Results & Research
Real client outcomes and market insights to guide your AI strategy
Real client outcomes and market insights to guide your AI strategy
Real outcomes from our AI strategy and implementation work
Helped a manufacturing company develop and execute an AI roadmap that resulted in 40% operational efficiency gains within 6 months.
Guided a healthcare startup through the build vs buy analysis, saving them $2M in development costs while accelerating time-to-market by 8 months.
Developed a proprietary AI tool for a financial services firm that increased their processing speed by 300% and reduced errors by 85%.
Upskilled 50+ employees at a retail chain, enabling them to leverage AI tools that improved customer satisfaction scores by 25%.
Real-world examples of how we've helped organizations achieve their AI goals while navigating complex regulatory requirements.
AI architecture and evaluation strategy for a multi-year program at one of the world's largest law firms, building a unified workspace for diligence, document negotiation, communications, and institutional knowledge across transactional matters.
Deal execution ran across email, spreadsheets, and systems that did not talk to each other, leaving no unified view of matter status, no structured record of decision rationale, and no reliable way to judge whether an AI system was fit to run on live matters.
Led the AI architecture workstream, directing a team of ten to design a modular, self-hostable platform inside the firm's own cloud tenant, and established the benchmarking discipline used to decide what shipped.
Our Role
Team Led
Configuring an intelligence and authoring platform to a corporate investigations firm's subject-check workflow, automating retrieval, triage, translation, and drafting while keeping every claim traceable to its source.
Analysts spent the bulk of a subject check on mechanical work: running the same searches across registries, litigation records, and news archives, translating non-English results, triaging what was relevant, and reformatting findings into the house report template.
A configured deployment that automates retrieval, screening, and drafting beneath the researcher, built on three design commitments established in discovery: every claim traceable to source, comprehensive coverage with a clean fallback to manual work, and the researcher in control of all final output.
Engagement
Design Standard
Serving as embedded Entrepreneur-in-Residence to a grant-funded university research program developing textile-based biosensors, covering FDA regulatory pathway, business model, and capital formation across a 24-month engagement.
A university team had a genuinely novel sensing technology and a 24-month grant, but no regulatory pathway, no business model, and no clear route from a research prototype to a product anyone could buy or a company anyone would fund.
An embedded Entrepreneur-in-Residence role covering FDA regulatory strategy from wellness-device clearance through a software-as-a-medical-device transition, alongside customer discovery, business model development, and funding roadmap.
Our Role
Engagement
Key findings from our research and industry analysis
Our analysis of the McKinsey Global Survey reveals that companies implementing generative AI are seeing significant returns on investment, with early adopters leading the pack.
Read Full Report →Bloomberg Intelligence projects explosive growth in the AI market, with enterprise applications driving the majority of spending and innovation.
Read Full Report →Thomson Reuters research shows that professionals using AI tools are saving significant time while improving the quality of their work output.
Read Full Report →