- Format
- An ongoing monthly partnership with clearly defined delivery
Your outsourced AI team, on tap. Every month, we move your company further.
New opportunities, agreed automations, a monthly impact report for leadership – without you having to build an internal department. Your outsourced AI team that keeps up the pace while you run the business.
AI transformation isn’t a project with an end date. It’s an operation. The diagnostic, the training, and the first deployment are the start. The real edge comes from a company that moves forward with AI systematically every month, not in bursts whenever someone happens to find the time.
Did you know us through AI Support as a Service (AISaaS)? This is its successor – the same idea of long-term support, set up and explained afresh: defined monthly delivery and measured impact instead of “hours of support.”
Sound familiar?
- You got AI going, the first things work – and now it’s stalled. No one internally has the time to find further opportunities and push them into operation. What got started is slowly drifting back into old habits.
- You want the company to keep moving forward with AI, but you don’t have the people for it. Hiring a senior AI person is expensive, hard to find, and not something you’d employ full-time for one company.
- You don’t know what the next sensible step is. The market changes every month, tools keep appearing, and you don’t have the capacity to track what actually makes sense for you.
- Leadership is asking what AI is actually delivering – and you don’t have the numbers on hand. What’s missing is someone who measures it continuously and lays it on the table clearly once a month.
An outsourced AI team that keeps up the pace, delivering new opportunities, agreed automations, and a monthly impact report for leadership, without you having to build an internal department.
What you get
- Defined monthly delivery, not vague “hours of support.” Every month, an agreed package: mapping new opportunities, an agreed volume of automations and improvements, mentoring and Q&A for your team. We agree the scope in writing at the start – both sides see the same thing from day one.
- Ongoing mapping of further opportunities. We don’t stop at what’s already running. We systematically look for where AI can help you further – department by department, process by process – and build a pipeline of further pilots from it.
- A monthly impact report for leadership. What got finished, what measure we used, and what the available data showed. And when we can’t demonstrate a payoff, the report says so directly – so leadership’s decisions rest on facts, not on our presentation.
- The role of an external AI leadership function. You’re not making decisions alone. We’re your sparring partner on direction – what to deploy, what can wait, what to avoid – and the guarantor that the whole thing runs on a system, not chance.
How it works
- Ramping in from adoption (or an initial alignment) – we typically arrive after the adoption program, so we already know the company and its processes. We agree the level, the goals for the coming period, and what makes up the monthly delivery.
- Monthly cadence – a recurring rhythm: mapping opportunities, agreed automations and improvements, mentoring for the team. You know in advance what’s happening in a given month.
- Measurement and a report for leadership – we measure the payoff continuously and hand it to leadership clearly once a month: what was done, what it delivered, the next step.
- Quarterly direction-setting – once a quarter, a step up: where the company stands on its AI path, what to move from pilot into operation, where to point the next period.
- Documentation and knowledge handover – we continuously record solutions, decisions, and next steps (typically into your own knowledge base), so operational know-how stays with the company, not just with the external team.
Levels
- Core – an entry level for companies that want to keep up the pace after their first deployment: mapping opportunities, a smaller agreed volume of improvements, a monthly report, Q&A.
- Advanced – for companies actively expanding AI across departments: a larger monthly volume of automations, regular mentoring, the role of external AI leadership.
- Enterprise – for companies where AI is a strategic priority: the broadest delivery, priority capacity, deeper involvement in direction and governance.
The exact content of each level, capacities, and both sides’ responsibilities are part of the written offer – we don’t start the partnership without agreeing them. Moving between levels is smooth – you grow when it makes sense.
FAQ
How is this different from hiring an AI employee?
What exactly do I get every month?
Why isn’t this just “hours of support”?
What’s the commitment, and am I locked in long-term?
Who is this NOT for?
How is the payoff measured?
Where will solutions run, and how do you handle our data?
Do we have to go through the whole path to hire you this way?
What the monthly delivery contains exactly, and what you provide for it, is defined in writing when choosing the level of collaboration, so both sides see the same thing from day one.
Next step
The companies that win with AI aren’t the ones with the best one-off project. They’re the ones that keep moving forward every month. This is how to be one of them, without having to build a whole internal department.
Let’s book an initial consultation – we’ll go through where your company stands on its AI path and whether an ongoing partnership makes sense right now.
Still getting adoption going? Take a look at the Adoption program, where clients typically come to us from.
Let's book an intro consultation
In 30 minutes you will know whether it makes sense for your company and what the best first step is.