plugnpl.ai Compared
Companies looking to adopt AI today essentially have three options: combine individual AI tools, license a ready-made AI suite, or build a custom solution. Each approach has its strengths — and clear limits. We built plugnpl.ai as the fourth way.
Four paths. One clear picture.
Our reading, as of November 2026.
Azure-native by design — runs in your own cloud tenant.
Your data, your infrastructure, your control.
Which path fits when?
You want to get quick, first-hand AI experience without a bigger commitment.
No company-wide rollout possible. Every tool has its own data boundary, license, and learning curve.
You want an all-in-one product and accept the vendor's terms.
Per-user license costs grow linearly with your team. Switching models or vendors is nearly impossible.
Maximum control is non-negotiable, and you have the time and budget for it.
12–24 months of development and a team of your own — before the first person can work productively.
You want both: fast results and full control over your data, code, and models.
What this means in practice
Most approaches force a trade-off: fast or secure. plugnpl.ai combines control in your tenant with work across your systems, from chat to Work Support.
Full code access, your own tenant, free choice of models. No AI vendor gets your company data — not today, and not after your next model switch.
One platform fee for your company instead of a price per seat, plus metered model use with a cap per person. We set the full cost per outcome next to what you use today.
In the end, three ways remain: rent it, build it, or run it in your tenant with us.
Single tools are fine to start with. For a rollout to everyone, these questions decide.
| Assistant of your office suite | plugnpl.ai in your tenant | Build it yourself on Azure | |
|---|---|---|---|
| Where it runs | the vendor's cloud | your Azure tenant | your Azure tenant |
| Rights | your Entra, the vendor's platform rules | all of each person's rights via Entra | what you build |
| Model per task | the vendor's selection | your choice per agent, EU-only rules | your choice, you integrate |
| Code | none | you get it | you write it |
| How far it works | deep inside the suite, connectors beyond | Microsoft 365 and your systems via MCP; Work Support in build | as far as you build |
| Who runs it | the vendor | we run it with you | your team |
| Cost model | per seat, plus consumption | platform fee, plus metered use with caps | your team, plus consumption |
Convinced by the comparison?
Let's find out together how plugnpl.ai fits into your infrastructure.