AI Receptionists for Finance: answer every call and book every appointment.
AI Receptionists set up for finance, connected to your tools and run by your rules. Rent the ready-made version and go live within hours, or get a custom build live in 5 business days.
SEE IT WORK
- Incoming callA caller asks for help
- AgentAnswer in one ring, 24/7
- In your toolsBook into your calendar
- DoneAnswer FAQs
THE PROBLEM IN FINANCE
Teams in finance lose hours and revenue to work that AI receptionists can handle. We build the agent around your process, so your people spend their time on the work that needs a human.
WHAT IT DOES FOR FINANCE
- Answer in one ring, 24/7
- Book into your calendar
- Answer FAQs
- Transfer with context
- Take messages
- Send reminders
WORKS WITH YOUR STACK
- Salesforce
- DocuSign
Connected to your systems and set up for your compliance rules. Live in 5 business days.
Book a meeting with us nowThe proven version, live within hours, with a 30-day money-back guarantee.
Get the agent nowQuestions
How fast can it go live?
The ready-made agent goes live within hours. A custom build for your workflow goes live in 5 business days.
Does it fit our tools?
Yes. It connects to tools like Salesforce and DocuSign, and to anything else through a secure API.
Is our data handled properly?
Data is encrypted and every action the agent takes is logged. Compliance status: SOC 2 in progress.
What teams in finance say
“We tried building this ourselves and gave up after three months. They had the AI receptionist running inside our own tools in days. Since then after-hours calls turn into booked visits instead of hang-ups, and any change we ask for is done that week.”
“We started with lead qualification. A month in, every inbound lead gets a reply in under a minute, nights and weekends included. We added client servicing after that, and I can't picture running the place without it now.”
“I was the skeptic here. I'd been burned by software that promised a lot and needed babysitting. Thirty days after the AI receptionist went live, no-shows dropped from 18% to 6%. Now I'm the one asking what we automate next.”