How do I train the AI for my business?

You don't "train" an AI voice agent the way you'd train a human employee. You configure it — providing your business's knowledge base, writing instructions for how it should behave, choosing a voice, and tuning it based on real call transcripts once it's live. The whole process takes a few hours of your time, not weeks of onboarding.

Behind the scenes, the AI is built on a large language model that already understands language, tone, and conversation. Your configuration tells it what to say and how to say it for your specific business.

The configuration you provide

•Agent instructions — a written description of who the AI is, what it does, what it's for, and how it should handle different situations. This is the single most important thing you configure.

•Knowledge base — the facts the AI can answer from: hours, services, policies, FAQ, pricing, staff, special offers

•Voice and tone — which voice from the library, how formal or casual, how much humor, whether to use your business name in every response

•Escalation rules — when to transfer to a human, who to transfer to, what the transfer message should include

•Integrations — calendar, CRM, messaging, payment, whatever tools the AI should be able to use during a call

•Compliance settings — recording notice, HIPAA scope, PCI-sensitive flows, do-not-disclose lists

What writing good agent instructions looks like

Good instructions are concrete, specific to your business, and cover edge cases:

•"You are the AI receptionist for Cedar Dental. Your job is to answer calls, book appointments, and take messages."

•"If a caller asks about urgent dental pain, schedule them in the next available emergency slot — we always leave one open each day."

•"Never give clinical advice; if a caller asks whether something is serious, transfer them to Dr. Patel or the on-call number."

•"Greet Spanish-speaking callers in Spanish and offer to continue in either language."

•"Our office is closed on federal holidays; offer to take a message or route to the on-call line."

Our onboarding team drafts this for you based on an interview — you don't have to write it from scratch.

The ongoing tuning loop

Once the AI is live, you improve it iteratively:

•Review transcripts daily for the first week, then weekly

•Spot the failures — calls that escalated when they shouldn't have, questions the AI couldn't answer, information that was slightly off

•Update the knowledge base and instructions to cover what was missing

•Re-test with a live call or two to confirm the tuning worked

•Repeat — this loop usually drives containment from 60–70% on day one to 85–95% within a few months

What you do NOT need to do

•Train a machine learning model yourself

•Provide thousands of example calls for training data

•Label intents, entities, or utterances

•Write explicit rules for every possible caller phrasing

•Understand the underlying AI models

•Hire an ML engineer or prompt engineer

Modern AI voice platforms handle all of this under the hood. You configure the business logic; the AI handles the language.

Common tuning moves in the first month

•Add FAQ entries for questions the AI didn't know

•Refine escalation thresholds to reduce over-transferring

•Adjust tone or greeting based on caller feedback

•Add pronunciation overrides for proper names the AI is saying slightly wrong

•Expand the voice cloning source material if you have one (longer reference = better consistency)

•Create new intents for recurring call types that weren't initially anticipated

Related concepts

•How long to set up an AI receptionist?

•Can an AI answer industry-specific questions?

•What happens when the AI doesn't know the answer?

See it in action

The Receptionist Agent at 365agents ships with guided configuration and ongoing tuning support from our onboarding team. We don't just hand you a blank slate — we help you get to high containment fast.