What we've delivered

Legal

FranFranAI has provided sophisticated, end-to-end solutions for law firms to automate content strategy, analyze profitability, and scale staff training.

Content Creation

We've built an autonomous content engine that researches trending topics from legal news and social media, synthesizes them with a firm's internal knowledge base, and generates a complete content bundle from a single click. This bundle includes SEO-optimized blog posts, social media content, and even short-form video scripts.

Profitability Analysis

We've engineered a unified reporting system that connects advertising costs, timesheet entries, and invoice data to reveal the true profitability of each case. This system provides a single source of truth, calculating key metrics like Return on Ad Spend (ROAS) and empowering partners to eliminate guesswork from their marketing decisions.

Staff Training

We've developed an AI Intake Coach that uses anonymized, real-world scenarios to create realistic call simulations for new intake specialists. After each simulated call, a specialized AI coach analyzes the transcript and delivers a comprehensive performance scorecard with actionable feedback directly to the trainee's profile on the company website

B2C & D2C

For D2C and B2C brands, FranFranAI has built intelligent systems to scale influencer marketing, unify scattered customer data, and create highly personalized advertising campaigns.

Influencer Management

We've automated a brand's entire influencer PR workflow, from initial outreach to reward fulfillment. The system uses an AI agent for negotiations, automatically creates product orders in Shopify, and smartly activates an influencer's discount code only after their content has been approved.

Data Unification

We've built a unified customer database by integrating a brand's ActiveCampaign CRM and Meta Ads platforms. This eliminated manual data entry and enabled the creation of PowerBI dashboards that provided a single source of truth for all marketing activities.

Ad Retargeting

We've implemented a sophisticated, event-based tracking system using Google Tag Manager and the Meta Pixel. This allowed a brand to move from generic ads to dynamic product retargeting, creating hyper-segmented audiences like "Cart Abandoners" and showing ads for the exact products a user viewed or added to their cart.

Healthcare

FranFranAI has developed multiple solutions for clinics and hospitals, ranging from real-time analytics and predictive modeling to specialized generative AI for medical content.

Infection Control

We've built a low-cost analytics system for a plastic surgery clinic that automated data collection from Google Forms into a real-time Power BI dashboard, allowing for proactive infection monitoring. They also developed a pilot for a conversational AI that lets doctors query hospital databases using natural language to get instant answers about infection trends.

Medical Illustrations

We've engineered an AI pipeline that reduced the production cycle for medical illustrations from three weeks to under one hour. The system uses a custom-trained Stable Diffusion model that understands complex human anatomy to generate stylistically consistent and medically precise visuals on demand.

Predictive Analytics

We've designed and tested a machine learning model that predicts antibiotic resistance in ICU patients with 84.53% accuracy using a minimal set of lab data. This provides a fast, cost-effective tool to help clinicians make timely treatment decisions.

Education

For online education companies, FranFranAI has created systems to personalize student learning, automate content creation, and qualify prospective students.

Student Performance

We've built a comprehensive dashboard that provides a 360-degree view of student engagement. Using Principal Component Analysis (PCA), they segmented students into distinct behavioral "archetypes" (e.g., "Mockup Masters") and created personalized study plans to improve their performance

Content Generation

We've developed an AI engine that ingests raw content like PDFs and textbook chapters to programmatically generate a wide range of educational materials, including tests, lesson scripts, and flashcards.

Lead Qualification

They implemented a WhatsApp chatbot that acts as a 24/7 student advisor, answering common questions and qualifying leads based on their goals before seamlessly handing off high-intent prospects to human advisors.

Marketing Technology

FranFranAI engineered the entire technical architecture for the influencer discovery platform "Pitchee," focusing on high performance and scalability.

We've built a full-stack solution with a decoupled architecture, separating the user-facing application from heavy backend data processing to ensure instantaneous page loads.

An automated backend engine using n8n and Apify runs on a schedule to scrape and update influencer data in a real-time Supabase database, ensuring the platform's data is always fresh without manual effort

The system also features an automated lead generation channel that delivers curated influencer lists to users' inboxes upon request.

Coaching

FranFranAI developed a bespoke AI tool to help a career coaching specialist automate and scale her most valuable service.

We've built an AI-powered bot trained on the coach's unique CV review methodology and brand voice.

The bot analyzes a client's CV, breaks it down into core sections, and provides detailed, actionable feedback directly as comments in the document, based on the coach's specific rules.

This transformed a manual, hour-long process into an automated review that takes only minutes, allowing the coach to create a scalable, mass-market offering.

Customer Success

For a premium salon, FranFranAI overhauled an underperforming AI agent to create a high-quality, brand-aligned customer experience.

We've re-engineered a clunky and robotic AI voice agent into a sophisticated "digital concierge" that provides a natural, fluid conversational experience

To eliminate errors and "hallucinations," we've replaced static, hardcoded information with live API calls to the salon's database to retrieve accurate staff names, schedules, and service menus in real-time