What are your thoughts?

Guest: Ambassador Philip Thigo - The Special Envoy on Technology for Kenya

AI hype is loud, but the real question is quieter: are we building the infrastructure that makes AI work for us, or are we stuck as permanent users of other people’s systems? I’m joined by Ambassador Philip Thigo, the only African tech envoy, to unpack what “AI is infrastructure” means from a Kenyan and African perspective and why that framing changes everything from investment to regulation.

We break down the AI stack in plain language: compute, data, talent, use cases, and model innovation, including the hard truth that many African languages are missing from today’s dominant models. Philip argues that talent is the shortest path to sovereignty, particularly for countries that cannot realistically own massive compute or hyperscale datasets. We discuss small language models, local context, and why being a builder matters, with vivid examples such as flood prediction and the type of granular data that global models often overlook.

From there, we zoom out to the money and the power. Why do investors keep funding only “the model,” and what returns exist in energy, infrastructure, and applied AI use cases? How do development banks catch up when AI moves faster than traditional timelines? We also tackle data localization versus real data governance, the value of data, and the information battlefield of misinformation and disinformation, including the need to label synthetic content and raise the economic cost of harm.

If you care about Kenya’s AI strategy, Africa’s AI future, AI policy, data governance, and tech diplomacy, this conversation is for you. Subscribe, share this with a friend who’s building, and leave a review with your biggest takeaway.

Credits
Host:

• Stella Gichuhi

Producer:

• James Njoroge

Executive Producers:

• Harry Hare
• Agutu Dan

What are your thoughts?

Guest: Serge Blockmans - Independent Advisor | Change Management

Go live is a moment. Transformation is a behavior change that survives the moment.

I sit down with Serge Blockmans, who helped bring SAP and ERP into the East African market, to revisit what digital transformation looked like in Kenya before the term became fashionable. Back then, organizations wanted controls, governance, and trustworthy data, not buzzwords. That foundation still shapes today’s ERP implementation decisions across finance, procurement, logistics, HR, and payroll.

From there, we get honest about why so many programs stall after the system launches. Serge makes the case that “best practice” can become a convenient excuse to skip business analysis, process design, and real ownership. We delve into why a PMO is still often treated as optional, why change management is sometimes confused with project management, and how resistance to change can manifest in various settings, from boardrooms to procurement committees to frontline super users.

Then we step into AI transformation. Embedded AI in SAP and ERP often resembles an advanced form of robotic process automation: faster tasks, fewer clicks, quicker analytics. However, if your processes and data are disorganized, AI can exacerbate the mess even faster. We also explore agentic AI, native AI apps, and the uncomfortable truth that your organization remains legally accountable even when an “autonomous” workflow makes the call.

If you lead technology, transformation, or operations, you’ll leave with clearer definitions of success, sharper questions to ask before buying tools, and a strong reminder to protect the change management budget.

Subscribe, share this episode with a colleague, and leave a review with the biggest people challenge you’ve seen in transformation.

Credits
Host:

• Stella Gichuhi

Producer:

• James Njoroge

Executive Producers:

• Harry Hare
• Agutu Dan

What are your thoughts?

Guest: Justice Mukaro - Founder of Strateji & Zimbabwean entrepreneur

What happens when Africa stops importing assumptions and starts exporting standards? We sit down with founder and computer scientist Justice Mukaro to unpack a bold, practical plan for sovereign AI: Amanzi Cloud, a decentralized infrastructure designed to keep data local, cut costs, and connect every country into one living network.

Justice’s water metaphor makes complex systems feel simple. Traditional hyperscalers are like dams; Amanzi is a network of boreholes—nodes in data centers, institutions, and smaller machines—linked by secure “pipes” that track flow, prevent leaks, and respect each nation’s laws. That shift unlocks data sovereignty without isolation, enabling cross-border collaboration, fair pricing for builders, and privacy-first compute that aligns with global trends toward decentralization. From a chance intro to a data center tour to a new partnership, we map how relationships move pilots from pitch to reality.

We also go deep on the human side of infrastructure: how Afrocentric tech means more than branding; why educating through product beats slide decks; and what it takes to be a diplomatic innovator who can talk policy on Monday and ship code on Tuesday. Justice traces Strategy’s pivots—from WhatsApp-native surveys to dataset curation to hardware-aware cloud design—showing how mission fidelity and flexibility can coexist. The stakes are clear: if Africa doesn’t feed its context into AI, the systems shaping daily life will misread the continent and harden those errors at scale.

Walk away with a clear mental model for decentralized cloud, concrete steps for building sovereign data pathways, and founder-grade lessons on partnerships, pricing, and courage. If you care about AI ethics, privacy, and equitable growth—from Nairobi to Harare to Lagos—this conversation is a roadmap and a rallying cry.

Subscribe, share with a builder or policymaker in your circle, and leave a review telling us: what’s the first node your community needs?

Credits
Host:

• Stella Gichuhi

Producer:

• James Njoroge

Executive Producers:

• Harry Hare
• Agutu Dan