Capability / 01iPower · Zürich

AI systems built for real operating contexts.

Applied AI designed around specific workflows, organisational knowledge, permissions and quality requirements — not added as a feature for its own sake.

AI assistantsKnowledge systemsAI qualityWorkflow integration

01 / Focus

The model is only one part of the system.

Useful AI starts with the operating problem. We define where AI can create practical value, what context it needs and which decisions should remain deterministic or human-controlled.

The engineering work sits around the model as much as inside it: interfaces, knowledge, permissions, evaluation, monitoring and the surrounding application all shape whether an AI system is useful in practice.

02 / Systems

Applied AI as an engineered system.

AI assistants & workspaces

Controlled AI interaction designed around a specific role, workflow or operating context rather than a generic chat interface.

Interaction / workflow

Knowledge-enabled systems

AI systems connected to governed organisational knowledge with clear source boundaries and retrieval foundations.

Knowledge / retrieval

AI quality & monitoring

Evaluation, review and operational visibility for understanding how deployed AI systems behave over time.

Evaluation / quality

AI-enabled workflows

Server-side AI capabilities integrated into software and operational workflows through clear interfaces and controls.

Integration / operation

03 / Engineering

Control, context and quality stay close to the build.

AI systems need more than a prompt and an API call. We design the surrounding boundaries deliberately so that access, data, quality and operational behaviour can be understood and improved.

ContextRelevant

AccessControlled

QualityObservable

OperationMaintainable

04 / Selected work