Revenue
Capture more of the opportunities already coming in.
- Answer more opportunities
- Respond while interest is high
- Follow up consistently
- Book more next steps
- Reduce forgotten leads
AI agents for business
AI agents that answer calls, respond to leads, and handle repetitive work, 24/7.
Or hear it live: +1 774 472-2790
Built for Home Services · Real Estate · Revenue Teams
The right next step, sent to the right person.
The business case
Revenue
Manual work
Flagship system · AI Receptionist
When the team is busy, after hours, or already on another call, the AI receptionist can answer and handle the conversation.
Hear It in ActionThe cost in your numbers
Use your own call volume, conversion rate, and average service price. See the revenue at risk in seconds.
Illustrative estimate. Actual results vary.
Estimated revenue at risk per month
$45,000
That’s 150 missed calls per month
Illustrative estimate based on the values you entered. Actual results vary.
Primary use case · Home Services
Roofing, HVAC, plumbing, electrical, cleaning, and landscaping teams are often working when the next customer calls.
One clear handoff. More chances to serve the customer.
Primary use case · Real Estate
For solo and independent agents who answer their own calls, every missed one can be a missed deal. BORSTEV helps close the gap between intent and action.
Handles inbound calls, asks the right questions, and books or routes the next step.
Responds to new inquiries almost immediately, qualifies buyer or seller intent, and keeps follow-up moving when needed.
Other AI agents
We build specialized agents when there is a clear commercial case.
Researches companies, monitors relevant signals, and surfaces potential opportunities for the recruitment team to review.
Organizes timely follow-up for leads that need another touch, with rules built around your process.
Handles a defined internal workflow so the team can spend more time on work that needs judgment.
How BORSTEV works
We identify where opportunities are lost or staff time is being consumed.
We agree on what the agent needs to improve, remove, or hand off.
We create and connect the system around the workflow you already use.
We track meaningful outcomes such as calls handled, appointments booked, or work removed.
A practical point of view
We don’t automate something just because we can.
We first look for a clear business problem: lost opportunities, slow response, or repetitive work consuming valuable staff time.
If there is no meaningful reason to automate it, it probably shouldn’t be built.
Works around your stack
Phone, SMS, calendars, CRM, email, website forms, and business software, connected where supported and useful.
Proof of our work
This isn't the first one.
The live demo above. Answers, qualifies, and books or routes every inbound call for a real estate business, 24/7.
Flags the moment a company is actually worth reaching out to, so recruiters spend time on warm signals instead of cold guesses.
Commenter AI surfaces which LinkedIn conversations are actually worth a salesperson's or recruiter's time, out of hundreds of daily messages.
Questions worth asking
It is designed to extend your team’s coverage when people are busy, after hours, or already on another call. Your team keeps the conversations that need a human and receives the qualified handoff.
The agent works from approved answers and clear boundaries. You decide what it can say, ask, book, and escalate. The setup includes review and refinement of those rules.
We can work with existing phone numbers and connect the handoff to the tools your process already uses where supported. Setup is handled around your criteria, routing rules, and availability.

Built by a real operator
Bogomil Stoev spent 17+ years in B2B marketing and sales before turning to AI agents. He created Commenter AI, which helps salespeople and recruiters find the LinkedIn conversations most likely to close.
BORSTEV follows the same idea: find the opportunity worth acting on, then make the next step easier.
Connect on LinkedInFind your next revenue leak
Let’s identify the processes where an AI agent could make the biggest practical difference.