Augmentic BV
Haaswijkweg east 12B
3319 GC Dordrecht
The Netherlands
AI Roadmap | Enterprise
Implementing AI in a larger organization means navigating complexity. Think multiple departments, systems and data sources, different interests and decision-making layers, and more stringent governance and compliance requirements. That requires an approach that provides both technical and organizational oversight, with attention to scalability, governance and alignment across teams.
What do we mean by enterprise?
Under enterprise we mean organizations with more than 250 employees and/or a complex structure of departments, systems and processes. These can be large companies, but also healthcare institutions, governments, or software vendors (ISVs) operating at scale. Typically, these organizations often already have a digital infrastructure in place, with strict requirements for security, ownership, and alignment - and this is often where the challenge lies in AI implementation.
Our enterprise approach is tailored to this. We combine strategic overview with concrete action: from creating a common starting point to setting up AI solutions that are secure, scalable and workable within your existing environment. We bring departments together, clarify where opportunities and risks lie, and step by step build a foundation on which AI can run sustainably.
This approach is flexible: applicable to one department, a chain or organization-wide - always keeping in mind your existing structure and governance.
Wondering how we go about it? Discover our route
Introduction and scoping
We start with an open conversation about ambitions, context and what is already happening. In this phase, we identify the most important opportunities, preconditions and stakeholders.
This creates a shared starting point and together we determine the scope of the process - defined, realistic and tailored to the organization.
Exploring use cases by department
Together, we examine which work processes or issues lend themselves well to AI application. We do this per department or domain.
We formulate recognizable use cases: situations in which AI makes work smarter, easier or more reliable. Think of administrative tasks, analytical work or customer interaction.
Creating and aligning AI Roadmap
We translate the insights into a phased plan with clear priorities. This roadmap takes into account interdependencies, change readiness and existing projects.
This creates a realistic path that fits the organization as a whole.
Perform Proof of Concept
We choose one application to demonstrate the value of AI in practice. Users experience how AI supports work and where it makes a difference.
The outcomes help to build support and better inform follow-up steps.
Strengthen basic structure where needed
Based on practical experience, we look at what adjustments are needed in data, systems or processes. Think of better data links, access to information or adjusting work agreements.
This creates a solid foundation for further rollout.
Introducing first AI solutions
We bring initial applications into use within departments or processes. These connect to existing practices, but improve information processing, decision-making or customer interaction.
Everything is well embedded in work practices.
Onboarding and support for teams
Employees receive clear explanations and guidance. We make sure they understand AI, can work with it, and know when it's their turn.
This increases confidence, motivation and correct use.
Rollout, evaluation and renewal
Based on experience, we expand the deployment of AI. Through continuous evaluation, optimization and innovation, the application remains relevant and future-proof.
AI thus becomes a permanent part of the work.
