Turn your vision into a clear and well-structured plan to deploy AI according to YOUR business’s priorities, capacities, and budget ✅
An AI Roadmap transforms your ideas into tangible business outcomes with a step-by-step action plan. Whether you’d like to plan for AI policies, for tool implementation, or for full-scale automation within your business, our Roadmap services are here to help you define the “how-to”, based on industry best practices. It truly is a powerful tool to align your teams and map out your AI investments for the next 6 to 12 months.
We start with a discovery phase that includes quantitative surveys, roundtables, and one-on-one interviews with your key stakeholders. Auditing your AI needs helps us ensure that we identify the most relevant opportunities for your business value according to your specific context.
Then, our team analyzes the data to score opportunities, prioritizing specific machine learning use cases where every milestone is tied to real potential Return on Investment (ROI) to build a 6-to-12-month plan with a full budget breakdown.
We finish by presenting the detailed AI Roadmap for your business strategy and by validating the proposed outline and timeline with you, ensuring you launch your AI transformation on solid foundations.
A business AI Roadmap is an actionable AI adoption plan spanning 6 to 12 months, built on a rigorous data audit and ROI-based prioritization of use cases for AI at scale. It relies on an audit of your operations, key processes, and data environment, followed by information gathering from teams (interviews, surveys), opportunity scoring, and ROI modeling for each identified AI use case.
Having and using an AI Roadmap for your business objectifies decision-making through financial modeling of gains (ROI) and a technical feasibility audit, preventing you from “flying blind.” It is particularly useful if you need to secure an AI investment budget with a quantified and de-risked execution plan. It is also essential for organizations ready to invest in AI that need to structure their digital transformation to guide (and justify) budget allocation. In short, an AI roadmap tells you what to do first, what it’s worth, if it’s feasible, and how to execute.
Yes, in order for the planning audit to be relevant to your AI Roadmap, we need to access some of your data that has an impact on your workflows (like structure and process flows). Doing so helps us assess your data readiness and the feasibility of your project. That being said, our team of Montreal-based AI specialists adheres strictly to a Non-Disclosure Agreement (NDA).
TL;DR 👉 We do not need access to any of our clients’ sensitive or personal data—only to data related to structure and process flows.
After delivering the AI Roadmap to your team, our experts leave you with a turnkey action plan for the next 6 to 12 months. You are free to execute it internally, with another partner, or to continue with Genia for the Pilot Project phase to develop the first identified solutions.
Yes, our experts include the budget to deploy an AI solution in the Roadmap they create for their clients. The main goal of this service is to help you secure your investment. To do so, we deliver a quantified estimate of compute / development costs (CAPEX) and recurring costs (OPEX), put into perspective with the expected ROI to guide your decisions.
Your AI Roadmap is created by a dedicated team of specialists combining strategic vision with academic rigor:
We also collaborate with your leadership, operational, and technical teams to gather insights and validate the strategy.
Our AI experts can build all kinds of roadmaps for businesses who’d like to integrate artificial intelligence into their daily operations. Since every organization is unique, the possibilities are nearly endless!
Here’s a list of concrete real-world examples of projects we have mapped out:
Amongst the many use cases for AI Roadmaps in a business, there’s the scoping of an AI Agent (or Chatbot/Assistant), the planning of a scaled deployment of a future AI operating model (leveraging our Microsoft Copilot and ChatGPT experts), or even the establishment of AI Governance (Security, Access, Compliance) before an AI Pilot Project.
Here’s a few other examples of real use cases for an AI Roadmap in a business:
Contact our AI experts to discuss your needs in a free first consultation.
To define the KPIs that we’ll use to measure the success of your AI Roadmap, our artificial intelligence experts start with your business objectives and key processes. We then translate each prioritized use case into measurable pre/post indicators (value, quality, adoption, and risk), with a baseline, a target, and a clear measurement cadence.
Far from being limited to these options, here are some examples of KPIs we might measure:
Performance tracking allows us to identify workflows to be boosted by AI-driven innovation while maintaining proper management of risks linked to this type of innovation, with a well-structured schedule and budget.
No, we are not; we are neutral on that matter. Since we are experts in a big variety of major AI environments (e.g., Microsoft Copilot, Azure, OpenAI ChatGPT, Google Gemini), our team truly recommends the AI tools that are most efficient and cost-effective for your specific technical reality and budget.
An AI Roadmap helps businesses plan for long-term observability by ensuring your AI systems remain reliable, accurate, and cost-effective long after the initial launch. It involves defining the specific tools and protocols needed to monitor performance drift, track API consumption costs, and detect potential errors in real-time.
For your business clients, an AI Roadmap that includes observability means planning for:
By including observability in your AI Roadmap, we help you accelerate your digital transformation with a clear budget allocation. You, then, prevent your business from “flying blind,” ensuring your AI remains a transparent, high-performing asset rather than a “black box” that creates technical or financial surprises.
