Field notes on launching AI at SMB scale.
Real numbers, real setups, and the patterns that separate a working AI build from a demo. Written by the operators delivering the work.
AI voice agents for small businesses: cost, setup and what actually works in 2026
SMBs typically miss 27% of inbound calls. An AI voice agent closes most of that gap for under a month of a receptionist salary. Here is the setup that actually works.
AI customer support chatbot: how SMBs get 60–80% ticket deflection without hallucination
The 80/20 of customer support is that 80 percent of tickets are 20 percent of the questions. A grounded AI support agent resolves most of those without a human. Here is how to make it reliable.
The fixed-price AI project: what SMBs should demand from any AI builder
Most AI projects quoted as "fixed" are actually open-ended. Here is the checklist that separates real fixed-price work from a retainer in disguise.
AI SDR for B2B: replying to inbound leads in under 5 minutes, in your voice
Contacting an inbound lead in under five minutes increases qualification odds roughly 10x versus an hour later. Almost no SMB actually does it. Here is how an AI SDR closes the gap.
Document extraction with AI: accuracy, cost, and the 95% threshold
OCR alone stops around 70 percent accuracy, the wrong side of useful. Schema-based AI extraction crosses 95 percent, which is where manual data entry finally dies.
Local business AI stack 2026: voice + booking + reviews + missed-call recovery
Dentists, salons, clinics and trades are quietly winning with a unified AI stack: voice + booking + follow-up + reviews + missed-call recovery. Here is why it beats piecemeal tools.