meet Feller
Feller is a partner in finance, business control and interim management. From The Hague, Feller helps organisations improve their finance function and control, with attention to processes, data and collaboration. To keep growing itself, Feller continuously recruits new financial professionals for its own consultancy, from young professionals to experienced interim specialists.
BE Digital has supported Feller for some time with marketing, sales, branding and recruitment. Within that collaboration, we look more and more at the role AI can play. Where can processes be smarter? Where can manual work be reduced? And where does it add value to develop something ourselves? Feller's new recruitment system is a good example of that.
8
days from approval to go-live
230+
CVs read automatically
4
AI features: reading, matching, CV style and inbox
1
environment for the whole recruitment team
the challenge
Feller worked with an external ATS for vacancies and applications for a long time. When the decision was made to stop using it, the question was what should replace it. Another standard package was an option, but Feller would then once again depend on the possibilities and limitations of existing software.
That was exactly the challenge. Some features of the previous system worked well and had to stay. At the same time, Feller was missing features that mattered in daily practice. On top of that, recruitment doesn't work the same way for every vacancy: different colleagues manage different vacancies, and every candidate can follow their own route. You want to avoid everyone working with their own lists and overviews.
That brought us to the question: how do we build a recruitment system that fits the way Feller works, without forcing the organisation back into the structure of a standard package?
our solution
Instead of looking for the next ATS, we developed Feller's own recruitment system together with them. We started with the recruitment process itself; the technology came after. Which parts of the old system were used every day? What worked well? Which information always had to be visible straight away, and what was missing? Based on that, we built one environment where vacancies, candidates, communication and progress come together.
Because we develop with AI agents, the first version was live within 8 days of approval. From that moment, new applications came straight into the new environment.
what the system does
one overview for the whole team
Who applied, for which vacancy and through which channel, with the current status. New applications land in the inbox automatically, and the team guides a candidate through the process from the same environment.
insight into the recruitment funnel
For each vacancy you can see how many applications come in and where candidates are in the process. Separate spreadsheets and personal overviews are no longer needed.
less manual work
Automatic emails for new applications, rejections with fixed rejection reasons, user management and GDPR retention periods that run by themselves, with a deletion log.
built to grow
An extra filter, a different overview or a change to the workflow: because we develop and manage the platform ourselves, we implement new wishes quickly.
AI that does the reading
With the AI CV check, the team no longer has to retype or compare a CV line by line. The AI reads and compares, the recruiter decides.
reading CVs
Work experience with start and end month, education and skills are added to the candidate file in a structured way. The system calculates total work experience itself, so the same CV always gives the same result.
matching to a client request
The request is split into separate requirements. For each candidate a checklist shows met, not met or not demonstrable, with a short explanation.
CVs in Feller's own style
The system converts a CV to Feller's Word template, in English too, ready to send to a client.
candidate inbox
The team forwards a proposal email from a recruitment partner. The system recognises the details and the CV and creates the candidate, without duplicate files.
the result
Feller now has its own recruitment system that brings together the most important part of the recruitment process: one central candidate overview with the source and status of every applicant, an inbox for new applications, a link to the active vacancies on the website, insight into the funnel per vacancy, an AI CV check and automatic communication with candidates.
As a result, the team has more overview and depends less on separate systems and manual overviews. Feller also doesn't have to invest again in a commercial ATS of which only part of the features are used. After go-live, extensions were added step by step, such as the candidate inbox, automatic retention periods, sharper matching and English-language CVs.
de BE Digital Touch
We could also have helped Feller select a new ATS. But why fit Feller into an existing package again, when we could build a system around Feller? By combining knowledge of recruitment, development and AI, we developed an environment that fits Feller's process exactly. With the features the team actually uses, without unnecessary parts, and with room to develop new wishes straight away.
For us, that is the value of developing with AI: solving a concrete problem with a system that works the way the organisation works.
a system around Feller, not the other way round
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