InLocus AI
Executive IC / fractional Chief AI Officer advisory for leadership teams—~70% strategy, ~30% guiding and execution—across AI Security & Governance and Agentic AI Transformation. We deliver selectively with the goal of making teams self-run.
The problem
AI-generated code increases speed but can also increase technical debt.
Teams adopt AI tools without shared operating models.
Legacy systems are not designed for agentic workflows.
Product roadmaps are not aligned with AI-native capabilities.
Governance, compliance, and security are often afterthoughts.
Leaders lack visibility into whether AI adoption is improving outcomes.
Positioning
~70% strategy. ~30% guiding and execution. Two equal practices. Goal: teams that can run without us.
Services
Equal weight. Pick a track—or engage both.
AI and agentic security, threat modelling, and governance—so leadership can scale AI with trust and control.
Executive risk posture for models and AI systems: exposure, control objectives, and investment priorities across the model lifecycle.
Outcomes: Risk posture brief · Control objectives · Investment priorities · Executive hardening agenda
Board- and leadership-ready AI threat models covering prompt injection, tool misuse, data leakage, and unsafe automation paths.
Outcomes: AI threat model · Risk register · Mitigation priorities · Design decision guide
Design AI governance that executives can run: decision rights, evaluation, auditability, privacy, and operational accountability.
Outcomes: Governance framework · Decision rights · Monitoring model · Documentation standards
Strategy for securing autonomous agents: failure modes, detection signals, guardrails, and response ownership before scale.
Outcomes: Agent risk model · Detection strategy · Guardrail policy · Response ownership
Engage
Intro call, strategy sprint, then fractional advisory. Strategy-first—with selective delivery only where it helps teams become self-run.
Align on goals, risk appetite, and whether Security & Governance, Agentic AI Transformation, or both is the priority.
An executive brief covering threats and controls, strategic bets, architecture implications, and a decision agenda.
Ongoing executive IC support across both practices—with selective delivery when needed, aimed at teams that can run without us.
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About
InLocus AI is dual-led: Agentic AI Transformation and AI Security, Compliance & Governance—strategy-first advisory with selective delivery so teams become self-run.
Agentic AI Transformation
Partners with leadership as executive IC / fractional Chief AI Officer—~70% strategy, ~30% guiding and execution. Background spans academia, startups, and enterprises—agentic systems, AI change management, recommender systems, search, fraud detection, and related deep-learning domains.
Security, Compliance & Governance
Leads the security, compliance, and governance practice—AI risk, control frameworks, audit readiness, and operating models that keep agentic systems trustworthy at scale. Security Architect with experience across data centres and physical security, banking and fintech, spanning startups as well as banks and large enterprises; M.Sc. from École Polytechnique de Montréal.