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Where AI actually helps construction firms: job costing, bid and estimate prep, RFI and submittal handling, and document-heavy admin. What to automate first, what stays in the field, and what help costs.
Where AI helps small and mid-size manufacturers: quoting and RFQ response, quality and scrap data, maintenance logs, and production reporting. What to automate first, what stays on the floor, and what help costs.
How accounting firms and bookkeepers use AI to cut data entry, speed up catch-up work, and standardize review. What to automate first, what to leave alone, and what it costs to get help.
How law firms use AI safely: what to automate, what ABA Formal Opinion 512 requires, what an AI consultant costs, and how to keep fake citations out.
Hourly AI consulting has no ceiling and an incentive to keep going. A fixed-price audit gives you a known cost, a set deliverable, and an answer. Here is when each makes sense and how to avoid open-ended engagements.
ATF FFL data is one of the cleanest underwriting signals in firearms-adjacent insurance. Here is how underwriters use license type, tenure, and ZIP-level density to price risk.
Not all state business formation data is equal. Here is which states produce the highest-converting B2B leads, where the data is freshest, and what to avoid.
A practical guide to finding currently open SBIR Phase I solicitations across 11 federal agencies, with the search tactics that actually surface fundable opportunities.
Common SBIR Phase I budget errors trigger DCAA audits, cost disallowances, and clawbacks. Here are the mistakes to avoid on indirect rates, fee, and direct labor.
Most new home health agencies hit a cash crisis in months 6 to 12. The root cause is almost always a business plan that ignored PDGM episode timing and Medicare RAP changes.
Acquisitions of closely held companies usually leave a public-data trail twelve to eighteen months before the press release. Five of those signals, what they look like, and where to find them.
Before I build anything, I run it through the Fellowship: nine fictional characters from shows I actually watch, each playing a role that matches their on-screen expertise. It kills bad ideas faster than any framework I've tried.