AI by Industry

Where AI actually pays off, industry by industry.

Evidence-based playbooks for small business owners. Every claim cited to real adoption data, studies, and measured results. Written from Vancouver, valid anywhere in Canada or the US. No wish lists.

By Adi Huric, founder of Most AI Labs22 sourced industry playbooks

Most “AI for your industry” content is written by people selling software. It lists twenty things AI could theoretically do and proves none of them.

This series does the opposite. For each industry we dig into what owners are actually running, what the measured results were, what failed publicly, and what the regulators say. If the evidence for a use case is thin, we say so.

The test for every recommendation is the same one we apply in our own client work: would we spend our own money on it?

Filter by the job you want done

22 industry playbooks

Professional Services

6 playbooks

Legal

AI for law firms: what the evidence actually supports

79% of legal professionals now touch AI, but only 8% of solo firms use it seriously. Between those two numbers sits the whole opportunity. Here is what the studies, the court sanctions, and the billing data really say, for firms in BC and anywhere in North America.

July 2026 · 9 min read

Accounting

AI for accountants: the profession your clients expect to use it

77% of tax clients want their firm using AI. 59% have no idea whether it does. Meanwhile adoption jumped from 9% to 41% in a single year, and the IRS just published its first AI rules for tax practice. The evidence, the fee math, and the new compliance lines, for firms in Vancouver, Canada, and the US.

July 2026 · 10 min read

Insurance

AI for insurance brokers: renewals, submissions, and the service gap

Two-thirds of independent agencies plan to increase AI use this year. Only 8% have it embedded in daily work. That gap is the whole story, and the number one reason agencies get sued makes the case better than any vendor deck. For brokerages in Vancouver, Canada, and the US.

July 2026 · 10 min read

Financial Advice

AI for financial advisers: notes, research, and suitability

Consumers still trust people with financial decisions. Regulators already expect firms to control AI. The useful middle is meeting preparation, cited research, file completion, and supervised communication.

August 2026 · 9 min read

Recruiting

AI for staffing agencies: sourcing, screening, and bias

Recruiting has credible adoption and time-savings data—and a direct line from a convenient ranking to discrimination risk. The evidence supports assistance, auditability, and a human decision.

August 2026 · 9 min read

Real Estate

AI for real estate brokerages: leads, listings, and compliance

The 1,200-agent adoption survey has an unusually honest result: half saw a positive effect and almost half saw none. Here is what a managing broker can build between those numbers.

August 2026 · 9 min read

Health & Wellness

6 playbooks

Dental

AI for dental clinics: diagnostics, no-shows, and the front desk

One in three dentists now uses AI. Only 2% trust it more than their own judgment. Both numbers are correct. Here is what the FDA studies, the no-show data, and the insurance math actually support for an independent practice, in BC or anywhere in North America.

July 2026 · 9 min read

Healthcare

AI for medical clinics: scribes, faxes, and patient access

The strongest measured small-clinic evidence in the series: physician adoption, a six-system scribe study, a 7,000-appointment BC pilot, and the privacy work that must happen before the microphone turns on.

August 2026 · 10 min read

Veterinary

AI for veterinary clinics: scribes, records, and the phone

The most academically defensible AI adoption evidence in this series: what 3,968 veterinary professionals reported, what the profession says about AI records and imaging, and where a clinic can measure the money without pretending a vendor case study is a trial.

August 2026 · 10 min read

Aesthetics

AI for medspas: consultations, rebooking, and consent

A commercially attractive industry with a weaker AI evidence base than vendors imply. Here is what the financial data, reception surveys, medical advertising rules, and privacy guidance actually support.

August 2026 · 8 min read

Beauty

AI for beauty salons: booking, rebooking, and the review rules

Almost every salon statistic in circulation was published by a company selling booking software. Strip those out and one problem is left standing: across 160 Vancouver reviews, booking friction caused more one-star ratings than bad workmanship.

September 2026 · 9 min read

Fitness

AI for gyms and fitness studios: leads, retention, and scheduling

The fitness industry has solid operating benchmarks and weak independent AI outcomes. That makes the honest use case retention: notice disengagement earlier and make a human response easier.

August 2026 · 8 min read

Home, Property & Construction

3 playbooks

Trades

AI for trades and home services: the missed-call goldmine

If you run an HVAC, plumbing, electrical, or roofing company, you have seen the stat that 62% of your calls go unanswered. It is a decade old, from 85 businesses. The real number is 27%, and at $129 a lead that is still the most expensive leak in your business. Here is the evidence.

July 2026 · 10 min read

Property

AI for property management: maintenance triage and the leasing funnel

Where AI holds up in property management: after-hours maintenance calls, leasing inquiries, and rent operations. The measured results come mostly from multifamily portfolios, so we show exactly where a smaller manager is extrapolating. Evidence first.

August 2026 · 10 min read

Construction

AI for construction: estimates, documents, and project control

The largest independent survey says 78% of firms are still at zero or pilot. That is not a reason to wait; it is a reason to start with one document-heavy workflow and prove it.

August 2026 · 9 min read

Automotive, Retail & Hospitality

5 playbooks

Automotive

AI for auto dealerships: leads, service calls, and follow-up

What dealership AI can prove today: faster response, fewer lost conversations, and better service access. Plus the vendor-data problem, F&I boundary, and the numbers a dealer should measure before buying anything.

August 2026 · 9 min read

Automotive

AI for auto repair shops: scheduling, estimates, and updates

Independent shops are already using AI-labelled scheduling, estimate, and inspection tools. The evidence supports the workflow around the repair order—while diagnosis and safety-critical work stay with the technician.

August 2026 · 8 min read

Hospitality

AI for restaurants: where thin margins meet real automation

The loudest restaurant AI, the drive-thru voice bot, is the part that publicly failed. The quiet back-office tools are where the measured money is. Here is what survived contact with real kitchens, for independents in Vancouver, Canada, and the US.

July 2026 · 10 min read

Travel

AI for hotels and travel: inquiries, reviews, and revenue

Travelers say they want always-available AI help. Canadian operating adoption remains low. Between those facts is a useful playbook for independent hotels, tour operators, and travel agencies.

August 2026 · 8 min read

Retail

AI for retail and e-commerce: discovery, support, and inventory

AI-referred shopping traffic grew 4,700% from a tiny base. What independent retailers should do with that signal—and why product data, support, and stock discipline come before a shopping bot.

August 2026 · 9 min read

Operations & Education

2 playbooks

Next step

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