Before
Routine inbound calls need a person on the line all day, for questions with the same answers.
After
Routine calls are handled. Staff take only the ones that need a human.
Routine inbound calls need a person on the line all day, for questions with the same answers. Routine calls are handled. Staff take only the ones that need a human.
The phone rings all day. Most calls are the same handful of questions: where is my order, what are your hours, can you confirm you received it. Someone answers every one, because a caller cannot tell the routine ones from the ones that matter.
The person on the phone cannot do anything else. The calls that need real help wait behind the ones that do not.
Call a fully loaded employee $45,000 a year, as an illustration. When answering routine calls is a whole job, that is 40 hours a week of a person's time spent giving the same answers.
Typical figures, using $45,000 as an illustrative fully loaded cost. Your numbers go in the calculator below. If your version is a couple of hours a week, that still counts.
We build a voice agent that answers the phone, understands what the caller is asking, and handles the routine questions using your own answers and your own records. It can look up an order, confirm a receipt, or take a message.
When a call is not routine, the agent hands it to a person, with a note on who is calling and why. The person picks up already knowing what the call is about.
This is AI. Plain automation handles most repetitive work, and we use newer tools only where they clearly earn their place. Listening to a caller is one of those places. A person checks the edges at first, and the agent only answers questions you have approved.
What the staff get back is the phone. They take the calls that need them and nothing else.
Is this AI?
This one uses AI, and we say so. Callers do not follow a script. Understanding what someone is asking in their own words is judgment, and plain automation cannot do it. The voice agent handles the routine questions. Everything else goes to a person.
Automation vs. AI: which one your task needsBefore
Routine inbound calls need a person on the line all day, for questions with the same answers.
After
Routine calls are handled. Staff take only the ones that need a human.
Real work from real clients, with the names left out. What matters is the shape of the problem, and how often we see it.
This kind of project
More involved, quoted to the scope
A voice agent needs your answers written down, a connection to the records it looks up, a clean handoff to a person, and time in testing before it takes real calls. It also has a running cost per call. That makes it more involved than a scheduled script, and we quote it to match.
Set to the typical figures for this task. Change them to match your team, however small the number.
Hours a week, times the people doing it, at whatever a person costs you. $45,000 a year is an illustration; set it to your own figure.
People doing this work
1
Hours each, per week
Half an hour counts. 40 is a full week.
40
Fully loaded cost per person, per year
Salary, benefits, taxes, overhead. $45,000 is an illustration; set it to yours.
$45,000
Time spent on this task
40 hrs / week
About 2,080 hours a year of a person's time.
These figures show the value of time spent on the task, not a project quote or guaranteed cash savings. We will help estimate what can realistically be automated.
Every morning, every Friday, or every time an order comes in. Small tasks and larger workflows are both welcome. The evaluation is free, and if we take it on, first deliverables are running in your operation within 30 days of kickoff.
Free evaluation. Fixed quote before work begins.
Automation, AI where needed
Automate status checks and follow-up calls that put someone on hold every afternoon
The checks happen on their own. Exceptions come back with everything already filled in.
Plain automation
Automate sending the same reminder on a schedule
It goes out on schedule with the right details, and only to the people who still need it.
Everything we automate
Fourteen tasks, each with what it takes today, what we build instead, and what shapes the scope.