Author
Luke Suneja
Client Partner
19 posts by this author
AI Tools for Market Research: A Practical Buyer's Guide
The most useful comparison for AI market research tools isn't features or price — it's what happens when a tool doesn't have a good answer. Four tests to run before you buy.
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Newsletter Monetization: Turning Your Archive into a Paid, Query-able Product
The fastest-growing newsletter monetization model isn't a new ad network — it's turning your archive into a paid, queryable product subscribers can ask questions of.
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How AI Is Automating Market Research (Where Analysts Still Need to Verify)
AI is automating retrieval, extraction, and first-draft synthesis in market research — not judgment. Here's where analysts still need to verify before trusting the output.
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Best AI-Powered Knowledge Base Approaches for Content-Heavy Teams
A framework for choosing between bolted-on AI search, purpose-built RAG platforms, and custom systems — built around what content-heavy teams should actually test before committing.
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AI Knowledge Base: What It Is and How It Works
A practical breakdown of what an AI knowledge base actually is, how retrieval-augmented generation works, and why grounding — not fluency — is what makes one trustworthy.
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RAG for Healthcare: HIPAA-Compliant AI Knowledge Systems
Clinicians trust sources, not summaries — which makes RAG a natural fit for healthcare and its hardest test. HIPAA safeguards, de-identified ingestion, and human review have to be architecture, not disclaimers.
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Institutional Memory AI for Financial Services: Domain Intelligence for Compliance-Heavy Organizations
In financial services the cost of a wrong answer is regulatory, reputational, and customer-trust cost — the answer has to be accurate, current, citable, and auditable. A Domain Intelligence Engine configured for the firm's compliance posture delivers governed answers: domain ontology, domain filters at retrieval, veteran-verified calibration, and a five-element audit trail on every query.
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RAG for Financial Services: Compliance-First AI for Banking and Insurance
In banking and insurance the question isn't only whether a RAG system works — it's whether you can explain it to an examiner. Auditability, permission control, and model risk management have to be architecture, not afterthoughts.
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Tax and Audit Firms: An AI Assistant That Shows Its Sources
Tax and audit work can't rest on an AI's unverified word — every position needs support. An assistant that shows its sources and keeps an audit trail fits how these firms already work: cite the authority, keep the workpaper, stand behind the answer.
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AI for Insurers That Underwriting and Compliance Both Trust
An AI assistant for insurance has to win over two hard audiences at once. Underwriting won't use it unless its answers are accurate, sourced, and explainable enough to stand behind. Compliance won't allow it unless it's controlled, permissioned, and auditable. Governed AI is built to satisfy both — grounded and explainable for the underwriter, controlled and recorded for compliance.
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Legal AI With a Citation You Can Defend
Legal professionals have a well-earned allergy to confident assertions without support — their discipline is built on citing authority. Legal AI that gets used is grounded in the actual documents and cites a verifiable source for every point, so every output is traceable and defensible.
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Governed AI for Banks: Chat, Retrieval, and Audit Inside the Perimeter
Banks have the strongest case for AI and the strictest constraints on how to use it. The value — instant answers over decades of policy, product, and customer knowledge — is enormous; the rules around customer data, auditability, and accountability are unforgiving. The way to have both is governed AI that runs inside the bank's own perimeter: chat and retrieval over your knowledge, every answer permissioned, every decision on a record a supervisor can read.
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Institutional Memory AI for Healthcare: Continuity of Care in a High-Turnover Industry
Healthcare turnover is structural — the continuity an institution promises patients depends on operational knowledge surviving the people who carry it. Institutional memory AI holds approved protocols, scheduling logic, staffing rules, and patient-education content addressable to whoever is on shift, scoped to operational workflows rather than clinical judgment.
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Healthcare AI That Keeps PHI Inside the Boundary
Healthcare has the clearest AI value and the least room for error. An assistant over clinical guidelines, patient records, and administrative knowledge could save enormous time — but protected health information leaking, even once, is the kind of failure that ends programs and triggers penalties. Healthcare AI that works keeps PHI inside the boundary by design: redacted at the wire, processed where the data lives, permissioned per user, and fully recorded.
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Institutional Memory AI for Professional Services: Capturing What Your Experts Know
Professional services firms sell expertise — and too much of it lives in partner memory, inboxes, and prior work product rather than any addressable system. Institutional memory AI turns those artifacts into a searchable, governed, citable expertise base, without a documentation tax on billable time.
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Company Brain for Customer Support: AI That Knows Every Answer, Every Time
Every agent knows part of the answer. The ticket system knows part of the history. The runbook knows part of the procedure. The customer waits on the line while three people are simultaneously searching for the same piece of information across three different tools — the operating reality of most enterprise support and operations teams.
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Company Brain for Sales Teams: AI That Knows Your Deals, History, and Product Better Than Any Rep
Sales organizations are sitting on more institutional knowledge than almost any other function — CRM accounts, call notes, proposals, objection history, competitive intelligence, prior-deal precedent — and the active reps can rarely retrieve it when a live deal needs it.
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The AI Silo Trap: Why Giving Everyone a Different LLM Subscription Is Making Your Company Worse at AI
Your org chart probably has more AI licenses than AI strategy. Here's the bill coming due.
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Wiring Claude Directly Into NetSuite for Analytics? Here's the Expensive Mistake Hiding in That Shortcut
A few hard-won lessons from sitting in rooms with CFOs and controllers who tried the fast way first.
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