10b Solutions — Custom AI Solutions for Your Business
We design, build, and support intelligent chatbots, AI automation systems, and AI-powered applications — backed by 20+ years of software engineering expertise.
AI Solutions We Build
- AI Chatbots & Assistants — Intelligent conversational agents for customer support, lead capture, and internal workflows. Multilingual, 24/7.
- CRM / HRM / ERP Systems — Custom business management platforms with AI-powered workflows, order management, invoicing, and team analytics.
- Reporting & BI Dashboards — Interactive analytics dashboards with automated reports, real-time KPIs, data visualizations, and AI-driven insights.
- AI Automation Systems — Eliminate manual work with AI-powered document processing, workflow automation, and smart business logic.
- AI Integration & Consulting — Add AI capabilities to your existing systems. Strategy, architecture review, and hands-on implementation.
- AI Support & Maintenance — Ongoing AI model tuning, monitoring, performance optimization, and technical support for your AI systems.
Our Work
- My Career Path — AI career coach with voice recognition, RIASEC profiling, and AI-generated summaries across 10 languages.
- Easy Move — AI-powered EU relocation platform with document analysis and smart matching.
- Szewc CRM — CRM with AI photo recognition for damage/brand identification, auto invoicing, and analytics.
- NutriSnap — AI nutrition coach with personalized meal plans and macro calculation.
- CV Builder — AI resume builder with content suggestions and ATS-optimized formatting.
- NieruchomosciAI — AI real estate portal with document OCR and automated translation.
- Kvartyra do Kavy — Smart booking platform with AI-assisted feedback and Telegram automation.
- Karina Real Estate — AI-driven lead qualification quiz with multi-language support.
Frequently Asked Questions
- How long does it take to build a custom AI solution?
- Most projects take 2-8 weeks depending on complexity. A simple AI chatbot can be live in 1-2 weeks, while a full CRM/ERP system with AI features typically takes 4-8 weeks.
- What industries do you work with?
- We work across all industries including real estate, healthcare, e-commerce, education, logistics, and professional services.
- Do you provide ongoing support after launch?
- Yes, we offer ongoing AI support and maintenance packages including model tuning, monitoring, performance optimization, and technical support.
- Can you integrate AI into our existing systems?
- Absolutely. We specialize in AI integration with existing CRM, ERP, and business systems.
- What technologies do you use for AI development?
- We use modern AI frameworks including OpenAI, custom ML models, React, Node.js, PostgreSQL, AWS, and cloud services.
- How much does a custom AI solution cost?
- Pricing depends on project scope. Use our free estimation quiz or chat with our AI assistant for a personalized quote.
Blog — AI Insights & Best Practices
- How AI Chatbots Cut Customer Support Costs by Up to 60% — Most businesses spend 60-70% of their support budget on repetitive tickets that AI can handle. A practical ROI framework and implementation roadmap.
- Custom CRM vs Off-the-Shelf: A Developer's Guide — Salesforce costs $150/user/month and you still need a consultant. Here is a decision framework for when custom CRM makes sense.
- RAG vs Fine-Tuning vs Prompt Engineering: Which AI Strategy Is Right? — Compare the three main approaches to making AI useful for your business, with cost and accuracy trade-offs.
- Building a Real-Time BI Dashboard: Architecture and Best Practices — How to architect a custom BI solution when Power BI and Tableau become too rigid or expensive.
- AI in European Real Estate: Automating Property Management — How AI solves multilingual lead qualification, rental management, and document processing for EU markets.
- AI Agents for Business: Beyond Chatbots to Autonomous Workflows — How AI agents autonomously execute multi-step business processes like intake, document processing, and monitoring.
- AI Document Processing: From Paper Chaos to Structured Data in Seconds — Automate data extraction from invoices, contracts, and forms with OCR and AI classification.
- Why Your AI System Gets Worse Over Time (And How to Fix It) — Model drift, data shifts, and API changes silently degrade AI systems. How to monitor and fix performance decay.
- AI for Small Business: 5 Affordable Automations That Pay for Themselves — Practical AI automations under €500/month with immediate ROI for businesses of any size.
- The EU AI Act: What It Means for Your Business and How to Comply — Practical compliance guide for businesses deploying AI chatbots, document processors, and automation in Europe.
- AI for Client Communication: Automating WhatsApp, Telegram, Email, and SMS — Omnichannel AI that unifies client communication across all messaging platforms with instant responses.
- Building an AI Personal Assistant for Your Business — AI that manages scheduling, drafts emails in your voice, prioritizes your inbox, and handles administrative tasks.
- AI Image Recognition for Business: From Photos to Actionable Data — Computer vision for product identification, damage assessment, inventory counting, and quality control.
- AI for Sales: Automating Lead Scoring, Qualification, and Pipeline Management — AI that scores leads, qualifies prospects, predicts deal outcomes, and drafts follow-up communications.
- AI Voice Assistants: Adding Speech to Your Business Applications — Voice bots, speech-to-text, call analysis, and multilingual voice technology for European businesses.
- AI for E-commerce: Recommendations, Pricing, and Personalization — Product recommendations, dynamic pricing, personalized search, and inventory optimization with AI.
- AI in HR and Recruitment: Screening, Matching, and Onboarding — Resume screening, candidate matching, interview scheduling, and onboarding automation with bias considerations.
- AI-Powered Knowledge Management: Making Your Company Data Searchable — Enterprise search with RAG that finds answers across email, Slack, Drive, and CRM in seconds.
- AI for Accounting and Financial Operations — Invoice processing, expense management, bank reconciliation, forecasting, and fraud detection with AI.
- How to Choose the Right AI Development Partner — Evaluation criteria, red flags, and questions to ask before hiring an AI development company.
- GPT-4 vs Claude vs Gemini: Which AI Model Is Best for Your Business? — Comprehensive comparison of leading LLMs for business. Strengths, pricing, and when to use each model.
- Custom AI Automation vs Zapier and Make: When No-Code Is Not Enough — Decision framework for no-code vs custom AI. The five walls businesses hit with Zapier and when to upgrade.
- AI in Healthcare: Practical Applications Beyond the Hype — Patient intake, clinical documentation, insurance claims, medical imaging, and compliance considerations.
- AI Prompt Engineering for Business: Getting Better Results from AI — System prompts, few-shot examples, structured outputs, versioning, and production prompt management.
- How to Measure AI ROI: A Practical Framework — Define baselines, track metrics, calculate costs, and make data-driven decisions about AI investments.
- AI for Marketing and Content Creation — Content at scale, SEO optimization, personalized campaigns, analytics, and quality control for AI-generated marketing.
- AI for Logistics and Supply Chain — Demand forecasting, route optimization, warehouse operations, supplier risk management, and shipment tracking.
- Predictive Analytics: Using AI to Forecast Business Outcomes — Churn prediction, revenue forecasting, demand planning, pricing optimization, and getting started guide.
- AI for Legal: Contract Analysis, Document Review, and Legal Research — Clause extraction, due diligence, compliance monitoring, and confidentiality considerations for law firms.
- Getting Your Data AI-Ready: The Preparation Guide — Data readiness assessment, quality requirements by application type, cleaning checklist, and what to do when data is not ready.
- AI for Cybersecurity: Threat Detection, Fraud Prevention, and Security Automation — Anomaly monitoring, fraud detection, phishing protection, automated incident response, and securing AI systems.
- AI for Manufacturing: Predictive Maintenance, Quality Control, and Production Optimization — Sensor-based failure prediction, automated visual inspection, production scheduling, and energy optimization.
- Open Source AI vs Proprietary Models: Llama, Mistral vs GPT, Claude — Performance comparison, cost analysis, data privacy, fine-tuning capabilities, and the hybrid approach.
- Integrating AI with Legacy Systems: A Practical Guide — API wrapper layers, event-driven middleware, RPA bridges, data considerations, and phased implementation.
- Generative AI for Business: Beyond Chatbots — Document generation, code acceleration, data synthesis, personalization at scale, and multimodal applications.
- How to Build an AI Strategy: A Step-by-Step Roadmap — Problem inventory, prioritization matrix, pilot selection, organizational capability, and scaling frameworks.
- AI Implementation Mistakes: 10 Costly Errors to Avoid — Wrong problem, bad data, wrong model, no metrics, scope creep, poor UX, no fallback, no monitoring, over-customizing, and IT-only ownership.
- AI for Education and Corporate Training — Adaptive learning paths, AI-powered assessment, intelligent tutoring, content generation, and learning analytics.
- AI for Customer Experience: Transforming Every Touchpoint — Discovery, research, purchase, onboarding, support, retention, and expansion — AI across the entire customer journey.
- AI Cost Optimization: How to Reduce API Spend by 50-70% — Model tiering, prompt optimization, response caching, batching, output control, and combined savings strategies.
- How Much Does AI Development Cost? — Transparent pricing: chatbots €3,000-8,000, CRM systems €15,000-40,000, enterprise platforms €50,000+. Cost drivers and budgeting framework.
- AI Trends 2026: What Business Leaders Need to Know — AI agents in production, multimodal AI, cost deflation, open source surge, RAG as standard, and AI governance requirements.
- What Is RAG? Retrieval-Augmented Generation Explained — How RAG connects AI to your business data. Step-by-step explanation, use cases, and comparison with fine-tuning.
- AI vs Machine Learning vs Deep Learning — Clear explanation of the differences. What each means for business, when you need which, and questions to ask your AI vendor.
- AI for Data Analysis: Turning Raw Data into Decisions — Natural language queries, automated insights, report generation, data quality monitoring, and democratizing analytics.
- AI for Insurance: Claims, Underwriting, and Fraud Detection — Automated claims processing, AI-assisted risk assessment, fraud pattern detection, and regulatory compliance.
- AI for Banking and FinTech — KYC automation, AI credit scoring, transaction fraud detection, personalized banking, and regulatory compliance automation.
- AI for Startups: Building Smart Products Without Data Scientists — API-first approach, AI features that win customers, MVP strategy, cost management, and when to invest in custom AI.
- AI Workflow Automation: Automating Complex Business Processes — Identifying candidates, automation architecture, human-in-the-loop design, common patterns, and measuring ROI.
- AI Chatbot for WhatsApp and Telegram — WhatsApp Business API vs Telegram Bot, capabilities, AI backend architecture, compliance, costs, and deployment guide.
Contact
Telegram: @pet_bir | WhatsApp: +380 93 487 8777 | LinkedIn: Petro Biriukov
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