We partner with individual professionals, management teams, and investors to design and execute AI strategies that drive measurable outcomes, not just technology roadmaps.
Build momentum. Fuel disruption. Drive ROI.
Approach
Most companies are already experimenting with AI: working groups, lunch-and-learns, pilot projects, and teams sharing the latest thing they tried in ChatGPT. That's activity, but not real progress.
FutureInSites helps clients move from experimentation to execution. We assess where you are, identify the opportunities most likely to save time, improve productivity, or create new value, and build the strategy and foundation to deploy them.
We work with professionals, businesses, and investors: from personal OpenClaw agent buildouts, to enterprise strategy and workflow deployment, to AI market intelligence and strategic diligence.
Our work spans retail, manufacturing, media, finance, healthcare, and bio-sciences: industries where AI is reshaping productivity, capital intensity, customer expectations, and competitive advantage.
The goal is not more AI activity. It is measurable business impact.
Solutions
FutureInSites works across three audiences: individuals, businesses scaling from SMB through enterprise, and investors making AI bets in a fast-moving market.
Done-for-you personal AI agent setups for executives and high-output professionals. Configured to your workflow, your tools, and your data, on hardware you own.
AI strategy and transformation for SMB through enterprise. Readiness, roadmap, vendor selection, governance, and build, delivered under a Build-Operate-Transfer model your team can own.
Strategic counsel and AI market intelligence for fund partners, family offices, and corporate development teams. Vendor due diligence, thesis development, and quarterly briefings.
A 2-day onsite intensive that takes your leadership team from "we should do something with AI" to a prioritized roadmap and live development. We come onsite with pre-researched analysis of your business; you leave with both clarity and momentum.
Survey the terrain together. AI history, fundamentals, and the current vendor landscape. Frameworks for thinking about AI ROI, risk, and competitive timing. Where your industry sits on the inflection curve.
Chart your path through the landscape. Readiness assessment, prioritized AI application analysis, buy-vs-build evaluation, and a sequenced roadmap built on pre-researched analysis of your business.
We'll be in touch promptly.
Selected Case Work
An NLP sentiment study of a major automotive brand. Investment-grade diligence on an AI infrastructure business. Forecasting analysis of AI's impact on an incumbent platform's economics. Three angles on how AI is changing how value is created, captured, and measured.
An NLP case study on Tesla's Twitter brand across 2018 and 2020. ~2.4M tweets analyzed through VADER, a default BERT classifier, and a BERT model fine-tuned on Sentiment140. Findings on engagement-weighted sentiment, hashtag evolution, and what model choice reveals about domain match.
An Investment Committee memo analyzing Oracle's $455B AI backlog. Two-scenario DCF, GPU economic obsolescence vs. extended GAAP useful lives, customer concentration across NVIDIA, AMD, and OpenAI. Strong Underweight; new normal fair value $75 vs. $164.52.
A two-engine business architecture modeling Search/Services and Cloud separately. AI Overviews monetization, Gemini long-query monetization, and the 2026 CapEx / D&A trough explicitly preserved. Net call: AI raises continuing value, modestly. Maintain.
Tesla, Oracle, and Alphabet are subjects of analysis, not engaged clients. Case studies are educational analytical work product authored by FutureInSites for illustrative purposes. All data is drawn from publicly available sources and cited inline.
Premier Case Study
A full-scope AI strategy: readiness assessment, competitive benchmarking, use case prioritization across 12 initiatives, governance framework, and a phased three-pillar implementation roadmap.
A full-scope AI strategy for a $10B+ premium athleisure brand at a strategic inflection point: declining U.S. comps, aggressive new competitors, and a newly appointed Chief AI & Technology Officer. Our analysis covers capability assessment, competitive benchmarking, use case prioritization, and a phased three-pillar implementation roadmap.
Team
Industry depth and research rigor across the verticals where AI is changing the economics fastest.
Over 25 years scaling data, ML, and GenAI platforms as a strategic leader. Led engineering and data science at MotiveMetrics' AI SaaS platform optimizing $100MM+ in paid search, with P&L and SOC 2 governance. MarTech DSP & CDP leadership at Inmar Intelligence and Nelnet. Vanderbilt BA, Boston College MBA in AI & Machine Learning.
Adjunct Professor at Boston College teaching AI Strategy. 30+ years of consulting and strategy leadership across West Monroe, Cognizant, Cisco, and Wipro, with deep experience in product innovation, transformation, M&A, and Industry 4.0 for Fortune 50 consumer and industrial manufacturing companies. Boston College BS, Yale MBA in Strategy and Finance.
Two decades of digital product leadership across pharmacy, retail, and healthcare. VP roles at Walgreens leading 200+ product and engineering professionals, Best Buy heading Digital, Analytics, and Technology, and CVS Health as Chief Digital Officer for Pharmacy overseeing $13B in digital revenue. Tufts BA, Chicago Booth MBA in Strategic Management and Finance.
Assistant Professor of Accounting at Boston College's Carroll School, researching the intersection of accounting and AI. Builds RAG systems applied to financial disclosure and publishes on human-AI collaboration in corporate valuation. Teaches an AI Applications in Business course at BC. Wuhan University BA, University of Chicago PhD.
Whether you're starting from zero or scaling an existing AI program, we'd love to explore how FutureInSites can help your organization move faster with more confidence.