Workspaces at the Data Analytics office

ENABLE · AI under control

Use AI. Stay in control.

You want to move forward with AI. But you also want to feel comfortable: knowing where your data goes, who can access it and who to call when you have questions.

Together we explore how ENABLE can connect your data, access and AI applications. With choices you understand and people who think alongside you.

Discover how it works

30 minutes · a no-obligation introduction to Data Analytics

How it works

Understand first. Then connect.

1. Data

Your existing sources

2. Governance

Access, definitions and agreements

3. AI & apps

Applications within your boundaries

Schematic: from business data through agreed controls to applications. Not a product screenshot.

You don’t have to hold AI back to stay in control.

You don’t need to have all the answers yet. These are the questions we work through together:

  • Who can see which data?
  • What may AI use — and what is off limits?
  • How do we keep track of sources, results and responsibilities?

AI governance for SMEs

Four pillars of control

Confidence

Make decisions from a clear starting point.

Agree which sources and definitions are authoritative. Assess data quality before using it for AI or reporting.

Peace of mind

No need to start over with every new application.

Document ownership and responsibilities. Decide together how to configure the environment and who handles management and maintenance.

Manageability

Room for people, boundaries for access.

Determine which data and applications each role may access. Also assess what information a chosen AI service processes outside your environment.

Reviewability

Trace an answer back to its foundation.

Make sources, definitions and review arrangements clear. Agree who checks results; an AI answer still needs assessment and is not automatically true.

ENABLE

A foundation that fits your organisation

  1. 01

    Start with what you already have

    You don’t need to start from scratch. Together we look at your finance systems, CRM and other sources: what can we connect, and which data needs attention first?

  2. 02

    Make the ground rules clear

    You decide who can see what and which data AI may use. We help translate that into roles and configuration, including agreements about processing by your chosen AI service.

  3. 03

    Take a first step that fits

    Choose an AI application, dashboard or app that genuinely helps you. Where possible, we reuse your existing Power BI models and definitions, checking permissions and compatibility first.

More about the ENABLE platform

What’s on your mind?

For the owner-director

You see opportunities and want to give your people room to explore. Which application will really help? We start small and discuss who needs access, what information you share and who reviews the result.

For the CFO

You want to explain a number, not just see it. Together we look at shared financial definitions, access to sensitive data and the checks needed before an answer becomes a decision.

What control looks like in practice

Prefer to see it rather than just read about it? The public ENABLE demo shows dashboards, users and groups. We discuss which access controls fit your needs. Below is an illustration of the management concept, not evidence of automatic audits or enforced AI policies.

Illustrative ENABLE admin workspace with fictional client environments, users and access settings
Illustrative, anonymised example view based on the platform. All names and counts are fictional; no live client data and no guarantee that every setting shown is available in your package.
See the existing public platform demo

Clarity on costs and configuration from the start

You want to know what you’re committing to. So we discuss the subscription, one-off implementation and any extra data sources or credits together. What fits depends on your sources, users and goals.

We discuss the scope, assumptions and recurring costs openly. You can then consider what fits your organisation. There’s no obligation.

The people behind ENABLE

Trust doesn’t start with software. It starts with people.

Behind ENABLE is the Data Analytics team. People you can talk to about your data, doubts and plans. We start by listening, make the choices clear and show you what is and isn’t technically possible.

Portrait of Marco, Data Analytics team
Marco
Portrait of Pien, Data Analytics team
Pien
Portrait of Jordy, Data Analytics team
Jordy
  • We listen first
  • We show you how it works
  • You know what to expect
Meet our team

A good conversation starts with your situation.

Frequently asked questions

Can I keep my existing systems?

That is the starting point. ENABLE connects and structures information from existing systems. Available connections depend on access, the source and your configuration; we assess these first.

Does this work with Power BI?

Power BI dashboards can be part of the setup. Existing semantic models and definitions can be reused where possible. We check compatibility, licences and access permissions first; not every model is immediately suitable.

Who decides which data AI can use?

Your organisation defines the ground rules and responsibilities. Data Analytics helps translate these into source selection, roles and configuration. The chosen AI service, processing outside your environment and checks on answers also need explicit agreements.

What does ENABLE cost?

Costs depend on the subscription, one-off implementation and any additional data sources or credits. In the conversation, we assess your situation so you can receive a transparent indication with scope, assumptions and recurring costs.

Is this suitable for SMEs?

We also work with SMEs in the Netherlands and Belgium that want more control over business data and AI. The appropriate scale depends on sources, users and management needs. Starting with a focused question helps keep the configuration proportionate.

A clear starting point

Shall we look at your AI plans together?

Tell us what you’re working on and what you’re wondering about. In 30 minutes we discuss your data, access and AI goals, and explore a suitable first step with ENABLE. No obligation and no formal audit.

Privacy statement