Written by operators, for operators. No vendor pitches, no AI mysticism — just the work of running multi-entity small businesses, what software gets right, what gets it wrong, and where applied AI changes the answer. Eight pillar pieces below.
There's a difference between selling AI as a feature and applying AI to actual operational work. This is the plain-English guide to telling the two apart — with examples of each in the wild.
A field map of every place owners of multiple LLCs lose hours every week — and how applied AI compresses each one. With sources from McKinsey, Brynjolfsson, Deloitte, and Goldman Sachs.
MIT NANDA, RAND, and Gartner all converge on the same uncomfortable number. The pattern under the failures is identical. The 5% who succeed are doing five specific things.
Search "IP licensing" and you get law firms. Search "fintech IP licensing" and you get more law firms. There is a missing layer between counsel and code — and it's the one buying decisions actually run through.
Every operator knows the feeling. A ten-minute task somehow eats forty-five. This essay names every reason that happens — and walks through the five categories of automation that flatten the curve.
Practical use cases for small and mid-sized property managers — under 2,000 units, often under 200. From tenant triage to lease abstraction to late-rent escalation, here's what actually changes.
For the sub-$10M federal contractor: where DCAA timekeeping, SAM.gov solicitation review, capability statements, and proposal drafting collide with AI — and the order to attack them in.
An honest evaluation of twelve tools across bookkeeping, document intelligence, CRM, customer support, and consolidation — including ours. Where each one is great. Where each one is wrong for you.
We publish operator-perspective pieces every few weeks. Send a note if you'd like to be on the short list when the next one ships.