Somewhere in Lagos, an autonomous intelligent worker just resolved a billing dispute for a bank customer. It authenticated the caller, traced the transaction through two systems, identified a duplicate charge, initiated the reversal, and sent a confirmation receipt on
WhatsApp.
It took two minutes. No human was involved, No ticket was created, and No queue was joined.
The company behind it is Grace AI Labs. And what they’re building is not a chatbot.
Autonomous Intelligent Workers.
The distinction is everything. A chatbot follows a script. It recognises keywords. It says “let me transfer you to an agent” and drops you into a queue. It’s a digital receptionist at best.
Grace AI Labs builds something fundamentally different: autonomous intelligent workers goal-oriented agentic systems that receive an objective, plan a sequence of actions, connect to real business systems (CRM, ERP, core banking, payment platforms), execute those actions, and adapt in real time until the objective is achieved. The worker doesn’t wait for the next instruction. It pursues the goal. It decides, acts and resolves.
Inside the Architecture
Grace AI Labs runs on what it calls a goal-oriented agentic architecture a multi-layered system where autonomous intelligent workers operate in coordinated teams, not as isolated bots.
The first layer is the Autonomous Front Door. This is the system’s general intelligence handling the 75% of interactions that are routine. It understands English, Pidgin, Yoruba, Hausa, and Igbo. It processes 50 concurrent conversations. It responds in under two
seconds. And it decides, in real time, whether to resolve the issue itself or route it to a specialist.
The second layer is the Specialist Network. Six to eight domain-specific autonomous workers, each with deep expertise. In banking: a disputes specialist, a cards specialist, a loans specialist, a foreign exchange specialist. Each one connects to the exact systems it
needs. Each one operates within defined guardrails. When the Front Door routes a conversation, it passes the full context so the specialist already knows everything.
The third layer is the Human Intelligence Layer. For the 5% of cases that demand human judgment, the system escalates. But the human doesn’t start from scratch. They receive an AI-compiled intelligence briefing: full conversation, every system already checked, recommended resolution, and a draft response. An autonomous co-pilot operates alongside them, providing real-time research and execution support.
The customer never repeats themselves. The resolution never stalls. The architecture never sleeps
“We don’t build chatbots. We deploy autonomous intelligent workers that learyour business, connect to your systems, and resolve problems end-to-end. Six specialists working together. And when a human is needed, that human arrives already knowing everything.” — Divine Matthew, Founder & CEO, Grace AI Labs
Pan-African by Design
Ultimately, Grace AI Labs isn’t solving one problem for one industry. The goal-oriented agentic architecture is designed to be vertical-agnostic and continent-ready.
In banking, their autonomous workers handle disputes, card management, loan applications, and fraud detection. In telecoms, they manage network complaints, SIM operations, and billing enquiries. In hospitality, they take orders, manage reservations, and coordinate deliveries on WhatsApp around the clock. In government, they power citizen service helpdesks that route enquiries to the right agency. In insurance, they process claims from first report to settlement.
Every deployment runs on the same agentic architecture. The intelligence layer adapts. The goal-orientation remains constant.
And with the CBN’s March 2026 mandate now requiring all Nigerian financial institutions to deploy AI-powered AML systems within 18 months, Grace AI Labs has added compliance-grade autonomous workers for fraud detection, sanctions screening, and regulatory reporting to the platform
The Team
Founder & CEO Divine Mattew leads Grace AI Labs . The board is chaired by Dan Walkovitz, a Silicon Valley veteran with a Stanford MBA, 45 years of experience, and eight companies founded. The leadership includes Erigha Henry, Chief Growth Officer, with 19 years in IT, sales, and telecom across West and Central Africa; Tereigh Ozakpo, leading B2B/B2C sales, marketing, and business development; and Onyedikachi Ozoani, AI Engineer, heading web and mobile application development.
The company is live in Lagos with hospitality and retail clients, and in active enterprise
conversations with major banks, telecoms, and state governments.
The Future Isn’t Automated. It’s Autonomous.
Automation follows rules. Autonomy pursues goals. That’s the line Grace AI Labs has crossed.
While the rest of the market is still selling chatbots with better scripts, Grace AI Labs is deploying autonomous intelligent workers that think, decide, and act across Nigerian and African enterprises.
The architecture is live. The workers are deployed. The industries are shifting.
And this is just the beginning.
Grace AI Labs is based in Lagos, Nigeria.