Ben Sweet

Ben Sweet

AI Product Manager

I help organizations design and ship AI-powered products—from enterprise ML platforms to agentic AI systems that drive real business outcomes.

About Me

I'm an AI Product Manager who turns ambiguity into action and designs AI systems that drive measurable progress.

My work spans LLM architecture, RAG pipelines, predictive scoring, and responsible AI governance; bridging strategic vision with technical execution. With a decade in enterprise digital transformation and five years building AI/ML products, I've delivered platforms impacting millions and unlocked 100s of $Millions in contract wins. As co-founder of a GovTech AI platform, I designed model-driven insights that enable high-confidence bid and investment decisions and automations that cut manual analysis time by 82%.

The AI/ML products featured on this site represent my AI product consulting work: from intelligent automation platforms and decision engines to financial recommendation systems and Agentic AI solutions. I led distributed engineering and data science teams from discovery through deployment and monitoring.

My work blends technical rigor with a global lens, shaped by experience across 60+ countries and fluency in Portuguese and Spanish, I bring wide-ranging perspectives and empathy to design and build technology that resonates across diverse teams, users, and contexts.

AI/ML Platforms

End-to-end AI product specifications demonstrating technical depth and strategic thinking.

Investment Banking

Agentic AI Investment & Risk Intelligence

International Bank Investment Intelligence

Agentic AI system for investment analysis, combining risk scoring with explainable AI for portfolio decisions.

Multi-Agent RAG XGBoost SHAP AI Recommendation Monte Carlo
Financial Services

FinAssist A.I.

CFP Advisory Platform

Multi-agent LLM orchestration for financial advisors, with Monte Carlo simulations and compliance guardrails.

LangGraph Multi-Agent FinBERT RAG Vector DB Risk Calculator
B2B Legal

Law Firms Copilot

Contract Intelligence Platform

NLP-powered clause extraction and risk classification using Legal-BERT and transfer learning from CUAD dataset.

GenAI NLP Legal-BERT NER Classification Semantic Search
Consulting

GovTech RFP & Proposal Accelerator

Bid AI & Analytics Platform

Hybrid RAG + fine-tuned classifier system for automated RFP analysis, requirement extraction, predictive analytics and bid/no-bid recommendations.

RAG Fine-tuning Multi-Agent DeBERTa Cross-Encoder Hybrid Search
Enterprise Software

QA Automation

Enterprise Testing Platform

AI-driven test generation with self-healing locators and flaky test detection for enterprise QA workflows.

LLM RAG Self-Healing CI/CD Siamese Network Playwright
B2B Real Estate

Real Estate Lead Hub

Lead Intelligence Platform

Predictive ML scoring with LLM-powered personalization for real estate lead qualification and outreach automation.

XGBoost LLM Real-time ML Scoring LightGBM Pinecone
HR Tech

Workforce AI & Talent Matching

Enterprise Talent Intelligence Platform

AI-powered workforce optimization with semantic skill matching, demand forecasting, and bias-aware recommendations for enterprise staffing at scale.

LangGraph RAG XGBoost Cohere Rerank Pinecone Bias Detection
Developer Tools

Enterprise AI DevTools

Developer Productivity Platform

Internal AI platform with contextual code intelligence, technical debt scoring, cross-repo impact analysis, and automated knowledge synthesis.

Llama 3.1 Neo4j Temporal CodeBERT Knowledge Graph Impact Analysis

Note: Client names and proprietary details have been modified for confidentiality.

AI Playbooks & Guides

Comprehensive frameworks for operationalizing AI across organizations.

72 pages

Agentic AI Implementation

End-to-end guide covering agent architecture patterns, orchestration frameworks, governance, continuous learning, and production deployment.

Multi-Agent Orchestration Governance
~20 pages

AI Enablement for Enterprises

Strategic framework for mature organizations adopting AI—covering readiness assessment, build vs. buy decisions, and change management.

Strategy Enterprise Transformation
~12 pages

Prompt Engineering Guide

Practical techniques for effective LLM prompting—covering chain-of-thought, few-shot patterns, structured outputs, and evaluation methods.

LLM Prompting Best Practices
5 Years AI/ML Product Design & Delivery
AI Product Strategy & Vision
Problem Framing & User Research
AI/ML & GenAI Solutions Design
Intelligent Automation & Decisioning
AI ROI Modeling
LLM+RAG Design/Pipelines
Foundation Model Selection
Responsible AI Governance
Guardrails & Output Validation
Model Evaluation
Explainability
Build vs. Buy Analysis
Predictive ML/Analytics
Prompt Engineering & Optimization
10 Years Product Management
Executive Communication & Stakeholder Alignment
Cross-Functional Team Leadership
Product Roadmapping
Discovery & User Research
Prioritization
KPI Design & Experimentation
Workflow Automation & Optimization
Agile/SAFe Delivery
Data-Driven Iteration
Stakeholder Management
Digital Transformation & Change Management
Analytics & Data Architecture
Go-to-Market Strategy
Change Management
Deep Technical Expertise
LLM APIs (OpenAI, Claude, Azure)
RAG/Vector DB Integration
LLM Orchestration (LangChain)
Guardrails & Output Validation
Vector Databases & Embeddings
Prompt Engineering & Optimization
ML Pipelines
API Integration
Cloud Platforms (AWS/Azure)
Predictive Analytics
Data Architecture
MLOps
SQL
Python

Let's Connect

Looking for an AI Product Manager who can bridge strategy and technical execution?