Agentic AI architecture / Consulting
Turn an agentic AI idea, prototype or design into a clear technical direction. Work directly with Anton Selin to decide what to build, how much autonomy to allow, and what your team needs before putting it into production.
01 / How I can help
For technology leaders, architects and engineering teams choosing where agents fit, moving beyond a prototype, or checking a design before committing to it. Pick the starting point closest to your situation; we will agree the scope together.
You have an AI opportunity or prototype, but the route to a usable system is unclear. Identify where an agent adds value, where a simpler workflow is better, and which decisions come first.
You know the use case and need a design your team can work with. Define the agent's responsibilities, tool access, data boundaries, human approvals and failure handling within your existing systems.
You have a proposed design and want another set of eyes before investment or release. Challenge assumptions about autonomy, permissions, integrations, observability and recovery.
These are starting points, not fixed packages. The exact outputs and depth of the work are agreed in your scope.
02 / How it works
Ardevant is Anton Selin's independent practice. You speak with Anton about your project and work with him on the architecture, with your team's constraints and decisions at the centre.
Based in Switzerland, working remotely or on-site by agreement. The engagement is scoped around a useful outcome, not a subscription or an open-ended commitment.
Meet Anton Selin →Share where you are today, what you need to decide and any broad timing. A short, non-confidential message is enough.
Anton replies personally. Together, clarify the problem, available evidence and what would make the work useful to your team.
Receive a written scope covering outputs, inputs, timing, fee and confidentiality before deciding to proceed.
03 / Start a conversation
You do not need a finished brief. Tell Anton where you are and what feels unresolved. He will reply directly to explore whether a focused engagement makes sense.
Your message goes directly to Anton. If there is a fit, you can agree a conversation and a written proposal. No commitment is made by sending an enquiry.
Prefer a call? +41 78 300 91 52
04 / Explore the approach
A closer look at the decisions behind practical agentic AI architecture.
Architecture review
A practical 12-question AI architecture review checklist for business fit, data, RAG, agent authority, security, evaluation, operations, and ownership.
Enterprise AI architecture
A practical enterprise AI architecture framework covering five runtime layers, three control planes, and the questions that expose production gaps.