We embed AI into sales, service, and internal operations
We design and launch AI systems connected to CRM, data, and business rules—with quality control and a clear operational outcome.
Define the outcome before we start
We agree the MVP scope, working scenarios, and acceptance criteria before development begins.
One accountable delivery path
Key decisions, timelines, and acceptance criteria stay under one delivery owner.
You receive the code and documentation
The repository, system design, and deployment instructions remain with your company.
Launch is not the finish line
We support the system, fix issues, and improve it using real operating data.
AI system design and implementation
Process audit, pilot, integrations, analytics, production launch, and operational support.
AI24 Academy
Practical programs, portfolio projects, corporate training, and career preparation.
Where to start with AI in your business
Start with a process where the business is losing revenue, speed, or control—not with the technology. We define the problem and measurable outcome first, then choose the architecture.
Inquiries are lost between channels
We connect the website, Telegram, and CRM, qualify the request, and assign an owner.
The team repeats the same manual steps
We automate data capture, documents, notifications, and routine actions across systems.
Management lacks reliable data for decisions
We bring metrics together from operating systems, identify deviations, and turn them into clear signals.
What AI can take on in the first phase
You do not need to automate the entire company at once. Start with a process where inquiries, staff time, or management visibility are being lost.
Leads and pipeline
Initial response, qualification, lead capture, and the next action for a manager.
ServiceCustomer inquiries
Answers, booking, request routing, and handoff of complex cases to staff.
AnalyticsData and control
Loss drivers, customer behavior, reports, alerts, and clear conclusions.
OperationsInternal processes
Documents, approvals, statuses, training, and repeated team actions.
Digital products built by AI24Solutions
AI24 Persona Studio
Digital brand representatives kept under team control.
- Consistent brand voice
- Knowledge and rules in one place
- Human review before publication
AI24garden
A smart ecosystem for nurseries and private plant sellers.
- Seller storefronts
- Structured plant catalogs
- Simple search and interaction
SportMethod
A digital system for managing methodology and the training process in a sports school.
- Methodology and annual planning
- Training sessions and results
- Athlete analytics
Песня в подарок
A personal song based on your story — a warm gift for someone important.
- Your story at the core
- Lyrics, music, and vocals
- A gift for a meaningful occasion
See working products and user flows
Each case shows the business problem, the user flow, and the operational result delivered after launch.
Business AI platform
A unified system for data, AI generation, review, analytics, and governed workflows.
View case → Healthcare · TelegramAI assistant for medical centers
Inquiry qualification, service routing, lead capture, and handoff to administrative staff.
View case → Product case · SportMethodAI24Solutions productSportMethod: a digital system for sports schools
Methodology, annual planning, training sessions, plan versus actual, roles, and analytics in one AI24Solutions product.
Open product case → CRM · automationTelegram CRM for inquiries and communication
Customer management, notifications, roles, integrations, and production deployment.
View case →Set the priority first. Then build, launch, and train the team.
This gives the company a coherent system that can evolve step by step—not a collection of disconnected tools.
AI audit
Shows where automation will have an impact, which scenarios to launch first, and what can realistically pay back.
Learn more →AI assistants
Handle inbound inquiries, qualification, booking, knowledge-based answers, and first-line service.
Learn more →Voice AI
Supports calls, scheduling, reminders, and recurring conversations without sacrificing quality.
Learn more →AI platforms for business teams
Bring roles, interfaces, data, integrations, analytics, and AI capabilities into one product.
Learn more →Practical AI training
Helps teams use AI on real company work rather than only learning theory.
Learn more →AI agents and advanced automation
Suitable for multi-step workflows where the system executes a controlled sequence of actions.
Learn more →A clear path from business problem to working system
Before development, we define what will be automated, how success will be measured, and what happens when something fails.
Assessment
We map the customer journey, roles, data, time losses, and current tools.
Architecture
We define the MVP, integrations, data model, risks, timeline, and acceptance criteria.
Development
We build the system in modules and demonstrate working releases throughout the project.
Launch
We deploy the system, connect monitoring, and hand over the code, documentation, and operating instructions.
A customer request becomes a business action
AI does not remain a separate chat window. It interprets the request, records the data, triggers an approved action, and shows the employee what to do next.
Learn to build and implement AI systems—not just write prompts
Applied programs for professionals and corporate teams, with portfolio projects, career support, and real workflow practice.
Guidance for sound AI decisions
How to evaluate the use case, business case, security, quality, and pilot outcome before development begins.
How to tell whether your company actually needs AI
A practical framework for deciding when a business task genuinely needs AI—and when conventional automation, integration, or process redesign will work better.
Read →02How an AI process audit works
A professional AI audit covers the process map, data, business case, risks, architecture options, and pilot selection.
Read →03How to build the business case for an AI project
A practical model covering the current process, expected impact, error costs, implementation, operation, and pilot stop criteria.
Read →04How to choose the first process to automate
Choose the first process by measurability, repeatability, data quality, risk, integration complexity, and the ability to validate impact quickly.
Read →Choose the next step that fits your situation
You do not need a finished brief to begin. You can first explore the approach, assess one process, or share a task that is already defined.
See how implementation works
Review the methodology, constraints, validation stages, and criteria used to approve an AI project for a pilot.
Explore the methodology →Assess the first process
Identify where time or quality is being lost and determine whether the task needs AI or conventional automation.
Assess a process →Share the task with a specialist
Briefly describe the situation. We usually respond within one business day and will not call unless we arrange it with you first.
Submit the task