Insights
What actually happens when software answers your phone. Written for people deciding whether to try it, and for people already running it.
How to tell if an AI agent is ready for your main line
A practical readiness test you can run in an afternoon, before you forward the number that your revenue arrives through.
Read itTwelve questions to ask any AI phone agent vendor
The questions that separate a product built for production from a demo with a pricing page, and what a good answer sounds like.
How AI dispatch triage works for a trades business
What happens between a customer describing a burst pipe and a technician being on the way, and which parts of it software can be trusted with.
Should you build or buy an AI phone agent?
A frank breakdown of what building your own actually involves, and the small number of situations where it is the right answer.
AI receptionist vs answering service vs voicemail
An honest comparison of the three ways to handle calls you cannot take yourself, including where each one is genuinely the wrong choice.
What a missed call actually costs a service business
Missed calls are usually counted as a nuisance. Here is how to work out what yours are worth in money, using numbers you already have.
Call recording consent when an AI answers the phone
How one-party and two-party consent rules apply when software answers, what a disclosure needs to do, and where the responsibility sits.
What AI agents get wrong, and how to catch it
The specific failure modes of AI phone agents, why they happen, and the review habits that catch them before a customer does.
Quiet hours, do-not-call and automated outbound
The constraints that govern outbound calling, why automation raises the stakes, and how to make the system enforce them rather than your staff.
Latency is the product: why response time decides if AI calls work
Why a few hundred milliseconds separates an AI call that feels natural from one that feels broken, and where the time actually goes.