AI implementation partner
Synaura helps boards and management teams embed AI in strategy, people, processes and technology. From first analysis to working application.
The AI-readiness scan is a free one-hour conversation. You get an honest picture of where your organization stands.
Insights
Featured · Implementation
AI-initiatieven stranden zelden op modellen. Ze stranden op data die te breed is gedeeld, niet is geclassificeerd en geen eigenaar heeft. Een praktische werkwijze voor data governance, met Microsoft Purview als technische onderlegger.
Read the analysisRegulation
The AI Act touches almost every organization that uses AI, even if you only use existing tools. An in-depth analysis of the risk classes, the roles…
Strategy
Three phases every organization goes through with AI, why the order is fixed and how Synaura helps in each phase to reach the next.
Skills
One training for everyone rarely covers Article 4. How to organize, document and maintain AI literacy per role.
What we do
A free one-hour conversation about how ready your organization is for AI, with a report within a week: opportunities, risks and a concrete starting point.
An AI strategy with real choices, an opportunity assessment of your operations and a roadmap that puts opportunities, risks, people, processes and technology in the right order.
Redesign of work processes with the people who do the work, vendor-independent set-up of tooling and guidance of the rollout until the new process is in place and the results are measurable.
Organizing, documenting and maintaining AI literacy per role: an inventory, a program with four levels, training with School of Data Science and documentation for Article 4 of the AI Act.
A light and workable governance framework for AI: an AI register, a policy people actually read, clear roles, AI Act compliance per system and a vendor check, fitted to how your organization decides.
Each service can be taken on its own. Together they form a route from first insight to working application.
What we believe
The technology is rarely the problem. AI initiatives stall on unclear choices, missing skills and processes that do not keep pace. That is why we look at the whole system in which AI has to work.
01 · Strategy
It starts with direction. Which opportunities matter, which risks are acceptable and which are not, and what does that mean for priorities and budget? Without those choices, AI stays a collection of loose experiments.
02 · People
AI changes work. That calls for leaders who set the example, employees who understand what is asked of them and room to learn. We treat resistance as a signal that something is still missing.
03 · Capabilities
From basic understanding for all staff to depth for the people who assess and design AI. Since 2 February 2025 the AI Act also requires organizations to ensure that staff working with AI have sufficient AI literacy.
04 · Processes
AI only pays off once it has a place in how the work gets done: in intake, case files, reporting, planning. We redesign processes together with the people who run them.
05 · Technology
Which tools are really relevant, what do they require from data and security, and how do you prevent every department from picking its own solution? We are vendor-independent and advise on what works.
06 · Implementation
A roadmap is only worth something once it is executed. We stay involved during implementation: with clear governance, guidance on the front line and results you can measure.
Current · Microsoft 365 Copilot implementation
Implementing Microsoft 365 Copilot in five phases: Readiness, Strategy, Pilot, Rollout and Scale, with security, governance, adoption and measurement as continuous layers.
A free one-hour conversation
In a one-hour conversation, a Synaura consultant maps opportunities, obstacles and sensible next steps. No obligation, no sales pitch.
What you get
Training
Practical training for staff, management teams and technical teams, developed with School of Data Science.
