An AI offering your clients are asking for
Your clients no longer ask only for workplace management, cloud and security. They ask for AI. We help MSPs and IT service providers grow into a managed intelligence provider: your own AI service portfolio, a team that leads the conversation itself and the first client engagements together, until you deliver it independently.
How does Gaide help MSPs and IT providers with an AI offering?
We help you build your own AI practice: together we design your AI service portfolio, we train your engineers and consultants, run the first client engagements together and hand the way of working over in full. The aim is for your team to deliver the offering independently after that, with the client relationship firmly in your own hands.
- Proposition and service model that fits your client portfolio
- Training for engineers, consultants and sales
- Run the first client engagements together, then hand over
- Goal: an AI practice your team runs independently
Picture this: one year from now
Not a distant vision, but services you build step by step. This is the picture we work towards together.
An AI revenue stream alongside your managed contracts
Next to management, cloud and security runs a second recurring stream: adoption, knowledge systems and automation you deliver every month. Not one-off projects, but services with a fixed place in your contracts.
Clients call you first about AI
The question 'what can we do with this?' lands with you, not with a party your client doesn't know yet. You have an answer ready, with examples from their own sector.
A team that leads instead of catching up
Your engineers, consultants and account managers know what AI can do and where the limits are. They use it themselves every day, so they speak from experience instead of from a slide deck.
Strategic partner instead of supplier
You are at the table for the conversation about where the client is heading, not only for the contract renewal. That makes the relationship stronger and your position more solid.
60+
AI strategieën ontwikkeld
Van familiebedrijf tot scale-up
1.700+
medewerkers getraind op AI geletterdheid
Van directie tot werkvloer
250+
AI Agents ontwikkeld
Van documentanalyse tot orderverwerking
3+
jaar AI-partner
Bij onze langstlopende AI trajecten
From MSP to managed intelligence provider
Today
Management, cloud and security
You know your clients' environment, you know how their processes really run and you have a relationship that lasts for years. That is exactly the foundation an AI offering rests on.
Within a few months
The first AI services
Adoption of workplace AI, a knowledge system on the client's own documents, document processing that removes manual work. Well-defined, demonstrable and repeatable.
The next step
Managed intelligence provider
Advising on, implementing and managing AI as a fixed part of your portfolio. Your clients buy it from you and your team delivers it.
From managed services to managed intelligence
Where the conversation with clients was about workplaces, migrations, back-up and security for years, there is now almost always a question about AI as well. What can we do with it, what is allowed with our data, and where do we start? Anyone without an answer to that will sooner or later see that question land with another party, and sometimes the client along with it. That shift now has a name in the channel world: managed intelligence, services in which you advise on, implement and manage AI applications alongside the infrastructure.
The good news: as an MSP or IT service provider you have exactly what most AI providers lack. You know the IT environment, you know how the processes at your clients really run and you have a relationship of trust that you don't build in a sales conversation. What is often missing is hands-on experience with AI implementations and a service model that lets you deliver it repeatably.
That is why joining forces is the fastest route: we have already done the implementations, so your team doesn't have to work it out again. You start with a well-defined service you deliver to your first clients within a few months, and build out from there.
We work as forward deployed engineers, so it doesn't stop at a plan and a presentation. We sit in on the first client engagements, build with your team and only leave once your people run it independently.
What you get from us
Proposition and portfolio design
A concrete AI service offering that fits your client portfolio and your current services: which services, for which clients, and how you position them.
Training for your team
Engineers, consultants and account managers learn what AI can do, where the limits are and how to lead the conversation with the client without over-asking or over-promising.
Co-delivery of the first engagements
We run the first client projects together. You are the point of contact, we bring the implementation experience and shift the work step by step towards your team.
Governance and security framework
Agreements on data access, permissions, record-keeping and responsibilities, in line with the GDPR and the AI Act. Built in from the start, not repaired afterwards.
Use case library and way of working
Reusable applications, intake questions, templates and a fixed way of working, so every next client engagement runs faster and more predictably than the last.
Ongoing support
A fixed point of contact in the background for the more complex questions, new technology and those moments when you want to talk something through before you commit to it.
How do we approach it?
From exploration to an AI offering you deliver independently, in steps that already give you something along the way.
-
Exploring your client portfolio
1-2 weeksWe look together at your client base, the sectors where you are strong and the questions already coming your way. From that we distil the opportunities where AI delivers value fastest for your clients.
-
Designing the proposition and service model
2-3 weeksWe put your AI offering on paper: which services you deliver, how you set them up as recurring services, what you do yourself and where we step in. Including the story you use to open the conversation with clients.
-
Training your own team and applying AI internally
2-4 weeksYour engineers, consultants and account managers gain the knowledge to advise on AI. At the same time we put AI to work inside your own organisation, so you speak from experience instead of from a slide deck.
-
Running the first client engagements together
per engagementWe do the first engagements together: you hold the client relationship, we bring the implementation experience. Each time, more of the work shifts towards your team.
-
Scaling up and handing over
ongoingWays of working, templates and use cases become reusable, so you run new client engagements independently. We stay available for the more complex questions.
Which AI services can you offer your clients?
Workplace AI & adoption
AI at the workplace that actually gets used
Many clients already have licences for workplace AI such as Microsoft Copilot, but usage lags behind. An adoption programme with clear use cases per role, practical guidance and measurable usage turns that into a service you can deliver every month.
Chatbots & knowledge systems
Answers from the client's own documents
Manuals, procedures, contracts and product information are scattered across folders and systems. A knowledge system or chatbot on those own sources gives staff and clients an immediate answer, with a reference to the source document. A concrete first application that shows results quickly.
Document processing & process automation
Taking the manual work out of administration
Invoices, orders, forms and emails that someone retypes by hand: that is work AI is good at. By automating the processing and connecting it to the client's existing systems, you deliver a saving you can demonstrate.
You don't have to build anything from scratch: these are applications we have already put in place at organisations. See how we approach AI training, AI implementation and an ongoing AI partnership — those are the building blocks we bring to your clients together with you.
Why joining forces is faster
Building an AI team from scratch
We bring in implementations we have already done, so you don't have to hire scarce talent away just to get started.
Referring clients to an AI agency
You remain the party that advises, delivers and invoices. We stand behind you, not next to your client.
Waiting until the picture gets clearer
Within a few months you deliver a first service, instead of building for a year before you can sell anything.
And the knowledge stays with your team: with every engagement we hand over more, until you run it independently.
We make your team the AI expert
Our aim is not for you to become dependent on us, but for your own people to become the AI experts towards your clients. That is why knowledge transfer sits in every step: from designing the proposition to the first client engagements we run together. We don't build an MSP portfolio of our own and we don't approach your clients independently; we put that in writing at the start.
During the build-up phase you decide how visible we are. White-label: we work under your name and the client sees your team. Co-branded: we sit at the table openly as your AI partner, which on larger engagements actually builds trust. In both cases the client relationship, the contract and the point of contact stay yours.
That way you grow from MSP to managed intelligence provider at your own pace: we bring the implementation experience, your team builds the offering and becomes stronger for it. You deliver the service, with us in the background for as long as that is needed.
Frequently asked questions about an AI offering for MSPs
What is a managed intelligence provider (MIP)?
Managed intelligence provider is the term used in the channel world for MSPs that, alongside managing infrastructure, also advise on, implement and manage AI applications for their clients. Where managed services is about keeping workplaces, cloud and security running, managed intelligence adds a layer on top of that: AI that measurably takes work off people's hands at the client. That is exactly the step we help you take, from MSP to managed intelligence provider: with a proposition, trained people and the first client engagements together.
Aren't you going to run off with our clients?
No, and we put that in writing up front. We work behind the scenes for you: the client relationship, the invoicing and the point of contact stay with your organisation. At the start we agree how we present ourselves to your clients and that we do not approach them independently. Our business models don't clash: you deliver the service, we help you be able to deliver it.
How much AI knowledge does our team need already?
Not much, but you do need to want to learn. Most MSPs have exactly the foundation that is needed: knowledge of the IT environment, of the processes at the client and of working project by project. What is missing is experience with AI implementations, and that is precisely what we transfer. We start with the people who will have to do it: engineers, consultants and the people who lead the conversation with the client.
Do you work white-label or co-branded?
Either works, it's your choice. White-label means we work entirely under your name and the client only sees your team. Co-branded means we sit with the client openly as your AI partner, which sometimes builds trust on larger engagements. Many partners start co-branded on the first projects and move to white-label as soon as their own team takes over.
How quickly can we deliver our first AI service?
A well-defined first service can usually be delivered to your first clients within a few months. That works because we don't build everything from scratch: we start with proven applications and a way of working that already exists. The first weeks go into the proposition and training, after which the first client engagement follows, which we run together. If you'd like an indication for your situation, we'll discuss it in an intro conversation.
How do we handle security, GDPR and the AI Act?
From day one, not afterwards. We build a framework into your services setting out which data may go where, how access rights follow the existing permissions in the client's environment, what you record about usage and how you meet the obligations of the GDPR and the AI Act. For MSPs that is not a side issue but a selling point: your clients ask about it first.
Your clients are asking for AI. Be the one with the answer.
Schedule an intro. In half an hour we'll discuss your client portfolio, where the first AI service logically starts and what working with us looks like.