Setting up AI call answering does not require a developer, a long implementation project, or a technical background. With Staffify AI the process takes a few hours from
start to first live call. There are four steps: connect your phone number, build your knowledge base, configure your routing rules, and test with a real call. Here is
exactly what each step involves.
Step 1: Connect Your Phone Number
You have two options for getting a phone number connected to Staffify AI.
The first option is to use an existing number. If your business already has a phone number that customers know and use, you can port it to Staffify AI or forward it to the
AI system. Number porting typically takes one to three business days. Call forwarding can be configured immediately through your current phone provider and is a good way
to test the AI before committing to a full port.
The second option is to get a new number directly through Staffify AI. New numbers are available in most US area codes and in many international markets. A new number
costs €5 per month and is active within minutes.
Either way, once the number is connected, every call to that number routes to Staffify AI before it ever reaches your team.
Step 2: Build Your Knowledge Base
The knowledge base is what the AI uses to answer your callers' questions. It is the difference between a generic AI that knows nothing about your business and one that
accurately answers questions about your specific hours, pricing, services, policies, staff, and locations.
Staffify AI supports three ways to build the knowledge base.
Website URL crawl. Provide your website URL and Staffify AI crawls the content automatically, extracting relevant information and structuring it for the AI to use. This is
the fastest starting point for most businesses. For a typical small business website the crawl completes in minutes.
Document upload. Upload PDF or Word documents containing your business information: service menus, pricing sheets, FAQ documents, staff directories, policy documents. The
AI extracts and indexes the content for search during live calls.
Plain text entry. Type or paste information directly into the knowledge base editor. This is useful for information that is not on your website or in a document: internal
policies, specific caller scripts, escalation notes, or any content you want the AI to handle in a particular way.
You do not need to cover every possible question before going live. Start with the 20 questions your callers ask most often and build from there. The call transcripts the
AI generates after every call will show you exactly what callers are asking, making it easy to identify and fill knowledge base gaps over time.
Step 3: Configure Your Routing Rules
Routing rules tell the AI what to do with different call types. There are four main routing decisions to configure.
Business hours. Set the days and hours when your team is available for transfers. Outside these hours the AI operates in after-hours mode, handling what it can and logging
the rest for morning follow-up.
Transfer rules. Define the conditions that trigger a transfer to a human: caller request, questions outside the knowledge base, frustrated sentiment, specific call types
such as complaints or high-value inquiries. Set the phone number or numbers that receive these transfers.
Emergency escalation. Configure keywords that trigger immediate escalation regardless of business hours. For property managers this might be flooding, fire, gas leak, or
no heat. For medical practices it might be chest pain, difficulty breathing, or emergency. When these words appear in a call the AI bypasses all other routing and connects
to your designated emergency contact immediately.
After-hours handling. Decide what happens to calls that arrive outside business hours and do not trigger an emergency escalation. Options include full AI handling with
booking and FAQ resolution, message taking with next-day follow-up, or a combination based on call type.
Step 4: Test with a Real Call
Before going fully live, call your own number and test the AI across the scenarios you expect to encounter.
Ask it the questions your callers ask most often. Try to book an appointment. Ask something it should not know and confirm it transfers gracefully rather than giving a
wrong answer. Call outside business hours and verify the after-hours behavior works as configured. If you have configured an emergency escalation path, test it with a safe
keyword to confirm the routing works.
Most issues that surface during testing are knowledge base gaps or routing edge cases that are quick to fix. The goal is not a perfect first test. It is finding the gaps
before your callers do.
What Happens After You Go Live
Once the AI is handling real calls, the most important ongoing task is reviewing call transcripts regularly. Staffify AI logs a full transcript and summary for every call.
Review these in the first two weeks to identify questions the AI is not answering well, calls that transferred when they should not have, and calls that resolved when
they should have transferred.
Use this data to update the knowledge base, adjust routing rules, and tune the AI's behavior. Most businesses reach a stable, well-performing configuration within two to
four weeks of going live.
The second ongoing task is updating the knowledge base when your business information changes. When prices change, services are added, or policies are updated, the
knowledge base needs to reflect the new information. An AI answering from outdated information creates a worse caller experience than an AI with no information at all.
Book a demo at staffifyai.com and a member of the team will walk you through the setup process for your specific business type.
Frequently Asked Questions
How long does it take to set up AI call answering?
With Staffify AI, basic setup takes a few hours. Connecting a phone number, building a knowledge base from a website crawl, and configuring routing rules can all be
completed in a single working session. The AI handles live calls the same day.
Do I need a developer to set up AI call answering?
No. Staffify AI is designed for self-service setup with no coding or technical expertise required. The knowledge base builder, routing configuration, and number connection
all work through a visual interface.
Can I use my existing phone number with AI call answering?
Yes. You can port an existing number to Staffify AI (takes one to three business days) or set up call forwarding from your current provider immediately. Most businesses
start with call forwarding to test the AI before committing to a full port.
What information should I put in the AI knowledge base?
Start with the 20 questions your callers ask most often: hours, pricing, services, location, booking process, and key policies. Add from there using call transcripts to
identify gaps. Document upload and website crawl are the fastest ways to populate the initial knowledge base.
How do I know if the AI is set up correctly before going live?
Call your own number and test across your most common call scenarios: routine questions, appointment booking, edge cases the AI should not know, and after-hours behavior.
Review the test call transcripts to identify gaps in the knowledge base or routing before real callers encounter them.
See how Staffify handles your customer journey