Forward deployed AI team

A senior AI pod that embeds directly in your organization. Working inside your codebase, your data, and your problems to ship production AI in weeks, not quarters, and hand the keys back to your team.

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Experienced team of Artificial Intelligence Professionals
Proven track record in helping businesses with AI
Custom AI Solutions

What are Forward Deployed AI experts?

Forward deployed AI experts are senior engineers who don’t work on your project from a distance,they embed directly inside your organization. They sit with your team, plug into your codebase and data, and build production AI alongside the people who understand the business.

Unlike traditional consultants, who hand over a strategy deck and a prototype before walking away, forward deployed experts learn your domain and constraints first-hand, ship working software every sprint, and adapt as priorities shift. That closes the gap between understanding the problem and actually solving it in production.

A Forward Deployed AI Team brings these experts together as one senior pod — designing, building, and embedding AI in your stack, then pairing and transferring ownership so your team can run it long after the engagement ends.

AI Afbeelding Generatie Workshop

"Our customer contact center anticipates 30% reduction in manual workload."

Gielis Dijk

IT Manager @ Omrin

Gielis Dijk Omrin

Capabilities that scale

Built by senior engineers, designed for leaders. A complete delivery capability that plugs straight into your organization.

Full-stack AI delivery

From data pipelines and model training to the interfaces around them, the pod owns the whole build, end to end.

Embeds in your tools

We work inside your repos, Slack, Jira, and CI joining standups and reviews like any other member of your team.

Enterprise governance

Proper testing, security reviews, and EU data residency every model is production-grade, auditable, and compliant.

How does a Forward Deployed AI Team work?

AI Agents

Embed & discover

The pod joins your team on-site, plugs into your repos and data, and spends the first sprint mapping the highest-value problems worth building.

Build in sprints

We ship working software every sprint: models, pipelines, and interfaces, into your production stack, pairing with your engineers as we go.

Hand off & scale

We transfer ownership with documentation and pairing, then flex the pod up or down as your roadmap grows or step away entirely.
nick ai expert new

Meet one of our forward-deployed AI experts

Meet Nick, one of the AI engineers who embeds with client teams to design and ship production AI on-site.

Like Nick, all of our experts hold a Bachelor's and/or Master's degree in AI. Besides building the intricate AI solutions for our clients, our engineers pair closely with your team, so the capability stays long after the engagement ends.

Scale Partnership

Multiple coordinated pods and enterprise governance across programmes.

Custom Quote

Also available in the USA
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Custom Forward deployed AI team

Multiple coordinated pods

Dedicated delivery lead

Enterprise security & governance

Scalable & Future proof

Roadmap & capability planning

Offset Your AI's CO2 Footprint

Help reduce the environmental impact of your AI operations. Based on your AI usage, we plant trees to offset the CO2 emissions!
Get more details or be informed when contacting our AI Experts. 

Let's have a talk!

We love to explain more about DataNorth AI via a short phone call. Leave your contact details  in the contact form and we will get in touch with you!
Menno Fokkema
Menno Fokkema
Founder & CEO
You can reach us during 9 AM - 5 PM (CEST timezone) on our phone number +31 (0)50 211 2304.
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Frequently Asked Questions

  • How is a Forward Deployed AI Team different from a normal consultancy or staffing agency?

    Consultancies hand you a strategy deck; staffing agencies drop in contractors and leave you to manage them. Our pod embeds as one team, owns delivery end-to-end, and ships production software into your stack, then transfers it to your people so the capability stays after we’re gone.

  • Who is in the pod, and can we scale it?

    A typical pod is a senior AI architect plus ML and data engineers, experienced engineers only, no juniors billed to your project. You can flex the size and mix of skills sprint to sprint as your roadmap changes, scaling up for delivery pushes or down as your own team takes over.

  • Do you work on-site, remote, or hybrid and inside our systems?

    We default to on-site or hybrid, being in the room is what makes embedded delivery work and join your standups, repos, and tooling directly. We build into your stack with proper testing, security, and EU data residency, so everything stays compliant and audit-ready.

  • What happens when the engagement ends?

    Knowledge transfer is built into the engagement, not bolted on at the end. We pair with your engineers and document as we go, so when we step away your team typically sees:

    • Production AI they fully own and can maintain.
    • Upskilled engineers who built it alongside us.
    • No lock-in the code, models, and know-how stay with you.

  • Do you have alternative Agile AI Team services?

    We have! Besides Forward deployed AI team we also offer