AI services for MSPs and IT providers
We build AI for MSPs, system integrators and IT service providers in two ways: automation for your own service desk and operations, and AI projects delivered white-label for your clients. You keep the client relationship, and we bring the engineering behind it.
Where the work gets stuck.
Tickets that all start the same way
Password resets, licence requests, new starters and printer issues arrive by email and phone, and each needs triage, lookups in Microsoft 365 and a note in the PSA. Engineers start the day sorting.
Clients asking about AI
Clients ask their IT partner about Copilot, chatbots and automation, and expect an answer. Without AI engineering in-house, the question goes to another supplier, and the relationship can follow.
Documentation that lags behind
Client environments change every week, and runbooks in IT Glue or SharePoint fall behind. Engineers solve the same problem twice because the fix was never written down.
How we improve IT services.
Each one is scoped around your systems and rules, and each one keeps a person in charge of the decisions that matter.
Ticket triage and enrichment
Incoming tickets in ConnectWise, Autotask or HaloPSA are classified, linked to the right client, device and contract, and enriched with recent incidents. Engineers pick up tickets that already explain what is going on.
Routine request automation
New starters, leavers, licence changes and group memberships in Microsoft 365, Entra ID and Intune are prepared from a request and executed after approval by an engineer or the client's contact. Every step is logged against the ticket.
Engineer knowledge assistant
Engineers ask about a client's environment and get answers from runbooks, past tickets and documentation, per client and within their access rights. Fixes from closed tickets are proposed as new knowledge articles for review.
White-label assistants for your clients
Knowledge assistants over a client's SharePoint, file shares and line-of-business systems, delivered under your brand with your team as the contact. You set the commercial terms, and we build, test and support behind you.
AI readiness assessments for clients
A structured review of a client's data, Microsoft 365 permissions, processes and risks before they roll out Copilot or custom AI. You deliver the report and a prioritised plan to the client.
Reporting from PSA and RMM data
Contract, ticket and device data from your PSA and RMM combined into client reports and profitability per contract. Account managers go into quarterly reviews with the facts.
Built around the rules.
What we design for from the first week. Your legal and compliance people keep the final word.
NIS2 and the Cyberbeveiligingswet
Managed service providers and managed security service providers are in scope of NIS2, which the Netherlands implements through the Cyberbeveiligingswet from 15 August 2026. Automations we build use least-privilege credentials, log every action and fit your incident and supply chain processes.
Access to client tenants
An automation acting in a client's Microsoft 365 tenant holds powerful permissions. We use scoped app registrations, approval steps for privileged changes and separate credentials and logs per client.
GDPR and processor chains
You are usually a processor for your clients, which makes us your sub-processor. We sign a processing agreement, keep data in EU regions and supply the information your own client agreements require.
Client security questionnaires
Your clients will ask how AI features handle their data. We provide architecture and data flow documentation you can reuse in questionnaires based on ISO 27001 or SOC 2.
Works with what you run.
If a system has an API, a database, an export or an inbox, we can build on it. These are the ones we meet most.
- ConnectWise PSA
- Autotask PSA (Datto)
- HaloPSA
- TOPdesk
- ServiceNow
- Microsoft 365
- Microsoft Entra ID
- Azure
- Intune
- IT Glue
Where to start.
Ticket triage on your PSA
We connect to ConnectWise, Autotask or HaloPSA and start by classifying and enriching new tickets for one service team, writing suggestions as internal notes. Engineers rate the suggestions, and routing is automated once the results support it.
Talk it throughWhat it includes
- PSA connector with read and internal note access
- Classification with client and asset matching
- Enrichment from Microsoft 365 and past tickets
- Accuracy reporting per category
Related work.
Guides.
AI vendor security questionnaire: what to ask before you buy or build
The questions to ask an AI vendor, or your own team, about data, model providers, access, logging, quality, incidents, GDPR and exit, and how to score the answers.
8 min read
AI readiness checklist: what to answer before your first agent goes live
The questions to answer before your first AI agent handles real work, from process and data to approvals, monitoring and ownership.
10 min read
Further reading.
Human-in-the-loop AI agents: design patterns for production
The patterns we use to run AI agents safely in production: approval checkpoints, confidence thresholds, tool permissions, audit trails and fallbacks.
4 min read
How to build a production RAG chatbot: a practical guide
What it takes to turn a promising RAG experiment into a chatbot people trust: ingestion, hybrid search, citations, permissions and evals.
5 min read
LLM evals: how to test AI features before every release
A practical approach to LLM evals: build a test set from real cases, combine code checks with model grading, and block releases that regress.
5 min read
Common questions.
Yes. We deliver under your brand, join client calls as part of your team when needed and stay in the background when you prefer. Contracts, pricing and the client relationship stay with you, and our partners page explains the model.
It can. As an MSP in scope of NIS2 you need risk management and supply chain security that covers your tooling, including automations with access to client environments. We design those with scoped permissions, logging and documentation that fit your NIS2 measures.
Yes, through their REST APIs, and with TOPdesk and ServiceNow for integrators and in-house IT departments. Actions in client environments go through Microsoft Graph with app registrations scoped per client.
It takes sorting, lookups and repeat requests off their plate. Most MSPs put that time into project work and proactive service for their clients.
Copilot works well when data and permissions in Microsoft 365 are in order, which is often the first problem to solve. We help with readiness assessments and permission clean-up, and build custom assistants where clients need data from outside Microsoft 365.