Agilytic is a Belgian data and AI consultancy, part of Artefact. We help organisations set priorities, build solutions and support the people who use them. Explore our three areas of work: Strategize AI, Deploy AI and Adopt AI.
With a track record of delivering measurable results for organizations of all sizes, we specialize in turning complex information into actionable insights. Our multidisciplinary team of data scientists, data engineers, and project managers works closely with clients to optimize operations, uncover hidden opportunities, and stay ahead in rapidly evolving markets.
Quick wins
Improve the productivity and ROI of the processes in your value chain
Differentiators
Build a lasting competitive advantage
Transformational
Disrupt business models and markets.
Leaders must navigate between two extremes about AI:
On one hand, a diffuse sense of urgency, fuelled by the “fear of missing out” on a potentially disruptive wave of innovation;
On the other, caution of not falling for some sort of over-hyped commercial gadget.
As with many things, value creation will come from a pragmatic middle ground.
Our approach to AI is the same as with every project: start from your core strategic objectives.
Marketing, sales and market intelligence
Customer experience and loyalty
Operational efficiency
Finance, risk mitigation
Human resources: talent acquisition, development and retention
Environmental, social and governance
Our experience in over 400 advanced analytics projects serves as a solid foundation to assist you in maximizing the chances of success for your AI projects.From roadmap to implementation, Agilytic ensures you select the right technology for the job.
Services
From strategic planning to large scale deployment, we have the scale and scope to help you make the most of data.
2 to 4 weeks
Build a multi-year plan to maximize the impact of AI
4 to 8 weeks
Projects with a well-defined value creation objective.
12+ weeks
We lead with you the implementation of large-scale AI projects, with our complementary data science and engineering skills.
From leadership AI coaching to four AI and data projects at a logistics company
Building an AI chatbot for personalized sustainability guidance
Cutting manual email handling through inbox automation
Creating a market watch agent to spot commercial opportunities early
A multilingual RAG chatbot on Azure to help with fundraising
How an AI-powered CV search engine matches experts with public tenders
Automated customer follow-up in an SME
Unlocking sales insights through audience modeling in gaming
Automated competitive intelligence in professional services
Accelerating AI adoption from the C-suite down with Microsoft Copilot
Automating invoice processing for better efficiency and compliance
Automating complaint management in a waste collection entity
Improving the efficiency of market intelligence with LLMs
Building a document processing pipeline to support evidence-based policymaking
How automation improved project management efficiency in public services
Modern reporting for a complex field services project
Efficient next-level document processing in banking
Moving beyond Excel and towards automation in real estate
Every engagement starts from a business problem, not a technology. A typical path with us has three steps.
AI roadmap. We map where AI can remove cost or create revenue in your operations, score each opportunity on value and feasibility, and leave you with a prioritized plan. Two to four weeks. How we build an AI roadmap.
Proof of value. We build the smallest version of the highest-scoring use case that can prove or kill the business case with real data. Four to eight weeks.
Deployment. What proves its value goes into production, with your team trained to run it. We stay until the result shows up in your numbers, not just in a demo. During this phase our forward deployed engineers work inside your team, on your systems, until the solution runs and your people own it.
Some clients arrive with a use case already chosen and skip straight to step two. That works too.
Agilytic is part of Artefact, an Anthropic Claude partner, an OpenAI Advanced Partner and Google Cloud’s AI Partner of the Year for EMEA. We also roll out Microsoft 365 Copilot. That lets us recommend the assistant that fits your systems and data, then put it to work. Copilot, ChatGPT, Claude or Gemini: how to choose.
A roadmap engagement is a fixed-price project, typically a few weeks of work. Proof of value and deployment depend on scope; you get a fixed quote before each phase, and you can stop after any of them.
No. Since 2015 we have delivered 400+ projects for organizations from 30-person SMEs to international groups. The method scales down well: smaller organizations usually get to production faster.
We are very familiar with financial services and insurance, healthcare, retail, real estate, utilities, and professional services, but we have completed more than 400 projects across all sectors.
Often, yes. Most stalled projects fail on data foundations or on a missing business case, not on the model. We audit what exists before proposing anything new.
Two to four weeks. Most of the time goes into interviews with your teams and a look at the data behind each idea; the executive committee sees a first ranking after the second week.
A ranked list of AI opportunities scored on value, feasibility, data readiness and risk, a one-page business case for the three to five selected use cases, a tool recommendation per use case, and a 12-month sequence with the first proof of value ready to start.
Start from what you already pay for and where your documents live. A Microsoft 365 company usually gets the fastest return from Copilot; teams that write, analyse or code all day often add ChatGPT Enterprise or Claude. The roadmap makes that call per use case. If your teams work in Google Workspace, start with Gemini.
The same team. Our consultants and forward deployed engineers build the proof of value and the production version, then train your people to run it.