Applied AI Operator. Forward Deployed.
15+ years turning ambiguity into AI systems that run in production — not in demos.
01 · About Daria
I've spent more than a decade turning ambiguity into structured execution — in operations, revenue, and increasingly, in AI-powered workflows. My work doesn't end with a deck or a prototype that impresses in a meeting: it ends when the system runs on its own inside the real business.
I've built local operations from scratch as Country Manager, redesigned cross-functional processes as Chief of Staff, and operationalized LLMs and agents inside the Go-to-Market engine. I've led teams of 25+ people, and my output is always a defined, implemented process — a workflow, a playbook, a system — never just a recommendation.
Method
My first job is defining the system: inputs, KPIs, points of friction. What isn't instrumented can't be improved.
Applied AI
An agent that doesn't live inside the real workflow generates no value. I design for production from day one.
Judgment
I decide with data, but a decade operating in LATAM helps me understand what the data doesn't show yet.
02 · Measurable impact
03 · Track record
04 · Specialties
05 · Case studies
The challenge: take AI from "interesting demo" to a real part of the commercial engine. I designed AI Agent workflows for outreach, research, and lead qualification, and built an LLM-operated Sales Wiki as the team's source of truth. Result: AI embedded in the daily Go-to-Market workflow, not an isolated experiment.
Cross-functional processes were the main source of operational friction. I redesigned the QA system and end-to-end processes, and introduced automation on repetitive tasks. Result: error rate down from 10% to 2.4% and +25% efficiency.
Mandate to build and scale B2B sales across the region from the co-founding stage. I stood up commercial operations, closed enterprise deals with key regional clients, and sustained 150–200% year-over-year growth.
06 · Education & Recognition
Let's talk
I work with teams that need someone who embeds, understands the business, and doesn't leave until the system — human or AI — actually works.