Insights

Understand how systems are analysed, built and improved

Technical explanations about architecture, data flows, decision models, AI and knowledge systems, integrations, observability, production and operations.

Technical themes

From architecture to operation

Architecture and data flows

Make boundaries, sources, transformations, dependencies and failure paths visible.

Decision systems

Make the route from evidence to judgement, action and outcome explicit.

Learning loops

Design work so new outcomes and feedback become evidence for the next improvement.

AI and knowledge systems

Treat context, retrieval, evaluation, source authority and human control as system concerns.

Integrations and production

Design permissions, releases, recovery and operating ownership beyond a demonstration.

Observability and operations

Measure system health, model behaviour, exceptions and impact as the context changes.

Machine learning

Use models only when the task, representative data, evaluation and continued monitoring justify them.

PKA guides

Six decisions that shape the right architecture

Evidence before complexity

Learning does not make every system an AI system

  • Simplify the process when technology would only preserve unnecessary complexity.
  • Use deterministic rules when they are clearer and more reliable.
  • Use automation when the inputs, exceptions and ownership are sufficiently understood.
  • Use machine learning or neural networks only with suitable data, evaluation and monitoring.
  • Keep human judgement explicit for uncertain or consequential outcomes.