Saakshi Saggu works at the centre of NakedAI’s internal intelligence and operational coherence, maintaining the systems that allow complex work to remain structured, traceable, and usable over time.

 

Following the completion of her studies at Lady Eleanor Holles School, where she focused on English Literature, Psychology, and History of Art, Saakshi joined NakedAI during a period of active build and expansion. Since then, she has taken responsibility for the firm’s knowledge infrastructure, consolidating research, transcripts, decisions, and analytical artefacts into a single, coherent operating system.

 

She designs, maintains, and governs the firm’s internal knowledge environment — supporting client work, internal coordination, architectural thinking, and long-term learning. This includes managing complex transcript workflows, structuring decision records, and ensuring that insights generated across engagements are not lost, duplicated, or fragmented.

 

Alongside this responsibility, Saakshi works closely with Malcolm Maxwell as part of her architectural training, developing deep familiarity with AI concepts, system logic, prompting structures, and analytical frameworks. Her role is not observational: she is embedded in the work, learning how decisions translate into architectures, how assumptions introduce risk, and how governance must be carried through systems rather than described abstractly.

 

Within the firm, Saakshi is relied upon to maintain continuity across fast-moving work, to spot inconsistencies, and to surface gaps before they become structural problems. Her contribution is deliberately behind the scenes, but foundational: ensuring that NakedAI’s thinking remains disciplined, cumulative, and operationally sound.