MY EXPERIENCE
AI Visibility Engineer — Azoma.ai
Clients: FMCG Brands (confidential)
Specialized in Generative Engine Optimization (GEO), ensuring enterprise brands and retailers were discoverable across AI-powered search platforms (ChatGPT, Perplexity, Gemini, Amazon Rufus, Walmart Sparky).
Conducted AI visibility audits, analyzing how client brands appeared in conversational AI responses and mapping gaps in citations, authority sources, and competitive positioning.
Developed and implemented optimization strategies for structured data, citations, Wikipedia/Reddit mentions, and knowledge graph alignment to increase AI-driven brand exposure.
Collaborated with marketing, PR, and content teams to generate AI-optimized content (blogs, product listings, UGC, recipes, technical documentation) aligned with brand tone and compliance.
Built dashboards and workflows for tracking visibility, share of voice, and source influence across multiple AI platforms.
Partnered with enterprise clients to localize content strategies and ensure compliance (e.g., FDA/DSHEA in food & health categories).
Helped establish best practices for a new discipline, positioning Azoma.ai as a leader in AI-powered visibility and GEO frameworks.
AI Ethics Product Manager — 2021.AI
AI Strategy & Consulting (Finance, Health, Insurance, and Legal): Collaborated with clients in the finance, healthcare, insurance, and legal industries to understand their business needs and challenges. Developed tailored AI strategies to enhance operational efficiency, streamline processes, and create competitive advantages through AI-powered solutions.
Solution Design & Architecture (Finance, Health, Insurance, and Legal): Designed secure, scalable AI solutions for financial institutions, healthcare providers, insurance companies, and legal firms. Ensured seamless integration with existing systems, ensuring compliance with industry-specific regulations, such as GDPR, HIPAA, and financial services standards.
Technology Evaluation & Implementation (Finance, Health, Insurance, and Legal): Assessed and recommended industry-specific AI technologies, platforms, and tools to meet business needs. Led the implementation of AI-driven solutions, ensuring they adhered to strict regulatory requirements and industry best practices. Managed infrastructure setup, including cloud solutions and on-premises deployments for secure data handling.
AI Model Development & Deployment (Finance, Health, Insurance, and Legal): Developed advanced AI models, including machine learning, deep learning, NLP, and computer vision, specifically tailored for applications in fraud detection (finance), patient diagnostics (health), claims processing (insurance), and contract analysis (legal). Managed the full lifecycle of these models, from training and testing to deployment and continuous optimization to ensure accuracy and compliance with industry standards.
Collaboration & Stakeholder Management (Finance, Health, Insurance, and Legal): Worked closely with cross-functional teams, including data scientists, engineers, compliance officers, and business leaders, to ensure the successful delivery of AI projects. Facilitated workshops and training sessions for stakeholders, providing education on AI methodologies, risk management, and compliance in their respective industries.
AI Ethics & Governance (Finance, Health, Insurance, and Legal): Ensured AI solutions complied with ethical guidelines, data privacy laws (e.g., GDPR, HIPAA), and industry-specific regulations. Promoted transparency, fairness, and responsible AI deployment, particularly in high-stakes areas such as financial decision-making, patient care, claims adjudication, and legal case analysis.
Research & Thought Leadership (Finance, Health, Insurance, and Legal): Stayed current with the latest advancements in AI technologies, trends, and regulatory developments in the finance, healthcare, insurance, and legal sectors. Contributed to thought leadership by publishing whitepapers, case studies, and blog posts. Represented the company at industry conferences and client meetings, sharing insights on the transformative potential of AI in these industries.
AI Product Manager — HELLO FRESH
AI-Driven Ice Forecasting: Developed AI models to forecast the precise amount of ice required in boxes based on SKUs, delivery distance, and weather conditions, significantly improving packaging efficiency and product freshness upon delivery.
Customer Support AI Implementation: Implemented AI models to analyze inbound customer support requests by severity and category. This not only expedited response times but also enabled us to suggest tailored responses and remediation actions to the customer service team, enhancing customer satisfaction and operational responsiveness.
AI for SKU Rationalization: Utilized AI to analyze sales data, customer preferences, and inventory levels to optimize SKU assortment and management. This strategic application of AI supported more informed decision-making, reduced waste, and improved the overall efficiency of inventory management.
At Hello Fresh, my role was pivotal in utilizing AI to enhance operational efficiency and customer service.
AI-Driven Ice Forecasting: Developed AI models to forecast the precise amount of ice required in boxes based on SKUs, delivery distance, and weather conditions, significantly improving packaging efficiency and product freshness upon delivery.
Customer Support AI Implementation: Implemented AI models to analyze inbound customer support requests by severity and category. This not only expedited response times but also enabled us to suggest tailored responses and remediation actions to the customer service team, enhancing customer satisfaction and operational responsiveness.
AI for SKU Rationalization: Utilized AI to analyze sales data, customer preferences, and inventory levels to optimize SKU assortment and management. This strategic application of AI supported more informed decision-making, reduced waste, and improved the overall efficiency of inventory management.
AI PRODUCt Manager — BUMBLE
At Bumble, I harnessed the power of AI to redefine the in-app purchasing experience, spearheading efforts to optimize pricing, payment methods, and user interactions to drive revenue growth. As a pivotal leader, I orchestrated a multidisciplinary team of Pricing Analysts, In-App Purchase (IAP) Analysts, and Fraud Analysts, fostering collaboration with Data Engineers to refine our data infrastructure for AI/ML initiatives. My strategic oversight extended to recruiting top-tier Machine Learning Engineers and leading groundbreaking projects in AI/ML Fraud Detection and Pricing
AI PRODUCt MANAGER - Frysbe
Frysbe was a camera app that let's you message people outside of your social circles, providing people an easier way to discover content from around the world.
Consumer Research: Hosting workshops, conducting user interviews and producing surveys. Creating consumer research reports with user profiles.
UX: Created wireframes and prototypes
Business Analysis: Wrote Technical Requirements for the Onboarding, Messaging, Social Network, Events, Groups and Marketplace features. Outlining the user stories & user journey.
Project Management: Created a product roadmap and IT Project management gantt chart to monitor progress.
Agile Methodology: Held daily stand ups and launched new features every two weeks to get feedback from the customer and validate our hypothesis.
QA Testing: conducted user acceptance testing and reported bugs to QA engineers.
Key Account Manager — FCB Global
Client: Mondelēz International (Oreo, Cadbury, Ritz, Toblerone, Trident, etc.)
Acted as the primary client liaison, managing Mondelēz’s global portfolio of brands across multiple markets.
Oversaw the development and execution of integrated advertising campaigns including OOH, TV, and retail activations, ensuring creative excellence and consistency with global brand guidelines.
Led campaign localization and adaptation for diverse regional markets, balancing cultural relevance with brand equity.
Coordinated cross-functional teams (creative, media, production, retail partnerships) to deliver campaigns on time, on budget, and on brief.
Provided strategic input on campaign performance, consumer insights, and market trends to drive stronger engagement and ROI.
EVENTS & SPEAKING ENGAGEMENTS
GENERATIVE AI CONFERENCE
Hosted the first Generative AI Conference in London, in June 2023 in Partnership with Informa, at AI Summit. The two event focused on the impact of Generative AI on the Creative Industries and AI Ethics. With 200 attendees, 45 sponsors and 20 speakers the event was a hit!
AI FRONTIERS FORUM
Held Bi-Weekly meetups at the RSA to 60 people on Ethical LLM Adoption for the Finance, Legal and Healthcare Sectors. An intimate setting which encouraged a lot of debate and audience participation.
INVESTING IN AI
ROB MAY, Half court ventures
"I think it's important to get out there early and be part of that market transition, but you have to be careful about how long it might take to monetize." - Rob May
Started Backupify, Talla, Dianthus, and BrandGuard. Some big wins and some big failures. University of Kentucky grad and huge Wildcats fan. GP at PJC for a while, now a Partner at Half Court Ventures, a fund that focuses on AI.
Co Founder of the AI Innovators Community , author of the Investing In AI newsletter and angel in 100+ early stage companies, mostly AI companies.
RESPONSIBLE AI Innovation Unleashed
STARTUP GRIND
Victoria Albrecht is the CEO of SpringbokAI, where she empowers law firms to build Generative AI products that enhance AFA profitability, diversify revenue, attract new clients, and establish a defensible business.
Jonathan Gilmore is the CEO of Ai8, a commercial AI lab that specializes in solving the challenges of human-machine teaming. With a deep passion for exploring the intricate relationship between people and technology, Jonathan is dedicated to understanding and shaping the impact of AI and automation on culture, society, and the future of work.
The Art of Algorithms: Thriving in the age of Creative AI
DOMUS ACADEMY MILANO
Exploring how AI is reshaping creative industries, highlighting both opportunities and challenges.
Generative AI: Introduces tools that generate original content—images, text, music—transforming creative workflows.
Impact on Creative Processes: Examines AI’s role in storytelling, film, media, product design, and fashion, where it augments human imagination.
Future of Creativity: Argues that humans remain essential as curators and editors, predicting that handmade and artisanal crafts will become luxury markers in an AI-driven world.
AI Influencers: Explains the rise of AI-created influencers and the legal issues surrounding identity, likeness, and celebrity rights.
Gaming & Simulated Worlds: Describes AI’s ability to construct immersive virtual worlds and generate lifelike “agents” that simulate human behavior.
LLM Governance, Risk & Compliance
2021.ai
This talk explores the governance, risk, and compliance concerns when developing applications with LLMs like ChatGPT.
Performance & Reliability: LLMs may hallucinate and provide inconsistent outputs.
Data Privacy: Risks arise when models process sensitive personal or business information.
Bias & Stereotypes: LLMs can reinforce harmful biases, with examples such as Northpoint’s Compass tool, Amazon’s resume screener, and Apple’s credit card.
Explainability: Highlights the need for transparent, explainable AI systems.
Regulation & Compliance: Notes the relevance of the EU AI Act and introduces Grace, a platform designed to support governance and compliance.
Overall takeaway: While LLMs hold great potential, organizations must manage reliability, privacy, bias, and compliance risks to use them responsibly.
Generative IP & Synthetic Media
2021.ai
This presentation explores how generative AI is transforming creative industries and raising new intellectual property (IP) challenges.
The Rise of AI Creators: Defines “AI Creators” who use prompt engineering to produce art and media.
AI-Generated Media Growth: Notes the explosive scale—15 billion AI images created in 2023 alone.
Copyright Challenges: US law still requires human authorship, creating uncertainty for AI-generated works.
Generative IP: Suggests a new category of IP to protect AI models and training data.
Patent Eligibility: Highlights global debate—some countries recognize AI as inventors, while others restrict patents to humans.
Overall takeaway: Generative AI is reshaping both creative output and the legal frameworks around ownership, requiring new forms of intellectual property protection.
Would you like me to also create a comparison chart showing how different countries currently handle AI copyright and patents?
The Age of fashion Ai
e2 Networks
Francesca Taber explores how AI is reshaping the fashion sector, from luxury maisons to consumer brands.
Luxury Fashion Brands: Examines how heritage and craftsmanship can safeguard luxury houses as they adapt to AI-driven disruption.
Consumer Brands: Shows how AI enables trend forecasting by analyzing social media and cultural data.
Virtual Try-on: Notes the promise and technical challenges of digital try-on technologies.
Inclusive Datasets: Stresses the need for diverse, representative datasets in fashion AI.
AI and Design: Demonstrates how generative AI transforms design by creating garments directly from text prompts.
Overall takeaway: AI offers powerful tools for fashion—from data-driven insights to design generation—but long-term success requires balancing innovation with inclusivity, heritage, and human creativity.
Would you like me to refine this into a short webinar recap post for LinkedIn that you could share with your audience?
TESTIMONIALS
Lingling Duan, Technical Business Analyst
I am pleased to recommend Francesca Tabor for her exceptional leadership and project management skills
I had the privilege of interning at Gen AI Agency under Francesca’s leadership, and it was an incredible experience that greatly contributed to my personal and professional growth. Francesca is an outstanding mentor, leader, and professional in the field of AI and automation.
From day one, Francesca fostered an environment of collaboration, creativity, and continuous learning. She took the time to provide clear guidance on complex AI applications, especially when it came to integrating APIs and automating workflows. Her ability to break down technical concepts into understandable, actionable steps was invaluable, and I learned so much under her mentorship.
What truly stands out about Francesca is her approachability and willingness to invest in her team’s development. She’s always ready to offer constructive feedback, while also empowering her team members to take initiative and explore their ideas. Her leadership style is a perfect blend of supportive guidance and independence, which creates an ideal environment for growth.
ALISTAIR GOSLING, EXTREME INTERNATIONAL
Franki, did an outstanding job leading on and helping us develop our AI strategy and plan and then went onto line up and connect us to a collection of excellent potential partners for us work with. She is passionate about what she does and brings significant market and sector knowledge to the table.
Ketan Varia, kinetik solutions limited
Franki has a well rounded view on all the nuances of Artificial Intelligence. From attending her AI events it’s clear that she has a great understanding of the compliance and ethical challenges in implementing AI.
She is a great communicator and pro-active in relationship building and knowledge sharing.
Franki would make a great contribution to any AI team particularly in ensuring joined up thinking across multiple aspects when implementing AI.
Liam Sapsford, Senior Enterprise Account Executive, 2021.ai
Franki is a leading professional in the AI space. Franki's ability to present to a room full of leaders in their sector is second to none. Swift to execute on events and innovative when it comes to bring new ideas to reality. It has been a pleasure working with Franki and all events run by Frank in the Gen AI to AI Governance space should be a must for all.
VALENTINA DIACO, Profit Matches
I wholeheartedly recommend Franky for her expertise and professionalism in the field of AI, New tech, and business Strategy. During our discussion, Franky provided valuable, constructive feedback that showcased her deep knowledge in the domain. If you're looking for an AI consultant who goes above and beyond to provide top-notch insights and solutions, Franky is the one to call.
Ann Reddipogu, Expert in Artificial Intelligence
Franki is a tech enthusiast, who does not shy away from learning and digging deep into new technology, both technically and with matters relevant to standards, regulations and compliance requirements. I admire her adventurous spirit, always thinking big and never hesitant in setting big goals. I learnt so much while working with her. She stays very up to date with the happenings in the tech world. Franki explores opportunities to use technology for the benefit of the world. She has researched the United Nations Sustainable Development Goals (UNSDGs) and used it as a framework to guide her lay the foundation for some of the products that grabbed her attention.
Franki is very charming and has great communication skills. She encourages everyone to present their point of view and takes all opinions on board. I always found her humility very endearing, the mark of a good leader. She is very creative and brings a special something to everything she works on. I guess the word I'm looking for is the X-Factor! Franki is a great asset to any project. She has a great future ahead. I wish her the very best in all her future endeavours.
