Conversational AI on your phone system
An automated system that answers an El Paso business's phone immediately, understands what the caller wants in ordinary speech, deals with the repetitive requests and hands everything else to a person.
What this covers
Automated call handling on the phone system TechBit Solutions provides: a system that answers, understands what the caller wants in ordinary speech, and either deals with it or gets them to the right person.
It is a step beyond an auto-attendant. A menu asks the caller to translate their problem into a number. This asks them what they need.
What the AI actually does
- Answers immediately, so nobody waits at the busiest part of the day
- Takes a spoken request rather than a keypress
- Answers the questions that repeat: hours, address, whether you are open on a holiday
- Collects the details a person would otherwise have to ask for before transferring
- Routes to the right team based on what was said, not on menu position
- Hands to a person the moment it is out of its depth
- Takes a message properly when everyone is busy, including a callback number it has read back
Where it helps most
The gain is concentrated in a narrow band of calls: the high-volume, low-complexity ones that consume a receptionist's day and require no judgement.
- "What time do you close?"
- "Are you open Monday?"
- "Has my order shipped?"
- "Can you put me through to accounts?"
- "I need to reschedule"
- Out-of-hours calls that currently reach voicemail and are lost
Take those out and the people answering your phones spend their time on the calls that actually need a person.
What we will not automate
This is where most automated phone projects go wrong, so it is worth being direct.
- Anything where the caller is upset. Frustration plus automation makes an angry customer
- Emergencies. If your business has calls that cannot wait, those reach a human immediately
- Anything requiring judgement about a person's situation
- The complaint path. A complaint routed into an automated system becomes a worse complaint
- Sales conversations of any value, which is where the trust is won or lost
We would rather automate four call types well than twenty badly. A caller who gets stuck once will avoid your phone number afterwards.
Who it is for
- Practices and clinics drowning in appointment and hours calls
- Distributors answering the same order-status question all day
- Any business where callers reach voicemail after hours and do not call back
- Offices where one person answers everything and is interrupted constantly
- Businesses whose call volume has grown faster than their headcount
Answering in Spanish
An automated system that only speaks English is, for a large share of El Paso callers, an automated system that does not work. They wait for a person, or they hang up.
This one answers in either language, so the caller gets dealt with rather than parked. For a business whose customers are on both sides of the border, that is the whole argument for automating anything on the phone at all.
It also takes pressure off your bilingual staff, who in most offices end up fielding every Spanish call regardless of what their actual job is.
The problem it solves
The cost of a receptionist is not the salary, it is the interruption. A person answering routine calls all day is a person who never finishes anything else.
The other half is after hours. A caller who reaches voicemail at seven in the evening frequently does not leave a message and does not ring back tomorrow. That call is simply lost, and nothing in your system records that it happened.
Getting started
We begin by listening to what your callers actually ask for, which usually takes a week of call data. Building the flow before knowing that is guesswork.
See business phone systems for the platform, call center solutions if the answer is more capacity rather than automation, and AI services for AI adoption across the rest of the business.
Call TechBit Solutions at (915) 629-8888.
Questions we get asked
Will callers know they are talking to a machine?
They should, and we build it that way on purpose. Callers will forgive an automated system that is upfront and actually gets them somewhere. They will not forgive one that pretends to be a person and then cannot help, and they will not forgive the business that put it there either.
Can it replace our receptionist?
It can take the repetitive part off them: the calls asking your hours, your address, whether an order shipped. What it cannot do is the part your receptionist is genuinely good at, which is judging who on the line needs help right now. We would far rather free that person up than replace them.
What happens when it does not understand?
It hands the caller to a person. That handoff is the single most important thing in the whole build, and it is the thing most automated systems get badly wrong. We test it harder than anything else we configure.
Does it work in Spanish?
Yes. Callers are answered and understood in Spanish or English, and in El Paso that is the difference between an automated system that helps and a wall your customers hit. We still run it against your own recorded calls before it goes live, because your callers and your vocabulary are the only test that counts.
Is our call data used to train somebody's model?
That is exactly the right question, and you should be asking it of every AI vendor who comes through your door. We will get you the answer in writing for the platform we provide rather than paraphrasing it here and hoping.