Services

From prototype to production

Most generative-AI pilots never reach production — and the bottleneck is not the model. It is architecture, security, data, cost, evaluation and compliance. Those are exactly the areas we work in every day. We join at any stage and take it through to production.

Who it is for

• SME and mid-market companies with a working AI pilot or prototype
• Teams whose AI initiative has stalled before production
• Product owners adding AI features to an existing product

Scope

AI readiness review

A fixed-scope review (1–3 weeks) covering architecture, security, data, evaluation, cost and EU AI Act exposure — ending in a prioritised remediation roadmap, using the same method as our architecture reviews.

AI platform (with deep AWS expertise)

The foundation on which AI scales safely: identity, access policies and guardrails, knowledge bases (RAG), observability and evaluation, FinOps and infrastructure as code. We deliver on Amazon Bedrock and AgentCore among others — without lock-in to a single vendor.

Delivery acceleration

Rolling out AI-assisted coding with guardrails: architecture boundaries, review gates, test and evaluation strategy, decisions (ADRs) — speed without the tech-debt tax.

AI in your product

From AI feature strategy and prioritisation, through RAG/agent design and modular architecture, to the economic model and production rollout.

Why Coderon

The bottleneck between pilot and production is engineering, not the model — and that is exactly where we work every day.

How we work

We start from value and constraints, not the model. We work close to your team, measure the effect, and leave them self-sufficient when we are done.

Architecture that keeps up with the product

Good architecture is not a diagram — it is a set of deliberate decisions that make the team’s daily work easier. We help design systems that are testable, scalable and safe to change.

Where we help

• Distributed system design and service decomposition
• Domain-Driven Design and domain modelling
• Integration patterns, data consistency and asynchronous messaging
• Architecture reviews and technical decisions (ADRs)
• Test strategy, observability and reliability

Cloud & AWS

We design and deliver cloud architectures — serverless and event-driven, aligned with good practice (including the AWS Well-Architected Framework). In practice that means compute and integration design, infrastructure as code (Terraform), CI/CD pipelines and cost optimisation. Architecture comes first, though — we fit the solution to the problem, not the other way round.

Why Coderon

You get an architecture matched to the real constraints of your team and business — documented, justified and ready to implement.

Compliance built into the system

The EU AI Act is coming into force — high-risk system and transparency obligations from August 2026, synthetic-content labelling from December 2026, penalties up to €35M or 7% of turnover. We help you meet these in the architecture, not just in a document.

Who it is for

• EU companies deploying or shipping AI systems
• Especially high-risk use cases (Annex III)
• Teams that need audit-ready compliance

Scope

• AI system inventory and risk classification
• Gap assessment and technical documentation
• Data governance, transparency and content labelling
• Monitoring implemented in the solution architecture

Scope of responsibility

We work in architecture and governance — formal legal opinions are provided by a partner law firm. We pair this with the coaching track for board-level accountability and oversight.

Why Coderon

We are EU-based and architecture-led — compliance that is built, not just advised. Few SME-focused providers combine both.

We teach what we ship

Our training is delivered by engineers who design and build cloud systems every day. Instead of slideware — real cases, exercises and architectural decisions discussed on concrete examples.

Format

• Remote or on-site workshops, tailored to your team’s level
• Curriculum built around the technologies you actually use
• Materials and exercises to keep and reuse after the workshop

The catalogue spans three tracks: architecture & cloud, AI engineering and leadership. See the training section for details.