Product
Phone AI Agents for Business
- – Automate calls and customer interactions
- – Speak naturally, without pauses or mistakes
What is a phone AI Agent?
It is a virtual employee that answers and makes calls on behalf of a human. It never misses a call and responds to customer inquiries politely. It can quickly provide service consultations, record requests, and transfer information to the CRM. The AI agent operates 24/7, scales to any business task, and costs significantly less than a live support line. Essentially, it is your new phone operator, always available and ready to assist your customers.
Why have AI Agents become essential for modern business?
Automate routine tasks
Improve customer service quality
Simulate live conversations, providing real-time answers to questions of any complexity
Reduce operational costs
Minimize errors and speed up customer service
Built on the telecom infrastructure of the KOMPaaS.tech operator
Integrated into an omnichannel telecom platform: telephony, messengers, widgets, SMS
Configurable and customizable for your company’s unique scenarios
What AI Agents can do
for engaging with existing customers
- Remind customers about outstanding payments, scheduled visits, events, and accumulated bonuses
- Complete order processing, confirm delivery times, and perform other operations
- Collect feedback: evaluate products and services, operator performance, and conduct in-depth surveys
- Identify the needs of "inactive" customers and offer personalized special deals
for rapid sales growth
- Obtain the customer's consent to start a conversation
- Identify initial interest based on a predefined script
- Gather data and qualify leads
- Handle objections according to their cause
- Connect the customer with a manager during the call
- Create follow-up call tasks
for automating incoming calls
- Acts as the first line of support
- Handles all incoming calls simultaneously, depending on the number of connected channels
- Provides instant responses:
- – Picks up the call within 1 second
- – Answers calls without any wait time
- Reduces operator workload:
- – The AI agent resolves routine issues independently
- – Transfers complex inquiries to managers
- – Allows the team to focus on high-priority tasks and difficult situations
- Increases service efficiency:
- – Customers receive answers to standard requests 24/7, including holidays
- Increases the number of issues resolved in a single call
CRM system integrations and more
Use cases
The AI agent made calls to guests 5–7 days before their birthdays and also on the eve of official holidays. During the call, it greeted the client on behalf of the restaurant, suggested celebrating the occasion at the venue, and informed them about a special birthday discount - 15% off the entire menu. If the guest agreed, the system immediately recorded the reservation in the database.
As part of the campaign, the AI agent reached over 3,000 clients, providing each with a personalized invitation to visit the restaurant. This had a direct impact on results: according to the client, the number of reservations increased by 115%. Most of the new bookings were for events, which maximized the restaurant’s profit.
Within six months of implementing the AI agent in the call center of a large multi-specialty medical center with branches in several cities, the number of missed inquiries dropped from 15% to 2%, while the volume of handled inquiries increased 2.5 times. Calls were made faster, and both missed calls and unsuccessful attempts to reach clients were significantly reduced.
Instances where a manager forgot to notify a doctor about a rescheduled appointment were eliminated entirely. Thanks to consistently polite and accurate responses, client loyalty increased, and the average transaction value grew. All of this contributed to business growth and scaling while also reducing call center staffing costs.
A federal pharmacy chain, combining a large online store with offline locations across various Russian cities, approached us. The company’s website featured a medicine reservation system that was actively used by customers. By policy, reservations were held for three days. During this period, reserved items could not be sold to other customers, which slowed turnover and reduced profits.
After implementing the AI agent, the situation changed significantly. In just the first week of operation, the share of unclaimed orders was halved and stabilized at around 9% of total reservations. According to analytics, 45% of the items released from reservation were sold within the following days.
Pricing
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