Not another generic chatbot. We design custom AI agents that read your real data, talk to your real team, and run beside your humans — built for the way African companies actually work.
Every interaction here is run by the AI workforce we'd build inside your business — qualifying you, drafting your proposal, opening your channel. The pilot (Pako) flies in after the radar (AI) has done its work.
If you want to know what an AI workforce inside your business feels like — sign up. You're already inside ours.
Most "AI consultancies" sell you a tool. We sell you a workforce.
An African company doesn't need another SaaS dashboard with English-only support and pricing in dollars. It needs systems that read your databases, talk to your team, and do the boring work a human would otherwise spend half their week on.
So we build them. Custom. Per company. Embedded inside the tools you already use.
Every existing person on your team keeps their role, their seniority, and their decision authority. AI agents are deployed to absorb the workload that growth would otherwise force you to hire for.
AI is the radar. The pilot still flies the aircraft and gives the order.
HR, Finance, Sales, Operations — each gets its own three-tier pipeline that reads your real data, runs daily, and posts plain-language briefings into a chat layer your humans already check.
Agents that handle account lookups, FAQs, and account changes 24/7 — connected to your real subscriber database, not a static knowledge base. We've shipped one running nationally.
Web platforms, Android apps, real-time dashboards, payment integration, multi-tenant databases, internal chat — wired into one cohesive system on your infrastructure. We've shipped multi-branch retail networks, multi-tenant payroll services with full Ghana PAYE/SSNIT compliance, and full IPTV streaming operators with national rollout. Whatever your business actually runs on, we build the platform that runs it.
Email-to-ticket. Payment-to-receipt. Signup-to-CRM. Attendance-to-payroll. We connect every tool you already pay for into pipelines that run themselves — with AI agents handling the judgment calls in the middle. If your team is doing it twice a day, we automate it.
Builder, not only consultant — every system on this page was shipped under direct technical authority.
Mohammad Munir Ahmed — known as Pako across the projects he ships — has spent two decades engineering communications infrastructure and operational systems across the Middle East, the Levant, and West Africa.
He started in Riyadh in 2006 at Azan Soft, working on Saudi Arabia's first Interactive Digital Terrestrial Television framework. He spent the next phase of his career in Lebanon as General Manager of Cable FAYHAA and Cable SAT, leading the network's full migration from analog through DVB-C to IPTV over fibre — alongside a subscriber management rollout and a Vocalcom-powered contact centre running Orange Telecom's offshore customer care.
In Accra, he turned that career into a business of his own. He founded Ghana's first legally-licensed IPTV operator — and built it ground-up: the streaming platform, the encrypted delivery, the Android apps, the channel acquisition, and the distribution deal with Telecel Ghana. Inside IPAfricaTV, that foundation runs an internal AI workforce: ten departments, sixty-eight AI roles, eight live data streams, every consequential decision gated by a named human sign-off.
Alongside building IPAfricaTV, he returned to academic work. He's currently a PhD candidate in AI Engineering, focused on autonomous AI systems for media and operations.
For other African businesses, he now ships the same patterns he proved on his own infrastructure: a multi-tenant payroll platform serving 800+ employees with full Ghana PAYE/SSNIT compliance; an integrated POS, attendance, and AI workforce stack for *AvarArc*, a six-branch retail group architected to 60; the multi-tenant chat layer where AI agents post alongside humans.
AI Tech Africa is the consultancy that grew out of that IPTV operation. The doctrine on this page is its founding principle. Pako builds across three time zones, works with engineers and business owners in two languages, and meets every prospect personally inside Connect.
We sit with your team, map your real systems, find the parts a human spends too much time on. You get a written proposal — what we'll build, what it costs, and what it'll look like.
We deploy on your infrastructure or ours. You see the system every Friday. We iterate against your team's actual workflow, not a slideshow. By the end, it's live.
We stay on as the team behind your AI workforce — monitoring, fixing, extending. New department? New agent. Scoped per engagement.
Off-the-shelf tools assume your tax code, your currency, your branch structure, and your support hours. Most don't match what an Accra retailer or a Lagos clinic actually needs.
Read essay →A practical breakdown — which workloads AI absorbs first, what stays with humans, and how to scale capacity without scaling headcount as agents post in the same channels as your team.
Read essay →A snapshot of who's deploying AI, who's stuck on demos, and where the real opportunities sit for builders, founders, and small businesses across the country.
Read essay →Pricing is in USD for clarity. We invoice in your local currency at the day's rate. Paystack and bank transfer accepted. Real numbers, no hidden costs.
A 2-week strategic engagement to map your AI opportunity and produce a build proposal.
Single agents, automations, focused systems. The common entry point — final scope and number agreed inside Connect after Discovery.
Scoped, contracted, founder-led. Multi-month commitments that start with a Discovery before anyone names a number.
Full stacks. Multi-system platforms. Multi-tenant or operator-grade architectures. Number and timeline agreed inside Connect after Discovery — never quoted cold.
For engagements that don't fit the ladder — multi-year strategic partnerships, government and institutional contracts, white-label platform deployments, fractional executive roles. Real conversations, real proposals, no templates.
Open the conversation →Tell us what your team spends too much time on. We'll come back with a real plan to fix it.