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Cognitive architecture

We design how
your AI should work.

We define roles, memory, resources, protocols, tools, coordination and oversight so your system can work with greater clarity and consistency.

◎ Tailored to your context⚙ Practical approach▥ Explicit evaluation
FUNCTIONAL DESIGN

Cognitive Architecture

How your AI's work is organised

Conceptual diagram
MCCCoordination
RMCReview and monitoring

Explore components and objectives. Their relationship is designed and then evaluated; improvement is not guaranteed.

FirstEvaluate
AfterIntervene
FinallyVerify

Design objectives. Improvements are verified through evaluation.

What we improve

1

Less noise

We review ambiguous instructions and inconsistent behaviour.

2

Clear roles

We define what each system component should do.

3

Better use of knowledge

We organise sources and retrieval criteria.

4

Error control

We design validation, limits and escalation to people.

Before / after · conceptual comparison

Situation we review

Scattered information and ambiguous roles

  • Duplicate or conflicting documents
  • Sources without a clear hierarchy or version
  • Poorly defined tool use
  • Unclear limits and oversight
Intervention objective

A structure designed for the role

  • Selected and organised sources
  • Explicit roles and procedures
  • Coordinated tools
  • Evaluation and escalation criteria

Conceptual comparison. Structuring the architecture does not guarantee improvement: results must be evaluated.

What we deliver

Architecture map

Technical diagrams

Functional role contracts

Protocols and specifications

Implementation priorities

Evaluation criteria

From data to decisions

Turn potential into performance.

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