You will get AI Opportunity Assessment & Automation Strategy for Your Business
Rising Talent
Rising Talent
Project details
Many businesses exploring AI struggle to determine where it will create real value. I review your workflows, technology stack, and operational challenges to identify high-impact AI and automation opportunities. You’ll receive practical recommendations on where AI can improve efficiency, which initiatives to prioritize, and which tools or approaches to consider. The goal is to help you focus on AI opportunities that can realistically improve business performance.
AI Algorithms
Autoencoder, Feedforward Neural Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, AIOps, Anomaly Detection, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, Copy.ai, GitHub Copilot, Hugging Face, Jasper AI, Microsoft 365 Copilot, PyTorch, Replit, Streamlit, TensorFlowAI Models
ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$395
|
Standard
$995
|
Advanced
$1,950
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code | - | - | - |
About Raphael
AI Strategy & AI Automation Specialist | Fractional Chief AI Officer
Charlotte, United States - 7:07 pm local time
• Award-winning strategist from a top U.S. consulting firm
• 14+ years experience in robotic process automation, operations, and lead generation experience
• Venture capitalist experienced in analyzing tech and market application
• MBA from a top-tier business school
• Experienced business owner / operator
Most companies are not interested in testing 20-50+ tools over the next 12-18mo to find a couple that work only to realize that competitors are outpacing them because they picked the right business use cases to target almost a year ago.
My work focuses on identifying where AI can create real business value and turning those opportunities into practical systems and workflows.
I audit business workflows, refine strategies, and help small businesses to naturally layer AI into their existing operations, decide what AI to buy, build, or skip so they can focus on their core business, and implement ROI-driven AI workflows.
Typical engagements include:
• identifying high-value AI use cases across the business
• prioritizing opportunities based on ROI
• determining what AI should be bought, built internally, or avoided
• designing automation and AI workflows
• helping companies implement AI systems inside operations
I combine strategy, finance, AI, and operational experience to help companies move beyond AI experimentation and implement AI in ways that actually improve business performance. I applied AI to my own traditional businesses achieving 73% increase in output, and now I'm helping others win with AI.
Example:
AI Opportunity Assessment Framework
Deliverables:
• AI assessment
• AI use case map
• ROI prioritization
• Buy vs build recommendations
• Automation roadmap
Steps for completing your project
After purchasing the project, send requirements so Raphael can start the project.
Delivery time starts when Raphael receives requirements from you.
Raphael works on your project following the steps below.
Revisions may occur after the delivery date.
Review Business Context
Review your business overview, workflows, and technology stack to understand current operations.
Identify AI Opportunities
Analyze processes and identify areas where AI or automation could improve efficiency or outcomes.