We build AI that actually works
inside your system
We design AI agents, automations and integrations that fit into your architecture and your organisation.
Not isolated prototypes: solutions you can control and maintain, built with data sovereignty in mind.
AI works fine as a prototype. Then what?
Tools disconnected from your core system
Prompts with no versioning and no oversight
Everything depends on one person
No integration with your actual workflows and processes
No observability or control over the data being processed
Without a solid structure, AI is just noise
Integrated AI, not an experiment
Agent design
We design agents with a clear scope, defined responsibilities and state checks, aligned with your organisation and your existing processes
Architecture integration
We connect AI to databases, APIs, workflows and real processes, working with your existing architecture rather than replacing it
Maintainability and control
Logging, versioning, metrics and fallbacks: no black boxes, no data beyond your control
Data sovereignty
We define where data stays, who can process it and how the agent uses it, with no hidden dependencies on external providers
How we approach AI
We define the agent's scope and the data it is allowed to handle
We design the flows, fallbacks and data sovereignty boundaries
We integrate with your existing architecture and organisation
We put logging, metrics and audit trails in place
We set the system up so your team can run and own it
Inside your boundary
Real-world processes
requests, data, events
AI agent
defined scope and responsibilities
Your systems
Your data stays inside your boundary. No black boxes.
What we don't do
We don't sell off-the-shelf AI tools disconnected from your system
We don't build demos that won't scale in production
We don't leave behind prototypes nobody can maintain, or data nobody controls
We don't make you dependent on a single person or an external provider
We build systems that stay under control
It's the right time if:
Your use of AI is fragmented
You've experimented, but haven't integrated anything yet
You want to get AI into production
You want to reduce the manual work your team actually does
Related problems
These warning signs tend to show up together. Explore the related topics.
Further reading in Learn
Articles by our team that look closely at the issues behind this challenge
AI in business: what actually works and where to start
AI isn't a tool you buy. It's change you have to manage. A practical guide for anyone running a business: where to start, what to avoid and when it actually works.
Mandatory AI training at work: compliance obligation or competitive advantage?
Since 2 February 2025, every company using AI tools has had to provide adequate training. Treat it as a compliance box to tick and it's a cost. Treat it as an investment and it's the first step towards adopting AI with real results.
Startup delivery slowdown: why speed drops as you grow
Many startups find that growing the team doesn't speed up delivery. The slowdown is often the result of architecture, organisation and dependencies that stop evolving together.
Cost of change in software development: why it keeps growing
As software grows, changing the product gets harder and harder. The cost of change is one of the clearest signs that architecture, organisation and delivery have stopped evolving together.
Serious about integrating AI into your system?
Let's talk architecture, not prompts
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