Matt Alford

AI-first product consultancy that develops and sells software directly to businesses and individual consumers, and helps mid-market and enterprise clients evaluate, design, deploy, and govern AI solutions—including RAG systems, LLM-powered workflows, document automation, and AI-assisted operational strategy. • Designed and shipped a production retrieval-augmented generation (RAG) system over 2,000+ proprietary documents for a manufacturing client; system is in daily use by the executive leadership team for decision support and institutional knowledge retrieval. • Built end-to-end AI workflow architecture using vector databases, prompt engineering patterns, and LLM orchestration (OpenAI and Anthropic models), with explicit attention to confidentiality, access controls, and responsible-use guardrails. • Advised executive clients on AI vendor evaluation, build-vs-buy decisions, governance frameworks, and organizational change required to adopt AI-native workflows. • Own B2B and B2C SaaS product pricing for the firm's software offerings — defining tier structure, packaging, and segment-based pricing for both business and individual consumer buyers. • Developed AI adoption playbooks covering policy, training, escalation paths, and risk management—translating emerging AI capabilities and limitations into practical operational guidance for non-technical leadership.

Led product strategy for a $100M AI-enabled SaaS, IoT, and mobile portfolio serving regulated enterprise customers; directly managed a team of 5 product managers and influenced a 40-person org spanning engineering, design, ML, and operations. • Defined and executed multi-year AI/ML product strategy and roadmap, prioritizing investments through competitive analysis, financial modeling, and risk assessment to drive executive decision-making at the C-suite level. • Established governance frameworks and operational policies for AI deployment in customer environments with strict confidentiality, safety, and compliance requirements—partnering closely with legal, data science, engineering, and operations stakeholders. • Led organizational adoption of AI-enabled workflows across sales, customer success, and operations teams; built training programs and change-management initiatives to bridge technical capabilities and field practitioner workflows. • Delivered AI-driven event detection and decision-support workflows that helped a Fortune 100 enterprise customer (~6,000 trucks) generate $20M+ in annual operational savings; following the product-market fit rework, the customer made our cameras standard equipment fleet-wide. • Evaluated and managed relationships with AI, data, and platform vendors; led build/buy/partner decisions across the AI technology stack. • Built and developed a team of 5 product managers — hired, coached, and performance-managed; mentored PMs to function as the CEO of their product lines, influence C-suite leaders, and align the organization around their strategic vision. • Owned B2C and B2G SaaS pricing across the portfolio; set pricing strategy, tier structure, and packaging to align revenue capture with customer segments spanning commercial fleets and government agencies. • Inherited an AI-enabled product line where 80% of customers were churning at contract end; reworked product-market fit and cut churn to 20% in 12 months — doubling sales from the largest customer, landing a top-3 US utility fleet (thousands of trucks, multi-state), and making the line the company's fastest-growing, most profitable portfolio.

• Owned product strategy and roadmap for AWS/SaaS transportation platform; defined real-time workflow features and secured multiple new enterprise contracts. • Led team of 12 product managers and engineers; established Agile processes that improved release quality across three development teams. • Built API partnership with Metro government agency for integrated platform experience.