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We connect AI to your data and systems, define success metrics, and launch a pilot. Then we validate ROI before scaling.
with measurable business impact
AI agents

AI agents with measurable results

Explore real use cases that delivered measurable impact in pilots and were later scaled.

Real results from AI implementations

question quiz
7
Breed recognition
messages
2 343
audio messages
78 434
photos
175 435
Alice interactive
Promo code at the end
Personalized feeding
CRM integration
users
1,044
Tool for engineers
messages
approvals
1 140
997
Typo-tolerant search
Smart search
Reduced support load
Action hub
receipts
20K+
Purina Friskies
Chatbot in the widget on the Purina promo site and main site
Goal:
Centralize the Friskies promo campaign flow on the website and reduce the burden on support.
Solution:
A chat widget on the promo page and the main Purina site that guides users through the campaign (quiz → review → receipt upload), answers FAQs, and escalates to an operator when needed.
Outcome:
The bot became the hub for key on-site actions; during the campaign users uploaded 20,000+ receipts
AVON
Chatbot for selecting gifts for men
Goal:
Deliver a fast, shareable gift-picker experience in VK for a women-focused Feb 23 campaign
Solution:
A chatbot featuring Timur Rodriguez: users upload a man’s photo, AI classifies the "type" and recommends a matching Avon product with humorous, personalized commentary.
Outcome:
Strong campaign engagement — 175,435 photos, 78,434 audio messages, and 2,343 messages recorded during the activity.
Schneider Electric
Bot for searching the technical reference guide
Goal:
Speed up handbook search and help engineers quickly find the right products and specs.
Solution:
A chatbot that accepts queries by product name/properties, searches the knowledge base and returns a ranked list of relevant answers; includes typo-tolerant trigram search and a structured table built from the original PDF.
Outcome:
A pilot "search engine" for highly specialized technical content — a practical tool for design engineers.
Sila Sveta
Chatbots for sending messages "into space" (Signal Festival)
Goal:
Let festival visitors send messages to an installation and "into space" while keeping moderation and throughput under control.
Solution:
Two Telegram bots: the user bot collects messages and runs automatic checks, while the second bot routes content for manual moderation in the client’s channel.
Outcome:
In 3 festival days 1,044 people used the bot; users sent 1,140 messages, with 997 approved and "sent to space."
Purina
Dog food selection: breed recognition by photo
Goal:
Support Purina "21 Days" participants and help dog owners transition to a new food with personalized guidance.
Solution:
A VK chatbot integrated with Purina CRM: identifies breed from a photo, collects pet details, builds a feeding plan, enrolls users into messaging, and sends tips (email/push) plus a discount coupon.
Outcome:
A personalized nutrition journey with ongoing touchpoints that keeps users engaged throughout the program.
Karcher
Quiz in Alice about cleaning (Skill)
Goal:
Engage users with an interactive experience, teach cleaning tips, and finish the flow with a discount promo code.
Solution:
An Alice skill built as a quiz: 7 questions with 4 answer options, helpful feedback after each choice, and a compact numbered list format so all options fit in one message.
Outcome:
A light "learn + play" promo mechanic that keeps attention and naturally leads users to the final promo code.

AI agents for your workflows

Integrated into your systems and managed against clear performance metrics
Context-aware answers
Document processing
Knowledge base search
EORA Corporate RAG Agent
Searches for information across documents and systems.
Type: ready-made solution with customization options
Segment: B2B, companies with large volumes of data and documents
For: IT / knowledge management / operations teams
Reduced operator workload
24/7 support
Request handling
EORA Operator
Processes requests and responds to customers.
Type: solution adapted to the company’s processes
Segment: B2B, companies with customer service operations
For: customer support / contact centers / customer service teams
Onboarding and FAQ
Internal services
Employee support
EORA HR Agent
Automates internal HR requests and employee support.
Type: solution adapted to internal processes
Segment: B2B, companies with employee teams
For: internal communications / administrative services
Dashboards and reports
Financial metrics
Sales analytics
EORA Finance Agent
Analyzes data and helps manage financial metrics.
Type: SaaS product
Segment: B2C and B2B, marketplace sellers and e-commerce businesses
For: e-commerce / sales / finance
Set up monitoring, make regular improvements, and expand integrations.
Go-live
5
calculate ROI, production rollout costs, and support costs.
Impact calculation and scaling plan
4
run the pilot, collect performance data, and improve scenarios.
Pilot and quality criteria
3
review data sources and configure roles and permissions.
Connect data sources and set access permissions
2
identify scenarios where impact is easiest to measure: time saved, workload reduction, conversion, or SLA.
Process assessment and selection.
1

A structured implementation process

We focus on KPIs and economic impact before scaling the solution.
Vikulya cites sources and answers based on current content. XinData requires authorization and provides read-only access to data.

AI agents work with data and systems, not just text

Sources in answers, access rights, and monitoring of quality and costs
Control and improvement
CRM, ATS, financial systems, and APIs
Actions through integrations (where required)
Documents, policies, and the company knowledge base. Answers are based only on the sources you provide.
Company knowledge as context (RAG)
Chat, voice, or corporate messengers
Requests through familiar channels
For AI to work reliably, it needs to be managed like any other business process.
Production monitoring and analytics
Link AI spend to business outcomes and KPIs
Understand what drives the cost of each process
Control token usage and infrastructure spend
Know which models and tools are used in each scenario
Track agent actions and performance in real time
View platform demo

Implementation into existing infrastructure

Deploy AI agents in any cloud, channel, or model. Integrate them directly into critical workflows across your contact center, CRM, ITSM, and other enterprise systems.
Choose an AI agent for your process
During a 20−30 minute, we’ll review your request, assess the implementation benefits, and propose a solution.
Need help?
We’ll answer your questions and help you choose the right solution. If there’s no ready-made agent for your use case, we’ll create one. Then we’ll configure it for your needs.
Submit your request