About

The Builder Behind the Agents

I'm Christina — an AI governance leader and agent builder who believes responsible AI and real innovation aren't opposites. They're the same goal.

Background

From governance to production AI

I work at the intersection of AI governance, agentic AI, and enterprise transformation. As the AI Governance Point of Contact at Foot Locker, I've built the frameworks, review processes, and agent standards that help organizations adopt AI with confidence: not recklessness.

What drives me is the gap between AI's potential and what enterprises can actually trust in production. I close that gap by designing governance structures that let low‑risk initiatives move fast while ensuring high‑risk systems get the scrutiny they deserve.

CIAI Labs is where I build. Every agent in this portfolio comes from real problems I've encountered: workflow drag, knowledge silos, compliance overhead, sprint chaos, and the systems I've designed to solve them.

Technical Skills

What I work with

AI & LLMs

  • Microsoft Copilot Studio
  • Microsoft AI Foundry
  • Claude (Anthropic)
  • GPT-based Models
  • Prompt Engineering & Agent Design
  • Fine-tuning & Grounding with Enterprise Data

Agent Architecture

  • RAG Systems
  • Tool Use & Function Calling
  • Multi-step Reasoning
  • Memory & Context Management
  • Agent Orchestration

Data & Infrastructure

  • Microsoft AI Foundry Orchestration
  • Atlassian Jira Cloud + MCP
  • Microsoft Teams
  • Enterprise Authentication via Entra ID
  • Jira REST API + JQL

Integrations

  • Atlassian Jira Cloud (MCP)
  • Jira REST API
  • Microsoft Teams
  • Miro + Figma
  • Confluence
  • Secure API Authentication via Entra ID
Experience

Where I've worked

AI Governance Point of Contact & Lead Agile Coach

Foot Locker

2023 — Present

Serving as the enterprise AI Governance Point of Contact since 2026, leading AI governance and responsible adoption across the organization. Led the evolution of an enterprise AI Review Board, establishing a risk-based governance framework for evaluating AI tools, generative AI use cases, model risk, security, privacy, legal, and compliance considerations. Designed AI assessment artifacts, intake processes, risk matrices, and AI Use Case Cards to improve transparency and stakeholder alignment. Authored governance recommendations for enterprise AI agents, defining an open creation, trusted verification model and establishing agent lifecycle, ownership, testing, and promotion standards. Also serving as Lead Agile Coach since 2023, guiding teams and leaders on delivery practices and organizational agility.

Enterprise Development Coach

Khoros

Prior Role

Coached leaders and organizational change agents across multiple Agile transformation initiatives to facilitate the vision and strategic goals of the enterprise. Implemented value streams to improve product delivery, created internal assessments and tools to measure value stream performance, and transformed organizational culture through workshops, leadership coaching, and continuous learning initiatives.

What I believe

How I think about AI

I treat AI agents as full-fledged products — built with purpose, measured by outcomes, and managed across a complete lifecycle. Their success depends on continuous verification of cost and deliberate cost optimization woven into every phase, ensuring they deliver sustainable value at scale.

01

Strategy & Design

Define the customer problem, explore ideas, and design the agent's role and responsibilities. Cost verification begins here — validating feasibility, estimating operational impact, and ensuring the solution is worth building.

02

Build, Test & Launch

Develop the agent, integrate systems, and rigorously test for quality, safety, and performance. Cost optimization is embedded throughout development and validation, ensuring the agent launches with efficient architecture and predictable operating costs.

03

Operate, Improve & Evolve

Monitor performance, gather feedback, refine behavior, and decide whether to extend, evolve, or sunset the agent. Ongoing cost measurement and optimization ensure the agent continues delivering value long after launch.

Let's build something together

Looking for an AI engineer who can take a project from concept to production? I'd love to hear about it.

Get in Touch
CIAI Labs

Building intelligent agents for tomorrow.

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