An AI assistant for business is software powered by artificial intelligence that automates routine tasks: answering customer questions, processing requests, classifying documents, and helping employees work faster.

Unlike simple chatbots, an AI assistant understands context, learns from your company's data, and integrates with existing systems — CRM, ERP, and messengers. It operates 24/7 without breaks and handles hundreds of requests simultaneously.

At Tantal, we develop AI assistants that integrate with amoCRM, Bitrix24, Telegram, and other platforms. For example, one of our clients reduced request processing time by 70%.

AI solves specific business problems that used to require dozens of hours of manual work. Here are just a few examples from Tantal's portfolio — we've completed over 400 projects across various industries:

Reducing production costs. For Donstroy, we implemented a computer vision system that automated quality control — cutting expenses on manual inspection.

Customer service automation. AI chatbots handle up to 80% of standard inquiries without human agents, freeing teams for complex tasks.

Content scaling. For marketing agencies, we build solutions that generate dozens of ad creative variations in hours instead of weeks.

Call analytics. AI analyzes sales calls, evaluates script compliance, and identifies problem areas in the sales process.

Document processing. Automated data extraction from contracts, invoices, and applications — saving over 20 hours per week for mid-sized businesses.

These are just a handful of our cases. With 400+ projects delivered, we've worked across retail, real estate, manufacturing, fintech, and more. Our team will be happy to walk you through relevant examples during a consultation.

The cost of AI assistant development depends on task complexity, number of integrations, and data volume for training:

— Basic AI assistant (FAQ bot with knowledge base, 1–2 integrations): from $1,700

— Advanced assistant (contextual dialogs, CRM integration, analytics): from $4,500

— Enterprise solution (omnichannel, custom models, complex logic): from $9,000

Key cost factors: number of use cases, need for model fine-tuning on your data, number of channels (website, Telegram, WhatsApp), and integration with internal systems.

Average payback period is 3–6 months through reduced employee workload and faster request processing.

The cost depends on the solution type and task complexity. Here are approximate prices:

— AI assistants and chatbots — from $550 (button-based bot) to $4,500+ (LLM-powered AI bot)

— Call quality control — from $1,500

— AI agents for phone calls — from $1,700

— Computer Vision — from $1,100

— Video farms — from $0.09 per video / $0.13 CPM

— SEO content — from $2.50 per article

— Custom IT development — on request

Exact pricing depends on integration scope, number of scenarios, and deployment format. For a full price list, contact our manager. Submit a request and we'll calculate the cost for your specific needs.

Business chatbot development follows 5 stages:

Audit & planning (1–2 weeks). We define bot objectives, target audience, and deployment channels. We create a scenario map — what questions and actions the bot should handle.

Dialog logic development (1–2 weeks). We design conversation flows, configure handling of common requests, and connect the knowledge base. For AI bots — dataset preparation and model fine-tuning.

Integrations (1–3 weeks). We connect the bot to CRM, payment systems, databases, and messengers. We set up two-way data exchange.

Testing (1 week). We verify all scenarios, run load testing, and test with real users. We fix any issues found.

Launch & support. Deployment, team training, and monitoring during the first two weeks. Then — regular knowledge base updates and optimization.

Total: 4 to 8 weeks from start to launch, depending on complexity.

AI video generation is the creation of video content by neural networks based on text descriptions, images, or existing video. There are three main approaches:

Text-to-Video. You describe a scene in text — the neural network generates a video clip. Technologies: Sora (OpenAI), Kling, Runway Gen-3.

Image-to-Video. A static image "comes to life" — characters move, the camera shifts. Used for animating product photos and illustrations.

Video-to-Video. AI transforms existing video: changes style, enhances quality, adds effects.

For business, this means: dozens of ad videos in days instead of weeks, personalized video content for every audience segment, and automated creation of training videos.

Tantal specializes in industrial-scale AI video generation — we build content pipelines for marketing agencies and brands. With 400+ projects delivered, we've helped companies across multiple industries scale their video production dramatically.

The AI video market evolves rapidly, but as of 2025–2026, the leaders are:

For short advertising clips, Sora and Kling deliver the best cinematic quality. For rapid prototyping and working with existing footage, Runway Gen-3 is optimal. For mass-producing "talking head" content, HeyGen and Synthesia lead the way.

It's important to understand: no single tool handles every task. Professional results require a combination of several AI tools, post-production, and expertise.

At Tantal, we work with all leading platforms and select the optimal technology stack for each client's specific needs. This is one of the key advantages of working with a team that has delivered 400+ projects — we know which tools work best for which tasks.

Computer Vision (CV) is a branch of artificial intelligence that enables computers to "see" and analyze images and video the way humans do — but faster and more accurately.

How it works: a camera captures an object → a neural network processes the image → the system recognizes what's in it: objects, faces, defects, text, human actions.

Business applications include: product quality control on conveyor lines, people and object counting, document recognition, video analytics for security, and construction site monitoring.

Tantal develops computer vision solutions for industry and business — from defect detection to smart surveillance systems. These are just some of the use cases — across our 400+ completed projects, we've implemented CV in manufacturing, agriculture, retail, and real estate.

How much does an AI call analytics system cost?

The cost of an AI-powered call analytics system depends on call volume and required functionality:

— Basic transcription + keyword search: from $1,100 for setup

— Sentiment analysis + checklist scoring: from $2,800

— Full analysis with recommendations + CRM integration: from $3,400

ROI is typically achieved within 2–4 months: the system identifies lost deals, increases call conversion rates, and reduces quality control time from hours to minutes.