AI systems architecture
We apply what we learnt building CAI — our ten-agent autonomous trading system — to your problem. Who decides what, what gets stopped and when, and where the cost is held: we write all of it into the architecture.
Who it is for
- Companies that want AI to move beyond a demo and into real work.
- Organisations that want an assistant working with their own documents and data.
- Teams whose AI project has started but drifted out of control, or out of budget.
- Teams that want to connect their internal tools to AI through Claude Code and MCP.
What we deliver
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Architecture consultancy
We review your current or planned system and set out each agent's role, the decision flow and its limits in a written architecture note.
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Multi-agent systems
Agents that each focus on one job, and an orchestrator that runs them; every decision is logged with its reasoning.
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In-house assistant
An AI assistant that works with your documents, records and tools, and knows the limits of its permissions.
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MCP and tool integration
MCP servers and integrations that open your internal systems to AI models safely.
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Risk and cost budget
Kill switches, steps that need human approval and spending limits, designed in from the start.
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Team training
Hands-on workshops so your team understands the system and can keep developing it.
How we work
- 01
Discovery call
Which decision or task will AI genuinely improve? We weigh the expectation and the risk together.
- 02
Architecture note
Agents, data sources, limits and success measures in a short written plan. It is often the most valuable deliverable.
- 03
Prototype and measure
We start with a small but real version and measure accuracy, cost and speed.
- 04
Roll-out and training
Going live, monitoring and handover to your team. After that we can carry on with monthly support.
Technology and method
- Büyük dil modelleri
- Claude
- MCP sunucuları
- Çok ajanlı orkestrasyon
- Şirket içi bilgiyle çalışan asistanlar
- Değerlendirme ve gözlemlenebilirlik
- Maliyet ve risk bütçesi
Frequently asked questions
Can we engage you for consultancy only?
Yes. The architecture review and written architecture note can be taken on their own, and your own team can do the build.
Where is our data processed?
We decide this together at the very start. Which data goes to which model, and where it is kept, is defined in writing.
What if the AI makes a wrong decision?
We build for exactly that: human approval at critical steps, automatic stops when limits are crossed, and every decision logged with its reasoning.
Who owns the source code?
On request, the source code and architecture documents are handed over to you at delivery.
Let's talk about your project.
There is no price list; scope is set in the first conversation and a clear quote follows. We reply within two working days.