Building the product, and proving it holds. Company and product structuring, the engineering itself, and the testing and audit work that shows what was built behaves the way it was specified to.
Standing up the company and the system, and deciding what gets built in what order.
Deciding what gets built and in what order, with the technical and legal consequences of each choice visible before it is made rather than after.
Standing the company up properly: incorporation, ownership, and the founding documents the product and its investors will later be read against.
Designing secure, reliable, maintainable, and scalable systems from application components through infrastructure.
Assessing and designing the application layer across frontend, backend, APIs, services, and user-facing systems.
Designing how systems store, relate, process, protect, move, and retrieve data.
Designing and evaluating the interfaces and integrations through which systems communicate.
Designing the infrastructure and deployment systems required to run technology reliably in production.
Designing AI-enabled systems around models, data, prompts, retrieval, automation, evaluation, and human oversight.
Designing computational logic, automated decision systems, rules engines, and optimization processes.
Designing and assessing systems that connect software, devices, sensors, networks, and physical-world processes.
Establishing what the product actually does under load, under failure, and under attack.
Testing whether products behave as intended across normal, exceptional, and real-world user scenarios.
Evaluating websites and web applications across functionality, structure, performance, compatibility, and resilience.
Testing the technical interfaces and infrastructure that support applications in real operating conditions.
Determining how systems behave under realistic and increasing workloads.
Challenging systems against failures, dependency outages, inconsistent states, and unexpected operating conditions.
Thinking like an attacker, manipulator, or unusual user to identify weaknesses in product logic and system behavior.
Testing AI systems for accuracy, reliability, consistency, safety, failure modes, and appropriate human escalation.
Assessing security controls and system boundaries to identify weaknesses and strengthen the product's security posture.
The formal view, for a board, an acquirer, or an investor.
Bringing technical, operational, legal, privacy, security, and regulatory findings together into an actionable risk assessment.
Examining technology products, systems, code, infrastructure, AI, intellectual property, and risks before investment, acquisition, or strategic decisions.
The product read as a legal object: what it promises the people using it, whether that holds up against the law it is actually subject to, who owns what inside it, and the agreements it reaches the market on.
ViewMeeting the rules a product is actually judged against: governance and standards, data protection, responsible AI, product safety, and security, read against the sector the product operates in.
ViewOngoing counsel from inside the product team rather than from outside it, reaching across the technical work, the legal work, and the compliance obligations at once, for as long as the engagement runs.
ViewWritten and published work on how technology should be governed in Africa, and an open door for an opinion on a question you are working through.
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