Blind spot in calls
No visibility into call quality, missed selling points or reasons for refusal.
AI automation studio
Our AI will lift your sales in 60 days
We find growth opportunities, embed AI into the key steps and lift conversion without losing quality. We build AI solutions around your data and KPIs, so customers get a stable experience and your team works more effectively.
- 2–4 weeksto MVP with measurable impact
- RAG + LLMon your data, no "magic"
- ROI focusperformance metrics every sprint
Where business loses money without AI automation
Teams are stuck on manual work and analytics lags behind. As a result, customers wait, employees burn out, and processes scale only by hiring more people.
Old customer base brings no sales
Reactivation runs manually and revenue stays locked in the "sleeping" segment.
Chats don't convert
Replies are slow and lack sales scenarios — leads go to competitors.
Every day without automation is lost revenue.
While processes stay manual, competitors speed up the deal cycle and improve customer experience. We see the same pattern: 10–20% of leads lost to delays, rising operational costs and the risk of data errors.
⏱️ Slow request handling cycle
⚠️ Errors in data hand-off
📉 No visibility into performance
An AI system tailored to your processes: from diagnostics to operations
We design custom automations around sales and service goals. Below are examples of typical solutions that often deliver quick results. Everything integrates with CRM, telephony and communication channels.
01
Diagnostics and process map
We find bottlenecks, calculate the economic impact and identify quick wins.
02
MVP and measurable metrics
We launch a prototype in 2–4 weeks and establish baseline KPIs.
03
Integration and scaling
We connect data sources, automate routine tasks and set up SLAs.
Automation example
Call analytics
Brings visibility into conversations and uncovers the reasons for losses in the funnel.
- Recognizing and tagging topics and objections
- Script and offer adherence
- Refusal reason map and team-level trends
Call Analytics
ManagerScoreRecommendation
Irina4.6Strengthen the offer
Anton3.9Handle objections
Maria4.2Clarify the need
Sales Bots
Interesting. Could I see a case study?
Sure, I'll send 2 case studies and an impact estimate.
When is a good time for a call?
Automation example
Sales and reactivation chatbots
Automate the conversations that bring customers back and move them toward purchase.
- Sales, upsell and reactivation scenarios
- Lead qualification and data capture
- CRM integration and campaign launches
What business gets after rollout
Sales focus: higher conversion, returning "sleeping" customers and quality control.
+22%
deal conversion uplift
Call analytics surfaces weak spots and improves seller effectiveness.
+15%
revenue from customer base reactivation
Bots bring customers back through personalized scenarios.
×1.4
lead handling speed
Chatbots reply instantly and pass qualified leads to the sales team.
"Call analytics showed us where managers were losing deals. Conversion grew in the first month."
"Chatbots brought back customers from our old base and gave us a steady upsell stream."
A clear rollout process without risk
Every stage is transparently agreed, with clear deliverables and checkpoints.
- Discoverywe capture sales goals and review calls and the customer base.
- Designwe design the analytics and chatbot scenarios, KPIs and integrations.
- Deliverywe launch the MVP, train the models, integrate the CRM and measure the sales impact.
- Scalewe tune scenarios, add new channels and provide ongoing support.
Frequently asked questions before kickoff
What does your call analytics system do?
It automatically transcribes calls, scores quality across dozens of parameters and gives managers concrete recommendations.
How does this help increase sales?
The system surfaces weak spots in calls, reinforces phrases and scripts that work, and lets you scale best practices across the whole team quickly.
What reports will I receive?
Managers get daily personal reports with mistakes and tips; team leads get a regular summary of quality dynamics and team effectiveness.
Can the service be used for staff training?
Yes — we build a library of best calls and typical mistakes that you can use to onboard new hires and develop existing managers.
What does the knowledge-base chatbot do?
It answers typical customer questions 24/7 using your FAQs, policies, articles and documents, and routes complex requests to a human.
What if we have different types of calls in the company?
The system automatically detects the call type, and you can configure different rules for each type.
What does the customer reactivation chatbot do?
It automatically sends personalized messages to your old customer base, brings people back into a dialogue, warms them up and moves them to the next step (request, call, meeting).
How is the effectiveness of chatbots and call analytics measured?
By the number of requests closed without a human, conversion growth into requests and deals, the share of successfully handled dialogues and changes in sales metrics over time.
Next step
Let's book a call and map out how to bring AI into your business
Leave your number — we'll discuss where AI can deliver the biggest impact, fastest.