From raw data to scalable intelligence: Data & AI
Companies collect vast amounts of data, but rarely have a clear picture of it. Ambitions around AI and efficiency stall because systems are disconnected and the underlying customer information is simply inaccurate or severely out of date.
Intelligence only adds value when it actively speeds up your processes. We do not focus on what the latest models can do in theory, we look at where your team is losing the most margin or time today. We start by creating a single, current source of truth across all your data sources. On that foundation, we build AI applications that deliver a return and data security that holds, so you can innovate safely, at scale, and with measurable results.
The foundations that make data and AI pay off
The right context
A smart algorithm still makes costly mistakes when it is fed the wrong customer data. We ensure data is harmonised and current before we begin any automation.
Eliminating friction at the source
AI should not be a novelty, it should free up hours for your team right away. We automate the tasks that cause delays today: manually re-entering PDF orders into your ERP, or spending hours tracking down the right machine history.
A business case that holds up
We integrate new technology only when it delivers a measurable return on investment. If it does not produce direct cost savings or higher conversion, we do not build it.
Gain control?
What a data-driven organisation delivers
Commercial and operational strength
- A single, complete, and current customer view
- Immediate action on real-time customer signals
- Smarter segmentation for targeted sales
Processes that run without friction
- Convert unstructured data into action immediately
- Eliminate administrative overhead
- Always have the right context available at a glance
Scalable capacity and continuity
- Autonomous handling of routine tasks
- Scale up with 24/7 digital workers
- Automated backups of all data
Our specialisations in data and AI
We do not implement isolated tools, we build a stable data foundation. Depending on your specific challenges, we select the technology that directly eliminates manual work and makes your organisation ready to scale.
Salesforce Data Cloud
We build the data foundation that scalable intelligence requires. With Data Cloud, we harmonise all your sources into a single current truth, giving AI the right context to act on.
AI & process automation
We remove the bottleneck in your operations. By adding intelligence where standard workflows reach their limits, we expand your operational capacity directly — without requiring your team to grow alongside it.
Salesforce Agentforce
Deploy autonomous digital workers that carry out tasks within your CRM, securely and within the fixed boundaries of your business operations.
Salesforce backup & recovery
Protect your foundation. Safeguard continuity by securing not just your data, but your complete Salesforce configuration and relationships.
+28% hogere forecast-betrouwbaarheid binnen 4 maanden
De verbeterde forecast-betrouwbaarheid bij Vredo kwam niet voort uit één losse optimalisatie, maar uit een samenhangende Data & AI-aanpak binnen Salesforce. Diezelfde structuur is toepasbaar in iedere organisatie waar data strategisch wordt ingezet.
Trusted by organisations including
Automate where possible, apply intelligence where it matters
We believe in a pragmatic use of technology: automate where you can and add intelligence where it is genuinely needed. Not every process requires a large language model, for many routine tasks, smart process logic is more effective. This deliberate choice keeps operational costs low, including token usage, and keeps the process efficient. Whether we deploy Salesforce Agentforce, OpenAI, or Google models: the choice always follows the business case
Security and human oversight
Adopting new technology does not mean giving up control. In B2B environments, zero tolerance for errors is the absolute standard. Sensitive data is always protected through isolated networks (such as the Salesforce Trust Layer). External models never store your data and do not use it to train public models (‘Zero Retention’).
Where needed, we work with a human-in-the-loop: the system does the preparatory work and queues the proposed action, and your expert reviews and approves the final step.
Strategic insights on data & AI
Verdiep je in Salesforce
Ontvang het executive stappenplan voor een samenhangende strategie binnen Salesforce.
Jaäl Pekelder
Sales Consultant
Scaling up pragmatically in four steps
We start by mapping the dependencies in your current landscape to avoid surprises later.
Analyse the business case
We weigh the time saved and capacity gained against the expected implementation costs and usage. We only proceed once the financial case is clear.
Build a prototype on your data
We build a working prototype on your own dataset. This shows you in practice whether the model can handle your specific orders or requests without errors.
A clear cost model per transaction
Before rolling out organisation-wide, we make costs fully transparent. We calculate the exact token usage per transaction so your operational costs remain predictable
Scale up with confidence
Only once the prototype proves it works and the business case holds do we integrate it into your existing architecture. You remain in the director’s seat throughout.
Frequently Asked Questions
Why do I need Data Cloud if I already have a data warehouse?
A data warehouse is designed for storage, but Data Cloud is built for direct activation. It connects current signals, such as clickstream behaviour or IoT data, in real time to your CRM, providing the context AI applications need to act.
When does AI actually become cost-effective for my business?
The investment pays off as soon as your staff are spending unnecessary hours on manual tasks involving unstructured data: re-entering PDF orders, routing service emails, or looking up complex product information.
What is the difference between Agentforce and a traditional chatbot?
A traditional chatbot follows a fixed script and gets stuck when something falls outside its parameters. Agentforce understands context through your CRM, reasons independently about the best solution, and actually carries out the corresponding action in your system.
How do you ensure our business data does not end up in public models?
We build solutions within closed ecosystems. Your business data is used to generate a specific response, but thanks to strict Zero Retention agreements, it is never stored by the AI provider.
How does AI billing work and what are token costs?
AI models charge per unit of processed text, known as a token. During our prototype phase, we calculate this usage per action in advance with precision, so your operational costs remain predictable at all times.
Does Salesforce not automatically back up my data?
Salesforce secures their infrastructure and handles server failures. Under the Shared Responsibility model, however, you remain responsible for your own data. If you accidentally delete records in bulk, you cannot restore them at the click of a button without a backup solution.
