 organisations across Nigeria, Ghana, South Africa, Kenya, and Cote d'Ivoire use Paystack's platform daily.
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.
Related Articles
Dubai Police AI Platform Delivers 200 Percent Jump in Response to Women's Protection Reports
Dubai Police has recorded a 200 percent increase in response rates to women's protection reports after upgrading its reporting platform with AI powered instant assistance and voice recording technology.
Jul 21, 2026
IntelligenceChina Announces New Global AI Governance Body as Xi Calls for International Cooperation Framework
Chinese President Xi Jinping has announced the creation of the World Artificial Intelligence Cooperation Organization, a new body with 29 founding member countries aimed at building coordinated global AI governance, with plans to include the League of Arab States among its regional partners.
Jul 20, 2026
IntelligenceOmniOps and Hamsa Partner to Bring Sovereign Arabic Voice AI to Saudi Enterprises
OmniOps and Hamsa have formed an exclusive partnership to deliver production ready Arabic voice AI to Saudi enterprises through locally hosted, sovereign infrastructure built for regulatory compliance.
Jul 15, 2026
IntelligenceSaudi Deeptech Startup Think Closes MENA's Largest AI Infrastructure Pre-Seed Round at $8 Million
Riyadh based deeptech company Think has closed an $8 million pre-seed round, the largest AI infrastructure and deeptech pre-seed raise in MENA to date, to scale a platform designed to cut AI compute costs by up to tenfold.
Jul 15, 2026
IntelligenceFormer INTERPOL President Ahmed Naser Al-Raisi Joins Neurovia AI to Build Sovereign AI Infrastructure in the UAE
H.E. Ahmed Naser Al-Raisi, former President of INTERPOL, has been appointed Chairman of Neurovia AI, strengthening governance oversight as the company builds sovereign AI infrastructure across the UAE and wider GCC region.
Jul 14, 2026