Add AI to your SaaS product
For proven SaaS scale-ups, we provide a dedicated team that adds AI to their existing product
A dedicated product unit working on your AI engine
The team we provide will be working dedicated under your leadership to build an AI engine that can be integrated in your existing product.
Our strategists will first work on an AI roadmap that leverages the data your product collects or could be collecting.
Leveraging data will make your product future-proof and defensible, protecting it from losing to AI Native competitors.
They can copy the code easier than ever, but they can’t copy data you’re already collecting years before they started.
Average rating 9.8!
Experience in IT
Satisfied customers
Successfully delivered
Average response time
Team composition
The team consists of all players necessary to build an AI engine.
To save costs for the small units we deliver, we provide time shares for positions like project management and quality assurance.
Developers
Product leadership
Project management
Quality assurance
As your needs grow, the unit scales by adding developer capacity while product leadership, delivery guidance and QA support increase proportionally. This keeps the unit stable and prevents coordination issues as scope expands.
The collaboration
The Wise MInds Unit is fully responsible for the (sub) product it works on, while your leadership stays in control of the subjects that matter most.
Your Leadership
✅ Strategic priorities
✅ Business goals and roadmap
The Wise Minds Unit
✅ Daily delivery and coordination
✅ Quality control and testing
✅ Progress reporting
Integrated in your organisation
Our product unit integrates into your organisation, collaborating with your internal teams as one delivery organisation.
You retain ownership of direction: vision, product strategy, priorities and business outcomes.
We take ownership of the AI engine: AI strategy, planning, coordination, implementation, testing and reporting.
Through clear routines, shared tooling and transparent communication, you always know what is happening, what is next and where risks are.
The result is stable execution with less overhead, while leadership focus stays on the decisions that matter.
Starting at $6k per month
Pricing ranges from $6k–$32k per month, based on unit size.
Every setup includes a complete product team with all roles listed above. In smaller setups, some roles are dedicated part-time, and become more allocated as you scale.
Most Series A–B teams choose $12k–$24k per month.
Your team ready within 2 weeks
On average, we compile a team within two weeks. Part of the team comes from our existing pre-trained members and another part will be hired to fit the specific context of your business.
Frequently asked questions
What exactly do you provide?
We provide a product team that helps SaaS scale-ups embed AI into their product in ways that improve the experience and build on data competitors do not have.
Do we need to rebuild our product?
No. In most cases, the right approach is to start with focused improvements that create clear value, then build from there.
What if we already have an internal team?
That is often a strong fit. We can work on a specific product area, initiative, or transformation track without disrupting your existing team.
Are you a consultancy or an execution partner?
We are an execution partner. We bring a clear point of view, but the value is in helping you make the right changes real.
How do you find the right AI opportunities?
We look at where users need better outcomes, where workflows can be improved, and where your product has useful context or data that can make AI more effective.
What makes a feature harder to copy?
Usually, it is not the AI itself. It is the product context, workflow design, and proprietary data behind it. That is where stronger product advantage comes from.
Will we lose control over the product?
No. You stay involved in direction and priorities. We bring the team and operating rhythm to move the work forward with less management overhead.
How do we get started?
We begin by looking at your product, your goals, and where AI could create the most value. From there, we decide whether there is a strong fit.
