AI integration and business process automation

Ecommerce and retail

• demand forecasting and inventory management;
• personalized product recommendations for customers;
• around-the-clock customer support chatbots;
• recommendation systems;
• automation of routine marketing tasks.

Service businesses

• automated appointments and bookings;
• initial consultations handled by AI agents;
• AI lead qualification and quick identification of priority requests;
• customer satisfaction analysis.

SaaS and IT companies

• automation of internal work: testing, documentation, support;
• LTV and customer churn forecasting;
• AI lead qualification to increase conversion.

Financial sector

• credit scoring;
• fraud detection;
• automated portfolio optimization;
• marketing mix models (MMM) and AI targeting that forecast marketing results;
• automated checks and document recognition.

Healthcare

• reliable and secure AI cloud for medical data;
• needs forecasting;
• higher diagnostic accuracy;
• automated patient appointments and notifications.

Marketing

AI solutions:

• ML targeting and AI audience segmentation;
• LTV forecasting;
• AI agents that create texts and banners following your brand guidelines;
• AI agents for social media marketing.

Business results:

• ads are shown only to a relevant audience;
• LTV and the share of returning customers grow;
• routine work takes fewer hours of the team's time.

Sales

AI solutions:

• lead qualification around the clock;
• call and negotiation analysis;
• bots and AI assistants for the sales team.

Business results:

• sales growth with the same team;
• managers work more efficiently;
• the funnel converts faster.

Demand forecasting and planning

AI solutions:

• predictive analytics for inventory management;
• calculating how many materials and production resources will be needed.

Business results:

• more accurate planning and lower losses;
• shortages of products and materials are anticipated in advance.

HR and recruiting

AI solutions:

• resume screening and assessment of candidates' soft skills;
• an AI onboarding assistant;
• early signals of employee burnout or attrition risk;
• AI-assisted employee training.

Business results:

• faster hiring and lower staff turnover;
• a stronger and more motivated team;
• new hires settle in faster in their first months.

Customer service

AI solutions:

• Conversational AI: voice agents and chatbots built on NLP and machine learning;
• customer emotion and sentiment analysis.

Business results:

• customers get support at any time of day;
• less load on the support team;
• better service quality and more satisfied customers.

AI agents

Autonomous AI agents for business are systems that perform complex multi-step tasks on their own:

• agents that conduct research and gather information;
• combinations of several agents for complex business processes;
• assistants with access to APIs, databases and files;
• agentic workflows: chains of actions that run without a manual start;
• decisions are made automatically, but a person approves the key steps (human-in-the-loop).

Generative AI and content

LLMs (large language models) and other generative technologies create original content:

• texts: from articles and product descriptions to emails and scripts;
• copywriting in your brand's tone of voice;
• AI-generated and AI-edited images for banners, creatives and product photos;
• video and animation;
• a separate content version for each audience segment;
• automated translation and localization.

Predictive analytics

Models predict future events and trends based on accumulated historical data:

• models that predict demand, sales, LTV, risks and data anomalies;
• Marketing Mix Modeling: how much each advertising channel brings in, plus segmentation models.

Conversational AI

Intelligent systems for communicating with customers and employees:

• context-aware AI chatbots for customer support;
• Voice AI: voice assistants in IVR and telephony;
• sales bots for lead qualification and consultations;
• assistants for employees themselves, such as an HR bot or IT support;
• integration with CRM, ERP and corporate knowledge bases.

Document analysis (IDP)

AI for contracts, invoices and other business documents (Intelligent Document Processing):

• recognition (OCR) of contracts, delivery notes and invoices;
• documents are sorted by type and sent to the right department automatically;
• pulling the details you need from both structured and unstructured documents;
• data checks and confirmation (validation and verification);
• automated document generation from templates.