Meeting 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.
Establishing governance structures, standards, controls, and accountability mechanisms for technology products and organizations.
Designing and assessing systems so that personal and sensitive data is handled appropriately throughout its lifecycle.
Connecting AI engineering, evaluation, governance, safety, transparency, and accountability throughout the AI lifecycle.
Identifying and controlling foreseeable risks arising from the way products, automated systems, and connected technologies behave.
Establishing organizational and technical controls for managing cybersecurity risk across technology systems.
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.
ViewThe 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.
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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Decra AI
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