Wise IT announces an AI Transformation Grant for Ukrainian organizations

Wise IT announces an AI Transformation Grant for Ukrainian organizations

In modern business, it is difficult to find a topic that generates as much enthusiasm and at the same time anxiety as artificial intelligence. Many companies start their journey intuitively, connecting individual tools to address local needs, but true integration of AI into workflows occurs when innovations receive a reliable foundation across the entire organization.

Grant initiative to support Ukrainian business from Wise IT

With deep practical experience in implementing comprehensive AI solutions, the Wise IT team announces an initiative to support Ukrainian organizations. The company is raffling off three certificates, each worth $3,000, for the development and building of AI solutions. The grant can be used to implement a project in one of nine case categories (all options are described in detail below).

Terms of the grant raffle and registration via the link:
https://wiseit-ai-transformation-initiative.subscribepage.io/

From shadow AI to enterprise system

When AI first appears in a company, it can often be characterized as creative chaos. Employees freely test public chatbots and find quick solutions for routine tasks. However, uncontrolled use of artificial intelligence carries serious risks: employees may unknowingly leak financial reports or personal data into open models. In addition, valuable insights remain isolated, without forming a systematic knowledge base for the team.

Evolution of business maturity

The transition from chaos to a managed system is viewed by Wise IT experts through the Google Cloud AI Adoption Framework methodology. The organization goes through three key phases:

  1. Tactical phase: Focus on quick wins and local experiments by enthusiasts. Data is prepared manually, and manual processes for launching AI models predominate.
  2. Strategic phase: Systematic coordination through dedicated teams. Centralized data repositories and semi-automated metric monitoring pipelines are formed.
  3. Transformational phase: Full integration of AI into the company’s operating model. End-to-end data loops in real-time are configured, an MLOps cycle is in place, along with continuous collaborative learning.

Scaling without “uprooting”

The main problem with many AI initiatives is that in order to grow, companies have to abandon old tools and rebuild their infrastructure from scratch. The Google ecosystem eliminates this barrier by offering seamless evolution based on the Gemini Enterprise Agent Platform, which combines the capabilities of Vertex AI and enterprise management services.

  • Natural scaling: You can start small. Today, your team gathers an internal knowledge base in the standard NotebookLM tool within Google Workspace. Tomorrow, as business needs grow, this same knowledge base seamlessly becomes part of a large Gemini Enterprise module, connecting external data connectors and third-party services via API. Developers get the flexible Vertex AI Agent Builder environment, while business gets a convenient management layer.
  • Synchronous team learning: When everyone works in the same environment, the adaptation barrier disappears. Employees learn collaboratively, transferring effective workflows from department to department much faster, which significantly optimizes investments in personnel.
  • Enhanced security: Your data is not used to train public Google models and remains exclusively within your controlled perimeter. Google Workspace provides a full suite of administration tools: access control, data loss prevention (DLP), and device management. Even in NotebookLM, strict isolation rules apply. For companies with stringent compliance (banks, healthcare), NotebookLM Enterprise is deployed with CMEK encryption, VPC Service Controls network perimeter protection, and full auditing via Cloud Audit Logs.

Nine AI cases for your business

Below are real-world artificial intelligence implementation scenarios successfully executed by the Wise IT team.

Smart Document Recognition (Google Cloud): A pilot project to build an OCR solution powered by Gemini. The system automatically reads scans of thousands of complex documents, extracts key entities (names, dates, amounts), and instantly systematizes them in a database, freeing employees from manual entry.

Product Selection Assistant (Google Cloud): Contextual AI search for e-commerce website navigation. The customer interacts with the catalog in natural language, describing their needs. The AI deeply understands the context, analyzes characteristics, and instantly suggests the most relevant products, increasing loyalty and conversion.

Corporate Knowledge Base (NotebookLM): Creating a secure intellectual system based on your unique internal regulations. The AI acts as a 24/7 assistant: it provides precise answers to requests from new employees, significantly accelerates onboarding processes, and frees experienced mentors from routine consultations.

Legal Compliance (Deep Research): Deploying AI agents for deep risk expertise during deal-making. The system automatically and comprehensively analyzes the complex terms of new contracts, compares them with internal company standards and current changes in the regulatory framework, identifying hidden threats.

Sales Automation (Workspace Studio): Setting up no-code processing of incoming leads directly in the workspace. As soon as a client sends an inquiry, the AI analyzes the email text in Gmail, automatically checks the availability of the required items in Google Sheets, and instantly generates a personalized draft response.

Procurement Analytics (Deep Research): A smart assistant for the supply department that conducts deep market research. The agent doesn’t just monitor the lowest prices but comprehensively evaluates the reliability of counterparties: their logistical capabilities, reputation, presence of service in the required regions, and risks of supply disruption.

Smart Logistics (Google Cloud): A system for proactive detection of logistical anomalies. The Gemini model continuously correlates real-time GPS data streaming from vehicles with historical route archives, warehouse logs, and current weather conditions to adjust routes and estimated arrival times in advance.

Customer Interaction in AI Chat (Google Cloud): An AI chatbot that interacts with the knowledge base in real-time to answer questions and assess customer satisfaction, reducing the workload on operators and speeding up response times from minutes to seconds.

Content Factory (Vertex AI): Scaling visual materials for marketing. Imagen and Veo models allow converting a single basic studio product photo into hundreds of unique, localized creatives and realistic promo videos in seconds, drastically optimizing production budgets.

Invest in a systematic approach and scale reliably

Creative chaos at the beginning is a normal stage of adaptation. However, for long-term business leadership, a solid infrastructure foundation is required. The Google ecosystem, combined with Wise IT’s expertise, allows for safely planning this path. Do not leave innovation to chance—participate in the grant raffle and manage transformation systematically!

Terms of the AI transformation grant raffle and registration via the link:
https://wiseit-ai-transformation-initiative.subscribepage.io/

Want to migrate your team to Google Workspace or build infrastructure in the Google Cloud? Contact us for a free consultation from Wise IT specialists – an official Google Cloud partner in Ukraine:

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