Aventa – AI Corporate Transformation Platform

To establish a unified corporate AI platform that enables the secure adoption, scaling, and management of artificial intelligence across the company.

Key objectives:

·       Provide employees with fast access to corporate knowledge through AI-powered search and intelligent assistants.

·       Automate repetitive tasks across HR, support, legal, and other departments.

·       Embed AI directly into business processes and corporate information systems.

·       Enable business units to independently create AI assistants and agents without requiring dedicated development.

·       Establish a unified AI Gateway for centralized management of on-premise and cloud-based models, access rights, budgets, and token consumption.

·       Ensure secure AI adoption by developers through Aventa Code.

·       Establish a unified framework for measuring AI performance, including adoption, quality, productivity, and business impact.

2026

RESULTS (Q3 2026)

·       3,259 platform users, representing 37% growth over two quarters.

·       Adoption Rate: 86.6%.

·       More than 840 Monthly Active Users (MAU).

·       More than 700 AI assistants created.

·       User satisfaction rate: 84%.

BUSINESS IMPACT

HR: 59% reduction in routine requests (from 164 to 67 per month), saving approximately 9 h. of specialist time monthly.

Contact Center: Automated quality monitoring of 100% of customer conversations, compared to the previous 10% sample-based approach. Review time reduced from 10 min. to less than one minute. More than 65,000 checks completed in September 2026.

Support: Saves 30–45 min. per employee daily; automatically resolves 80–90% of repetitive inquiries; accelerates new employee onboarding by 2–3 times.

Legal: NDA preparation reduced to 5–10 min. from 1–2 h.; up to 30% of routine internal inquiries are resolved automatically.

Aventa is an enterprise AI platform that unifies corporate data, AI models, tools, and business processes in a centrally managed environment.

It supports cloud and local LLMs, Generative AI, RAG, AI agents, semantic search, and MCP. Key capabilities include corporate AI search and assistants, AI agent building, reusable Skills, secure execution environments, and integration of AI into business workflows. It connects to enterprise systems such as Jira, Confluence, Microsoft 365, and Google Drive.

AI Gateway provides unified model access, intelligent request routing, budget allocation, token and cost tracking, access control, and usage analytics.

Aventa Code integrates AI into software development while protecting source code and corporate data.

The platform supports Private Cloud, On-Premise, and Hybrid deployment, GPU infrastructure, role-based access control, data isolation, and enterprise security policies.

The project does not use solutions from the Global CIO catalog

The project operates in a large-scale corporate IT environment with diverse information systems, sensitive data, and strict security requirements.

Key challenges include:

· Ensuring secure corporate data access while preserving original permissions during retrieval and processing.

· Developing local inference infrastructure and supporting language-specific requirements, including Kazakh.

· Integrating AI into existing business processes and enterprise systems without disrupting employees' workflows.

· Supporting multiple AI models through unified management of usage, access rights, and costs.

· Scaling from dozens to hundreds of AI assistants without proportionally increasing development and maintenance resources.

· Establishing a unified framework for evaluating AI quality and measuring business impact.

· Transforming individual AI solutions into centrally managed, scalable enterprise-wide infrastructure.

CHALLENGE

Corporate knowledge was scattered across multiple information systems, forcing employees to spend considerable time searching for documents and standard answers.

HR, legal, and service departments manually processed large volumes of repetitive requests, while customer interaction quality monitoring covered only a fraction of all conversations. Every new AI use case required separate development and integration.

The use of public AI services also created risks of confidential data exposure. The company needed a unified infrastructure to securely deploy AI, centrally manage its usage, and measure its business value.

SOLUTION

Aventa, an enterprise AI Transformation Platform, was developed to bring together three key components.

1. Aventa Platform – Enterprise AI Agents and Process Automation

Provides intelligent search across corporate knowledge, source-based answers, and self-service tools for creating AI assistants and agents. Supports integration with enterprise systems through APIs and MCP, including Confluence, Jira, and Microsoft services. Enables AI to be embedded directly into business workflows, including contact center operations and IT Service Management (ITSM).

2. AI Gateway – Unified AI Model Management Infrastructure

·       Establishes a single access point for local and cloud-based AI models through a unified API.

·       Key capabilities include:

·       Model Routing – selecting the most suitable model based on the task, cost, and performance.

·       Budget Management – allocating budgets across departments and teams.

·       Token & Cost Tracking – monitoring token consumption and request costs.

·       Access Management – managing user access rights.

·       Security & Compliance – controlling model usage and data transfers.

·       Usage Analytics – monitoring workloads, costs, and performance.

·       This enables the company to move from fragmented AI service usage to centralized management of its AI resources.

3. Aventa Code – AI for Software Development

Provides developers with secure access to AI models through the corporate gateway and IDEs, enabling centralized control over model selection, costs, access rights, and security policies when working with source code.

Kazakhstan.

Four pilot projects are currently underway with external clients across different industries: insurance, manufacturing, telecommunications, and construction.

The platform is planned to support five markets and their respective languages: Kazakhstan, Uzbekistan, Ukraine, Pakistan, and Bangladesh.

Scaling is being pursued across three dimensions:

Technological: Reuse of the platform, infrastructure, connectors, and AI components.

Functional: Adaptation of existing AI agents and business use cases to different industries and business units.

Geographical: Localization of AI models, languages, integrations, and security requirements for new markets.