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Your tasks — our solutions
C‑level
Transparent case studies and trade-offs
We help you choose the processes where AI agents truly pay off: we estimate implementation costs and business impact, prepare the data, and train your team to use the solution effectively.
ROI and FTE impact assessment
8 weeks pilot
AI/ML Director
We help you launch AI agents in production quickly and safely: select the right stack, design the architecture, connect data and systems, set up quality evaluation, and implement security controls.
Security, PII, compliance requirements
Quality metrics, testing, monitoring
Architecture, integrations, access control
Contact Center Head
Fast pilot on 1–2 use cases
Higher quality and script compliance
Lower AHT and line load
We deploy AI agents that reduce agent workload and improve service quality: automate responses, provide real-time agent assist, and handle repetitive requests with CRM/telephony integration.
HR Lead
We roll out HR agents for routine tasks and employee support: Q&A, onboarding, access/requests, document collection, and guidance on internal policies — without losing context.
Centralized knowledge base and quality control
Request and document automation
24/7 onboarding and HR FAQ
CFO / Finance Director
We make AI implementation predictable for your budget: calculate TCO and impact, define KPIs, set up cost and quality controls, and help choose the right procurement and scaling model.
Governance: security, compliance, quality
ROI model and KPI-based financial control
TCO: licensing, infrastructure, support
Why companies bet on AI agents
Risk and quality controls included
built-in metrics, logging, evaluation cycles, and escalation to humans
Work with your systems
pull data from CRM/ERP and internal services; create tasks and tickets
Understand requests more deeply
they build an action plan, not just a text response
Chatbots answer based on scripts and quickly hit limitations. AI agents work with context, data, and systems—helping complete real workflows, from customer support to internal tasks.
We built a scenario library for different functions—from contact centers to internal employee services and finance.
Ready agents and proven use cases
Agents
Finance Agent
speeds up access to key metrics and reports; helps answer questions about budgets and variances
HR Agent
helps with onboarding, benefits, PTO/vacation and other common employee questions
Contact Center Agent
answers common requests in chat and voice, uses internal systems, and hands off complex cases to operators
Corporate RAG Agent
finds documents, policies, and emails across the company with access control and helps quickly draft answers and messages
Cases
Karcher
Purina
AVON
Purina Friskies
question quiz
7
Breed recognition
messages
2 343
audio messages
78 434
photos
175 435
Alice interactive
Promo code finale
Personalized feeding
CRM integration
Sila Sveta
Schneider Electric
users
1,044
Engineer tool
messages
approved
1 140
997
Typo tolerant
Smart search
Support relief
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.
Platform and a team that help you go beyond pilots
Platform and expertise
EORA Expertise
Understanding of both ML and business processes
Experience with large enterprises and the public sector
Focus on agent and RAG solutions
60+ AI projects across industries
A team that has delivered dozens of projects and knows what works in practice:
EORA Platform
On-prem for security requirements
Monitoring, logs, evaluation cycles
MCP integrations with your systems
RAG search and semantic retrieval
Integration of enterprise sources and intelligent document processing
A single foundation for data, search, and agent orchestration:
The first consultation is free and carries no obligation.
propose a format: ready-made agents or an AI Sprint.
estimate the potential economic impact;
review your processes and hypotheses;
Leave your contact details—we'll have a 30-minute call where we will: