ai/utrecht
AI specialist in Utrecht
We build and implement AI for SME organisations in Utrecht and surrounding area, without marketing fluff.
Local point of contact, short lines, concrete outcome. For depth on our method: see the full AI hub.
travel time: ca. 35 min from veenendaalservice area: ca. 45 min radius
Why Vectel in Utrecht
Utrecht is our largest market within the service area: scale-ups around Utrecht Science Park, healthcare and biotech near the UMC, and a dense mix of professional services toward the city centre. SMBs here tend to be younger and faster at picking tooling, and more often have an in-house IT team that shifts our role toward development and advisory rather than helpdesk.
Utrecht Science Park is the natural anchor for scale-ups and biotech; we meet clients there regularly. The city centre is the usual environment for legal and accounting work. From Veenendaal we drive just over half an hour, longer in rush hour.
Our AI practice
Five ways we deploy AI, all with a measurable outcome.
Microsoft Copilot implementation and adoption
Roll out Copilot, set up governance, and make sure teams actually use it.
Book a Copilot conversationAI automation
Speed up repetitive processes, unstructured data handling, or decision-making with LLMs and agents.
View the automation practiceAI integration in existing systems
LLM capabilities inside your CRM, ERP, or customer portal, with attention to latency, cost, and governance.
Discuss the integrationAI audit and readiness
An objective view of where AI delivers value in your organisation and what needs to be sorted first.
Start the scanAI training for teams
Practical sessions where teams learn to use AI responsibly in daily work.
Plan a trainingCases from our practice
Anonymous examples, because we do not discuss clients without permission.
Document extraction
Invoices, receipts, contracts and email attachments parsed automatically.
Purchase invoices and receipts retyped into the accounting package eat hours a month and leave typo errors that have to be tracked down later. An AI extractor reads the structured fields, checks them against the order line, and posts them through when the match holds.
Read moreMail triage for the shared inbox
info@ and support@ sorted, summarised, routed. A human decides what goes out.
The shared inbox is the quiet pain of many offices. Three people read the same mail, nobody picks it up because they think someone else will, and the customer waits a day for something that could have been done in five minutes.
Read moreKnowledge portal over your own documents
One search box over SharePoint, handbooks and wiki. Answer with a source link or an honest "no idea".
New joiners ask the same questions for three months that are already answered in a document nobody can find. An internal search that knows which page it does not know is worth more than a chatbot that guesses.
Read moreQuote flow for sales
From a customer request to a draft quote in minutes, not days. A human hits send.
A salesperson gets three requests in on Monday. By Thursday they are still sitting there, because copying from earlier quotes, looking up price lists, and polishing the branding is the work that gets pushed aside between customer calls.
Read moreMeeting summaries that actually exist
The kind of meeting whose minutes never get written, now gets a finish line.
In most SMB meetings nobody writes minutes. Not from ill will, but because the person who would type them is part of the conversation. A short summary afterwards is worth more than a forty-minute transcript nobody reads.
Read moreLead classification with reasoning
A readable priority list per lead, with arguments, not a black-box score.
A lead form on the site, a whitepaper download, a conference badge scan. At the end of the week eighty names sit in the CRM. Which five should sales call today, and why?
Read more
Outcomes are indicative and project-specific.
Full AI practice
See the full AI hub for our approach, pitfalls, tooling choices and FAQ.
Ready to start?
Three ways, pick what fits.