MSP performance output kwaliteit
Does AI make your team faster or actually better?
AI makes an MSP team measurably faster at output: emails, documents, slide decks and reading in. Whether the quality rises with it depends on the person behind the tool. Hard knowledge counts for less, and soft skills increasingly decide what real performance looks like.
MSP Late Night · 8 October 2026
Why does output alone not decide the whole performance?
Performance inside an MSP has four layers: the speed of output, the quality of that output, the contribution to the team, and the soft skills used in client and partner conversations. AI only speeds up the first layer. The other three stay human work and grow in weight as hard knowledge becomes a commodity. You see that difference straight away between partners.
AI is a tool. It makes things faster, but it does not solve your problems.
Frequently asked questions
How do you measure performance in an MSP team fairly?
Output is the most visible criterion: how quickly someone drafts a document, answers an email or reads into a subject. Alongside that sits the contribution to the team: do you help colleagues, do you sit well in the group, do you share what you know. Steering purely on speed gives a distorted picture, because quality and collaboration have more impact on client retention and margin over a longer run.
Does AI really make MSP staff more productive?
AI gives immediate time savings on repetitive tasks such as emails, documents, slide decks and reading in. The rise in productivity is visible, but the rise in quality is down to the individual. Those who keep thinking for themselves and judge the output critically get better. Those who use AI as a replacement for their own thinking deliver faster work, not necessarily better work.
Why are soft skills becoming more important in the MSP sector?
Hard technical knowledge is easier and easier to reach through AI and documentation, so the gap between staff flattens out there. Soft skills such as communication, collaboration and a feel for the client are harder to copy. In partner relationships and team dynamics, those skills separate an MSP that grows from one that stalls.
How do you stop AI use from lowering quality?
Treat AI as a tool, not as a decision maker. Let people work out the core themselves first and use AI to speed up the execution. Review agreements on output help: whoever sends or publishes it owns the content. Without that ownership, generic or plainly wrong output creeps into client communication and internal documents.
The full conversation, transcribed
Ik kijk altijd naar output. Dat is eigenlijk het enige wat voor mij telt. Natuurlijk is goede performance. Ben je een leuke vent? Zit je lekker in een groep? Help je de rest van het team? Dat heeft ook te maken met performance. Het snel inlezen van iets. Het snel beantwoorden van een e-mail. Het opstellen van een document. Het maken van een powerpoint. En daar zie je direct die tijdswinst. En dan word je inderdaad productiever. Maar de vraag is wel, word je ook kwalitatief beter? Dat is inderdaad individueel wel de waarheid. En dat is niet altijd zo. Het is een stuk gereedschap waarmee je dingen sneller, makkelijker, beter kan maken. Maar het lost niet al je problemen op. Daar moet je toch zelf over nagedenken. Dat harde kennis is veel minder relevant. Het wordt steeds minder relevant. En juist die soft skills zijn heel erg belangrijk. En dat zien we ook tussen partners onderling.