Salim Manseur.
Salim Manseur is an enterprise and AI architect who has worked inside regulated industries since 2009: banking and payments, where he architected payment platforms, a national payment switch replacement, and omnichannel banking; and the public sector, where he works today on AI governance and platform architecture.
Across those sectors the work has had one constant: systems that must satisfy more than their users. Payment platforms that answer to schemes and auditors. Public institutions that answer to access-to-information law, privacy regulators, and their boards. AI platforms that answer to all of the above at once.
That experience now converges on a single practice: helping organizations architect and govern AI they can defend. He works in French and English.
One method, composed to fit the work.
Frame
Surface the real question. Align on outcomes, constraints, and what would have to be true for the program to be worth doing.
Map
Diagnose the current state. Map data, systems, decisions and incentives to find where the friction actually lives.
Design
Architect the target state. Choose patterns, sequence moves, and write the artifacts your teams will actually use.
Embed
Stay close while it ships. Coach the team, defend the design, and adjust as reality teaches what the plan could not.
Every engagement composes the same four phases differently. A review may need only Frame and Map; a diagnostic may carry the work through Design; ongoing advisory keeps Design and Embed available as decisions move into delivery.