Industries
The generic advice about AI stops being useful the moment it meets a real practice. These pages are written for one kind of firm at a time — what the technology actually does in that work, where the professional exposure sits, and what to do first.
Law Firms
Your staff is already using AI, and the professional-responsibility rules already cover it. Start by finding out where it's actually being used, then put it to work on the drafting, intake, and review that eat billable hours.
AI Governance & Readiness
An AI Risk & Readiness Audit for Idaho firms — documented use, a gap assessment against ABA Formal Opinion 512, and a firm-specific AI use policy — then implementation on retainer.
Read more GuideAI for Law Firms: What It Actually Does
What AI actually does inside a small law firm: same-day client response, faster drafts and research, and why skipping a plan is the real risk.
Read moreAccounting & CFO Firms
Tax prep, reconciliations, and month-end close absorb hours that don't have to be manual. The opportunity is real, and so is the client-data exposure that comes with adopting the tools without a plan.
AI Governance & Readiness
An AI Risk & Readiness Audit for Idaho firms: documented use, a gap assessment against the AICPA Code of Professional Conduct and Circular 230, and a firm-specific AI use policy, then implementation on retainer.
Read more GuideAI for Accounting Firms: What It Actually Does
What AI actually does inside a small accounting firm: faster tax prep, automatic reconciliations, a shorter close, and why skipping a plan is the real risk.
Read moreSaaS & Engineering Teams
PR review, tests, and on-call absorb hours that don't have to be manual. The opportunity is real, and so is the source-code and customer-data exposure that comes with adopting the tools without a plan.
AI Governance & Readiness
An AI Risk & Readiness Audit for engineering teams: documented use, a gap assessment against your SOC2 commitments and customer DPAs, and a team-specific AI use policy, then implementation on retainer.
Read more GuideAI for SaaS Teams: What It Actually Does
What AI actually does inside a SaaS engineering team: faster PR review, generated tests, quicker incident triage, and why skipping a plan is the real risk.
Read moreDon’t see your industry?
The work underneath these pages isn’t industry-specific — it’s finding the repetitive work that eats your team’s hours and building something that handles it, on systems you already control. If your firm isn’t on this list, the conversation is the same one.