Move quickly from strategy to execution and generate immediate impact within your business by letting us create your first custom-made AI solution ✅
An AI Pilot Project allows you to take action by bringing your AI transformation to life. By deploying a first solution within a defined scope, you can measure results, demonstrate the value of AI for your business, and build upon a first tangible success to encourage adoption on a larger scale across your company.
We start with a precise gathering of your needs, followed by an ROI evaluation of the project including a detailed AI Roadmap that plans timelines, costs, and expected benefits, as well as resource planning.
Our experts then proceed by configuring and testing the solution in short cycles, thereby ensuring continuous validation with you in order to guarantee the result perfectly matches your expectations.
We deploy the AI initiative in your environment, train your teams on how to adopt AI technology with demonstrations, and provide a user guide for simple and effective handling. We ensure monthly follow-up after the deployment of your AI Pilot Project to guarantee its proper functioning, and also offer several other options to track its performance (upon request).
An AI Pilot Project is the end-to-end design and deployment of a custom AI solution (Agent, RAG, Chatbot) directly in your secure environment (Azure, AWS, or local). Realized via an agile method in iterative cycles for absolute technical mastery, it includes infrastructure configuration and the establishment of usage policies.
In practice, this covers development, robustness testing, turnkey delivery, and team training to ensure sustainable adoption and maintenance.
Creating an AI pilot project for a business serves to transform a strategic opportunity into an immediate competitive advantage, while guaranteeing total sovereignty over your data-driven insights and intellectual property.
It is particularly useful for validating the potential of AI through proof (ROI) for your business operations via short cycles, or when your security and integration needs exceed the capabilities of standard solutions. This approach is therefore aimed at teams and organizations ready to take action to obtain a first tangible success, enjoying the benefits of AI tools with a custom solution that generic tools cannot offer.
Here are three good reasons why companies like yours love working with Genia:
The typical duration of a pilot project with our Montreal-based AI specialists varies according to complexity, but we prioritize rapid development cycles to generate impact in a few weeks or months. Our goal is to ensure a successful AI Pilot program is delivered within months, not years.
When you create an AI Pilot Project with our agency, you benefit from complete handling ranging from technical design to secure integration. We work according to an agile method in iterative cycles: custom development, rigorous testing, and continuous validation with your teams to guarantee a robust solution, delivered turnkey.
Your AI Pilot Project is created by a dedicated team of specialists, combining strategic vision and academic rigor:
We also collaborate with your leadership, operational, and technical teams to gather insights and validate the strategy.
Among the many real examples of AI Pilot Projects we have created for Quebec companies, there is, among others, the development of an AI Agent (or Chatbot/Assistant), the planning of a scaled deployment (thanks to our Microsoft Copilot experts and ChatGPT experts), or the automation of complex business processes to generate immediate productivity gains.
Here are some concrete examples based on our recent case studies:
Contact our AI experts to discuss your needs in a free first consultation for your 100% custom AI Pilot Project.
To define the KPIs that will measure the success of your AI Pilot Project, our artificial intelligence experts set up the necessary measurement tools to track the real performance of the solution as soon as it is deployed.
Far from being limited to these, here are some examples of metrics we could measure for a successful pilot project related to AI:
Performance tracking thus allows for continuous optimization of the solution and validation of the return on investment for your company. It also helps us to optimize and enhance customer experience for users within your organization.
No, we are agnostic. Although we are experts in major environments (Microsoft Copilot, Azure, OpenAI, Google Gemini), for our AI pilot projects, our team recommends the most efficient and cost-effective tools for your technical reality and budget. We therefore work with various generative AI platforms (Azure, OpenAI, Google) to find the best fit.
To determine the cost of your AI Pilot Project, we evaluate the technical scope of the custom solution to be developed.
The budget is established according to the project and can vary based on several key factors, including:
It is this analysis that allows us to guarantee a solution perfectly adapted to your needs and budget.
To ensure effective AI assistant chatbots, we focus on three pillars: customization, technical robustness, and security. Unlike generic tools, our chatbots use large language models (LLMs) combined with your internal data. They are built using RAG (Retrieval-Augmented Generation), which grounds the AI in your specific company data to ensure 100% accuracy and relevance. We follow an iterative “short-cycle” approach—testing and validating with your team at every stage—to guarantee the final solution perfectly handles your unique business logic, integrates with your existing tools, and respects your data sovereignty.
Using an AI Pilot increases productivity by automating repetitive tasks that currently create bottlenecks for your team because of high volumes. By deploying a targeted solution within a defined scope, you can achieve immediate, measurable gains: for example, reducing manual data entry by 75%, accelerating customer service response times by 60x, or saving several workdays per month on financial reconciliation. This approach allows your talent to stop managing “emergencies” and refocus on high-value strategic initiatives, all while proving the ROI of AI to your stakeholders.
