Forward Deployed Engineering

Cross-functional pods deployed to your teams — turning AI ambition into production reality with real data, real compliance, and real business value. Outcome-based deliveries.

Why is it hard to unlock value from AI?

A successful AI implementation requires more than just models — it requires the right team, approach, and governance.

icon-target
A successful AI implementation is…
  • In the hands of end users
  • Connected to live production data sources (not a PoC)
  • Compliant with regulations
  • Able to explain what it did, why, and can be corrected
icon-gear-fine
To do this successfully, you require:
  • An iterative approach
  • Working at pace
  • A cross-functional team (domain, tech, operations, risk & controls)
  • Fluency in rapidly evolving AI frameworks, techniques and platforms

Challenges we solve for our customers

1.

Close AI talent gap

Severe talent shortages in specialized AI/ML roles plus aggressive hiring by Tier 1 players.

2.

Navigate AI regulations

New regulatory requirements (SR 11-7, EU AI Act) creating compliance complexity.

3.

Unlock experimentation

Fear of failure that prevents experimentation at lower-maturity organizations.

4.

Keep pace with AI innovation

Rapid evolution of AI capabilities that outpaces internal learning curves

Business Transformation

Transformation Forward Deployed Engineering

Cross-functional teams delivering innovation — rapidly deployed, outcome-driven, and built for scale.

Our Forward Deployed Engineering Pods offer a team-based engagement to explore AI opportunities, identify value and rapidly and iteratively build a solution which can be put in the hands of users — all connected to real data and in a compliant manner.

Maximize proximity and cost efficiency

Can scale to address various problems in parallel

Are rapidly deployed (4 weeks notice)

Will work within your AI governance framework and use your AI platform — or we can bring our own Enterprise AI platform accelerators

Define the business case within the first month and then switch to an outcome-based engagement based on value

Technology Transformation

Modernisation Forward Deployed Engineering

Our Forward Deployed Engineering Pods offer a team-based engagement to explore core systems modernization, code migrations and enable software development teams to maximize their use of AI tooling.

Maximize proximity and cost efficiency

Can scale to address various problems in parallel

Are rapidly deployed (4 weeks notice)

Will work within your AI governance framework and use your AI platform — or we can bring our own Enterprise AI platform accelerators

Define the business case within the first month and then switch to an outcome-based engagement based on value

Ready to deploy AI that delivers?

Our Forward Deployed Engineering Pods can be stood up in 4 weeks. Let’s discuss your AI ambition and define the business case within the first month.

Get in touch