AI Nativ is a specialist practice for professional services firms that want their operations rebuilt for AI agent execution. We diagnose the operational layer, redesign the parts that block AI execution, and ship one pilot at a time.
Firms are wiring AI tools into operations that were designed to be executed by senior humans. The failure sits in the seam between the two, which was never built for AI agents.
A fixed-fee engagement that maps the operational layer, assesses AI readiness, identifies the highest-leverage pilot, and flags the redesign work that has to happen first. You leave with a decision-grade artifact whether or not we continue.
Rebuild the parts of the operation that block agent execution. This is where most programs skip steps and then fail. The mix of redesign versus AI-fication is set by the diagnosis itself, so the scope follows the evidence.
One agent-executable workflow, shipped and measured. Scale to adjacent workflows after the pilot earns it. Parallel rollouts and platform bets wait until evidence is in.
AI Nativ is led by Dilini Galanga, who has operationalised multiple firms as a fractional COO across the technical, legal, policy, and business layers of this shift.
Years inside Google working on the policies that govern how automated systems make decisions, built in the era before the current AI cycle had a name.
An LLB, non-practicing. The training develops an eye for where operational risk actually sits, which is usually somewhere the client hasn't looked yet.
A parallel practice in UX and product design, where the discipline is shipping systems that people use every day. AI Nativ translates that discipline into the agent era.
Phase I is a fixed-fee engagement that produces decision-grade output, whether or not we continue together.
Book a diagnostic call