We ship AI into production on two tracks.

AI leads every engagement and never assumes a cloud. Cloud engineering is the other half of what we do, and it is where the AWS partnership earns its keep.

Tracks AI and Cloud

Services Nine, all fixed scope

Entry point A two week assessment

Start with AI. It leads every engagement.

Five pillars, ordered the way an engagement usually runs. Cloud-agnostic, every one of them.

01AI-native product engineering Full product and platform builds with AI in the architecture from day one, not bolted on after launch. 8-16 wks 02Generative AI and agents Systems that act on your company data and workflows, not generic chatbots. Where current enterprise demand is concentrated. 4-8 wks 03AI strategy and advisory Fixed-scope roadmap work, never open-ended hours. 1-3 wks 04Intelligent automation Workflow and document automation for operational pain. 3-6 wks 05Managed AI operations SLA-backed operation of deployed AI systems. Retainer

Cloud engineering, the other half of the work.

Running AI on AWS is cloud engineering, so it lives here rather than in the AI track.

06Cloud migration and modernization Move and modernize workloads onto AWS and other clouds: migration, replatforming, IaC. Per estate 07AI on AWS Run AI and ML workloads on AWS: Bedrock, SageMaker, MLOps, and model-deployment infrastructure. Per workload 08Cloud managed services Ongoing run and operate: monitoring, patching, incident response, SLA-backed support. Retainer 09Cloud security and compliance Security hardening, IAM, and compliance posture (SOC2, HIPAA, PCI) on the cloud. Per estate

Whichever pillar you start in, the shape is the same.

01 Assess Two weeks, fixed scope. Use cases found, prioritised and costed.

02 Scope One use case becomes a defined build with a date and a number attached.

03 Build Shipped to production on your stack, with evals and guardrails in place.

04 Operate Monitoring, tuning and cost governance under an SLA, if you want it.

Nothing here is open-ended hours. Every stage has a scope, a date and a number attached before it starts.

Not sure which pillar you need?

That is what the readiness assessment is for. Two weeks, fixed scope, and it ends with a ranked list rather than a proposal.

You leave with a costed plan you can act on, whether or not you build it with us.

What you leave with

A prioritised list of AI use cases, scored on value and effortA costed plan for the top one, with a delivery dateThe architecture it would need, on the stack you already runAn honest read on what is not worth doing yet Book an assessment No pricing games. We scope it on the call.