Insight Capital advises small and mid-sized companies, asset managers, and family offices on AI Strategy.
The flywheel: the workflow problems strategized and solved inform the ventures built and the investments backed — advice grounded in what works.
Identify where AI can generate the highest return on investment; know where to start, what to prioritize, whether to build or buy, and how to develop a focused execution plan.
Design and build lightweight AI-assisted workflows, prototypes, and internal tools that prove business value before committing to large-scale engineering spend.
Turn your distinctive assets — domain expertise, proprietary data, distribution, partnerships, and networks — into new AI-native products and ventures.
Help family offices and funds develop AI investment theses, source opportunities, and pressure-test deals — combining practitioner-level AI judgement with institutional investment experience.
RMIC, one of Canada’s leading regenerative orthopedic care networks, needed a scalable solution to manage growing inbound inquiries across email, website, social channels, and its consultation chatbot without compromising clinical accuracy, physician oversight, or auditability.
Insight Capital designed and built a physician-in-the-loop communications system across eight workflows spanning intake, CRM synchronization, AI response drafting, physician feedback capture, lead nurture, and weekly learning reports. Running on secure cloud infrastructure and integrated with RMIC’s existing systems, the communications system classifies inbound inquiries, drafts compliance-screened responses, flags sensitive medical or regulatory language, and queues every patient-facing draft for physician review. Physician approved edits are converted into reusable drafting guidance as permanent prompt architecture, creating a feedback loop for the system to self-improve.
Patient inquiry first response times decreased by 90%, physician time per response decreased by 80%, share of approved AI drafts with no change has doubled, and RMIC handled a 25% increase in monthly patient volume with no additional staff.
Over two decades worth of relationships and professional context — contacts, emails, meeting notes, deals — were scattered across multiple inboxes, apps, and file formats; unusable for strategic questions like: “Who are the top contacts from my network that I should discuss this deal with and why?”
A five-layer context management system over a private knowledge base:
Control Layer: AI agents can read freely, but write actions are tightly governed through protected paths, approval workflows, regression testing, audit logs, and rollback mechanisms. The system gets smarter whilst remaining trustworthy.
Complex opportunity-to-person, and person-to-person, matching is enabled that – unlike traditional CRMs – can explain why each match makes sense with links to supporting sources.
Client research and analysis require cross-disciplinary expertise — market, technical, financial, risk, legal. A single context window can’t handle it all, and human orchestration is difficult due to excessive cognitive load.
A model-agnostic orchestration framework that assembles teams of AI experts into automated pipelines:
Teams of AI experts can be assembled in different configurations and run end-to-end to produce client-caliber drafts in minutes for a few dollars in model costs. The orchestration framework has been refined by 500+ automated tests and powers our client engagements — we operate on the same systems we build for clients.
Determining where AI can generate the biggest ROI in a business traditionally requires weeks of consultant interviews. Clients prefer a faster, data-driven process.
A staged audit methodology that converts a company’s operational profile into a scored AI opportunity map and a prioritized roadmap with ROI framing:
A meeting-ready draft for review containing a ranked list of opportunities and evidence-backed analysis that’s available in minutes.
Ken Nguyen has over 25 years’ experience as a builder, investor, and advisor with a track record creating $1B+ in value; his career spans institutional advisory, family office investing, and zero-to-one venture creation.
At Blackstone, he led $47B in M&A and restructuring transactions during the global financial crisis, including the record sale of the Los Angeles Dodgers for $2.3B. At McCourt Global, a multi-B family office, he led new venture incubation, investments, and acquisitions. At Diagram, a $400M venture studio, he built and led the AI practice, launching 5 ventures that have collectively raised $80M in follow-on capital and served as a member of the investment committee. He began his career at Citigroup.
Ken holds an MBA from the Wharton School and a BS from NYU Stern. He is a hands-on builder leveraging AI tools to automate work flows for Insight Capital and its clients.
