Project snapshot

Client

AVER, Latvia-based real estate agency

Request

Automate calling and lead qualification operations and integrate with the client’s existing sales processes and CRM workflows

Solution

A custom AI calling agent built on Oxagile’s technology accelerator

The impact in numbers

100

calls per phone number

54.5%

contact reach rate

$10

qualified lead cost

The business case that brought AVER to us

“For a company our size, we didn’t think this level of customization and delivery speed was possible. The AI calling agent has been contributing to at least three solid deals a month.”

— Sales Manager, AVER

“As a real estate agency, a large part of our sales processes depends on timely communication with potential buyers and sellers. We handle a high volume of leads, and every missed call or delayed follow-up can mean a missed opportunity. That’s why automating some of our calling operations is so important to us.

Our goal is to increase the volume of calls we handle without adding more workload to our existing sales team. We need an AI calling agent that can manage both inbound and outbound calls, qualify leads, schedule follow-ups, and work seamlessly with our existing CRM and sales flows. Most importantly, the AI needs to understand our sales methodology and adapt to the scripts’ style our team generates.”

— Sales Team Manager, AVER

How we balanced speed, customization, and budget

Our priority was to make the AI calling agent fit AVER’s existing sales operations and deliver it at lower costs, so we used our technology accelerator as the foundation. Its core calling, lead qualification, and follow-up capabilities allowed us to focus on tailoring the solution to AVER’s CRM and sales workflows.

We adapted AVER’s sales training guidelines into AI-ready scripts and conversation flows that reflected their tone of voice and communication strategy. This approach accelerated delivery, keeping the project within the planned development budget.

— Dmitry Karpovich, Founder of Oxagile

What happens when an AI call center operates without a human in the loop? Here’s the technology we built to bring it to market faster for our clients.

Meet the AI calling agent

Automated calling

The AI agent handles both incoming and outgoing calls.

Lead qualification

The agent conducts pre-scripted and personalized conversations, qualifies prospects, and identifies leads that require further sales attention.

Automated follow-ups

Scheduled follow-ups allow prospects to be contacted without requiring manual intervention from the sales team.

CRM integration

The AI calling workflow is connected with the client’s CRM for relevant leads and call information to flow into the existing sales process.

Connecting the AI calling agent to the client’s CRM

The AI calling agent integrates with AVER’s CRM to keep customer context and call outcomes in sync throughout the funnel. Here’s how we translated the sales challenges caused by manual processes into integration requirements:

First contact

  • New leads pulled from the CRM or connected source
  • Funnel stage used to select the calling flow
  • Qualification captured during the call
  • Outcome and transcript written back to the CRM

Callback follow-up

  • Callback requests and timing captured automatically
  • Previous conversation context loaded before the next call
  • Follow-up continues from where the last conversation ended
  • Latest outcome synced to the CRM

Interested leads

  • Deal stage determines the next conversation
  • Existing contact and opportunity context loaded
  • Stage-specific qualification and follow-up
  • Handoff to a sales representative when needed

Known contacts

  • Caller matched to the existing CRM contact and deal
  • Previous conversation context retrieved
  • New interaction recorded against the same CRM record
  • Deal updated based on the conversation outcome

Unknown callers

  • New callers qualified against the inbound flow
  • Relevant lead information captured
  • New contact or deal created when appropriate
  • Transcript, summary, and next action added to the CRM

Turning sales expertise into AI-ready conversations

Step 1

Analyze existing sales materials

Oxagile worked with the client’s team to turn their sales knowledge, messaging, qualification criteria, and techniques into a clear foundation for the AI agent.

Step 2

Build AI-ready conversation flows

We transformed the educational materials into structured call scripts and conversation flows tailored to the agent’s role and the client’s sales methodology.

Step 3

Test with real prospects

The team tested the agent within small groups of prospects, with call recordings manually reviewed to identify gaps and opportunities for improvement.

Step 4

Refine and retest

Oxagile incorporated feedback from the client’s sales team, optimized the scripts and responses, and continuously retested the agent based on real interactions.

Optimizing real-world conversations

Challenge

Live customer calls revealed cases that were difficult to anticipate during initial script development. Customers interrupted the agent, spoke over it, responded unexpectedly, or called from noisy environments.

These situations could cause the agent to misinterpret the conversation, follow the wrong dialogue path, or respond less naturally than expected. Standardizing the agent’s behavior across such scenarios became an ongoing challenge.

How we solved it

Our team introduced a continuous call-review and optimization process. We manually reviewed call recordings and transcripts to identify specific failure points, such as interruptions, misunderstood responses, awkward transitions, and incorrect dialogue paths.

Then we combined these findings with feedback from the sales team and translated them into targeted updates to the agent’s prompts, scripts, and response logic. Finally, AVER tested new script versions in live calls.

Delivering real value and client satisfaction

“Oxagile quickly understood how our agency works and built an AI calling agent around our actual sales process. It now handles our first calls, qualifies leads, and gives our agents everything they need to follow up. The AI call center has been contributing to at least three solid deals a month.

What impressed us most was how fast Oxagile delivered such a customized solution. They worked with us as a true partner, continuously improving the system based on our team’s feedback. For a company our size, we didn’t think this level of customization and speed was possible.”

— Sales Manager, AVER

“This product is an important proof point that voice agents, in particular AI-driven ones, create tangible business value for customers. It has also changed the way we think about working with customers.

Today, we are moving toward a much more outcome-driven model: focusing first on the business value we can create and then aligning our commercial model with them. That’s why we proposed an outcome-based pricing model, because we believe we should work in synergy with the value we deliver.”

— Dmitry Karpovich, Founder of Oxagile

Scale your calling operations without scaling your team

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