An AI operating layer your IT, security & finance teams approve
A hyperscaler-native platform for building, customizing, governing and running AI assistants, automations and multi-agent workflows — in a single controlled environment inside your tenant.
How plugnpl.ai works
Agents work directly on the systems you already have. The organisation works with them through an interaction layer, people stay part of the process. just experts helps set up the processes.
- 1A task comes in
- 2Agent works on it
- 3A person confirms
- 4Result in the system
- 5learns
Product speed with custom-build control
Deployed in your own tenant
Runs natively inside your Microsoft Azure environment. Your data never leaves — full sovereignty, your security controls, your compliance.
Agents earn autonomy step by step.
An agent answers first, then drafts, then acts after a person confirms. Acting on its own comes last, and only once the agent keeps its error budget.
- 0
Answer
chat, search and summaries, with sources
todayeach person's rights via Entra
- 1
Draft
mail, document or plan; the person sends it
todaymodels you allow per agent
- 2
Act after your OK
each action is proposed and confirmed by a person
todayrisk level: in builda record of who confirmed
- 3
Scheduled work
runs on its own, reads, drafts and reports in a chat
today"never carries out": in buildunattended means no carrying out
- 4
Act unattended
only once the agent keeps its error budget; own identity, stop switch
not before proofan error budget per agent
Consulting and platform from one source
What you get on each way. plugnpl.ai comes with consulting from just experts; as white label, other consultancies can offer it too.
Classic project
- To first use
- weeks to months
- What stays
- one project
- Systems
- what the project builds
- Critical data
- depends on the project
- Cost
- day rates around €2,000
Office suite assistant
- To first use
- days, in the vendor's cloud
- What stays
- the subscription
- Systems
- mainly its own suite
- Critical data
- under the vendor's rules
- Cost
- per seat
plugnpl.ai with consulting
- To first use
- days, in your tenant
- What stays
- a platform that keeps improving
- Systems
- Microsoft 365, ERP, business systems, own apps
- Critical data
- each person's rights, EU models, confirmation before every change
- Cost
- platform fee plus capped use; consulting as needed
| Aspect | Classic project | Office suite assistant | plugnpl.ai with consulting |
|---|---|---|---|
| To first use | weeks to months | days, in the vendor's cloud | days, in your tenant |
| What stays | one project | the subscription | a platform that keeps improving |
| Systems | what the project builds | mainly its own suite | Microsoft 365, ERP, business systems, own apps |
| Critical data | depends on the project | under the vendor's rules | each person's rights, EU models, confirmation before every change |
| Cost | day rates around €2,000 | per seat | platform fee plus capped use; consulting as needed |
plugnpl.ai and Launchpad in one system
One organisation on top, moving from hierarchy to a self-learning organisation with D-personas. Both read and write in the systems; plugnpl.ai asks the context metagraph. just experts serves both ways.
three apps shown, linked on all four rows
- Software AAD
- Knowledge Learning
- Processes Agent team
- existing systems and data
- infrastructure as code and DB
- knowledge
- apps and front ends
- agents and D-personas
- interaction
- people, FDEs, just experts
- plugnpl.ai asks the metagraph and uses the apps
- reports what is missing in daily work, without personal data
- Launchpad builds it
You replace nothing before you start. What is missing in daily work gets built first.
See the platform your teams will actually use
Book a free consultation and we'll show you — on your own use case — how governed AI works for your people, in your own cloud.