Services · What we build

What we build.

Five service lines, one studio: product development, product design, AI automation, embedded engineering, and AI transformation. Every engagement ships documented, with a clean handover.

Our services

Five service lines.

From the first working version to full AI transformation. Plus AI commercial videos as a sixth offering from the studio. Every service ships production-ready, documented, and yours to own.

01

Product Development

AI-native custom software, built by senior designers and engineers from the CODE network. From landing page to first product version to complex systems, at a fixed price.

  • First version in 2–3 weeks
  • Fixed scope, fixed price
  • Production-ready handover
Learn more →
02

Product Design

User-centred product experiences that convert. Function, emotion, and brand in interfaces people actually use. Your design department on demand.

  • UX audits + user flows
  • Scalable design systems
  • Dev-ready handoff files
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03

AI Automation

AI agents that take over entire workflows, so your team focuses on what only humans can do. Proven patterns, no blank-page builds.

  • Support, ops, sales + growth agents
  • Integrations incl. n8n + APIs
  • Guardrails + monitoring
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04

Embedded Engineering

AI-fluent senior engineers, embedded in your team. They join your stand-ups, your codebase, and your Slack, shipping from week one.

  • Embedded + shipping in 1 week
  • 2–3x output vs. a classic hire
  • Retainer or sprint, predictable cost
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05

AI Transformation

From AI-distant to AI-native. We develop your AI strategy and implement it across product, processes, and people. One partner for both.

  • 30/60/90-day audit
  • Quantified ROI per use case
  • Strategy + implementation
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06

AI Commercial Videos

Also from the studio: AI-generated commercial videos for marketing, social, and brand. Scripted, generated, edited, and delivered as ready-to-use assets, no production crew, no studio day rate.

  • Script + storyboard
  • AI generation + edit
  • Delivery-ready cuts
AI practice

A dedicated AI practice.

AI runs deep enough to be its own practice, with its own process, pillars, use cases, and workshops. There's a whole page for it.

See the full AI page →

AI Strategy

Find the right problem before building. Process and data audit, use-case scoring, and a prioritised roadmap.

AI Development

Agent architecture, guardrails, evaluation, and rollout. From prototype to a production system your team can own.

AI Operations

From experiment to dependable operation. Monitoring, re-training, and running AI systems in production.

Workshops

Half-day to two-week engagements.

Practical, structured, immediately applicable. Run by the same people who build the projects.

Experience & Understand AI

~2 hours
Who it's for

Decision-makers and practitioners who want to grasp what AI can do today. No technical background required.

You'll leave with

A grounded, hype-free picture of what's realistic, anchored in live demos of real applications.

  1. Live demonstrations of real AI applications, framed in business and operational terms.
  2. Where AI fits, and where it doesn't, mapped to your context.
  3. Depth on demand: strategic overview through to technical detail, tuned to the room.

Develop Use Cases, Reach Impact

~4 hours
Who it's for

Practitioners and teams who want to turn their own processes into concrete AI use cases.

You'll leave with

A prioritised set of use cases scored on impact, effort, and cost-effectiveness, plus realistic next steps.

  1. Translate real processes and challenges from your organisation into candidate use cases.
  2. Prioritise by impact and effort; assess the business case for each.
  3. Agree feasibility, benefit, and a realistic next step per use case.

From Idea to Prototype

~6 hours
Who it's for

Innovators and teams ready to get hands-on and build, not just plan.

You'll leave with

A first rapid prototype built on real processes and data, plus a realistic read on implementation effort.

  1. Hands-on hackathon or prototyping session on a real use case.
  2. Build a first AI solution close to your actual processes and data.
  3. A rapid prototype: fast learning, tangible results, an honest effort estimate.

AI Foundations for Teams

Half-day to 1 day
Who it's for

Non-technical teams, leadership, and product managers.

You'll leave with

Shared language around AI and a prioritised list of real use cases.

  1. Part 1: How LLMs actually work, without the hype.
  2. Part 2: Use cases by function (ops, sales, support, content).
  3. Part 3: Build vs. buy vs. avoid, and how to evaluate tools.

n8n Automation Sprint

1 Day
Who it's for

Teams building their first automation workflows.

You'll leave with

3 live, documented n8n workflows your team can run and maintain.

  1. Morning: n8n fundamentals, flow design patterns, and common integrations.
  2. Afternoon: Hands-on build session with your own use cases.
  3. End: Deployment, monitoring setup, error handling, and handover docs.

Agentic Workflow Design

1 Day
Who it's for

Technical teams and product leads ready to build AI agents.

You'll leave with

Designed agent architecture for 1–2 real use cases, with a prioritised roadmap.

  1. Morning: Agent design patterns, tooling landscape, and failure modes.
  2. Afternoon: Architecture workshop, design your own agent with guardrails and eval.
  3. End: Prioritised roadmap with effort and risk estimates.

Use Case Discovery & Roadmap

1–2 Weeks · Hybrid
Who it's for

Teams with AI ambitions but no clear starting point.

You'll leave with

Prioritised AI roadmap with effort/impact matrix and a clear next step.

  1. Week 1: Process audit, stakeholder interviews, and opportunity mapping.
  2. Week 2: Use case scoring workshop, roadmap design, and final presentation.
Common questions

What teams ask us.

What types of B2B projects does Product Studio at CODE take on?

Product Studio at CODE runs five service lines for B2B teams. Product development delivers AI-native custom software, from landing pages to first product versions to complex systems, at a fixed price with a first working version in 2–3 weeks. Product design covers UX audits, user flows, scalable design systems, and dev-ready handoff. AI automation designs and builds production-grade AI agents for support, operations, sales, and growth, integrated with your existing tools including n8n. Embedded engineering places AI-fluent senior engineers directly in your team, shipping from week one on retainer or sprint terms. AI transformation pairs a 30/60/90-day audit with implementation across product, processes, and people. AI commercial videos round out the offering as a sixth line. Most B2B projects start around €10,000, and every engagement ships documented with a clean handover.

How quickly can a product studio deliver a scoped B2B software project?

Delivery speed depends on scope, but each service line has a defined clock. Product development ships a first working version in 2–3 weeks, with fixed scope and fixed price agreed before the build starts. Product design reaches a first shippable UI in about six weeks. AI automation puts a first high-value agent use case live within weeks, and repeat use cases build in roughly a quarter of the time of the first. Embedded engineers are inside your team and shipping within one week, with no recruiting lag. AI transformation runs as a 30-, 60-, or 90-day audit instead of a six-month strategy phase, followed by sequenced implementation. Every project starts with a scoping session that fixes the brief, the timeline, and the review checkpoints in writing. Fast delivery comes from a tight process, not from cutting corners.

What does a documented handover from a product agency include?

Every engagement at Product Studio at CODE ships with a structured handover so your team owns the output from day one. Product development hands over a deployed application, a clean production codebase, deployment setup, technical documentation, and a team rollout session. Product design delivers dev-ready files, a scalable design system with components and tokens, and a living design library your team owns. AI automation includes architecture documentation, guardrail and escalation rules, a monitoring dashboard, and a runbook for operating the agents. Embedded engineering leaves production code in your repo, built to your standards. AI transformation closes with an AI adoption report, a technical annex, and training programmes that make the change stick. Every handover includes a scheduled walkthrough with the people who built it. Documentation is a core deliverable, not an afterthought or an upsell.

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