Intent Understanding — What Is Being Asked
The agent first determines:
- What the input means
- What outcome is expected
- What signals are relevant
This includes:
- Interpreting natural language
- Understanding ambiguity
- Detecting incomplete or conflicting inputs
Misunderstood intent leads to perfectly wrong decisions.
Context Assembly
Before reasoning, the agent assembles context from memory and systems.
Context may include:
- User history
- Past decisions
- Policies and constraints
- Environmental signals
- Outputs from other agents
This step ensures decisions are situational, not generic.
Reasoning
Reasoning is where the agent evaluates possible actions.
This involves:
- Comparing alternatives
- Applying constraints
- Estimating risk
- Weighing confidence
Reasoning is bounded:
- By available context
- By system rules
- By governance policies
Good reasoning does not seek certainty. it seeks the safest next step.
Memory Consultation
Learning From the Past
Memory influences decisions by providing:
- Similar past cases
- Prior outcomes
- Known exceptions
- Organisational knowledge
Agents do not “remember everything”. They retrieve relevant memory intentionally.
Constraint
and Guardrail Evaluation
Before acting, the agent checks:
- Is this action allowed?
- Does this exceed authority?
- Is human approval required?
- Is confidence above threshold?
If constraints are violated:
- The agent defers
- Escalates
- Or chooses a safer alternative
This is where governance becomes active, not theoretical.
Intelligence Layer
Where Reasoning Happens
This layer includes:
- Language models
- Classifiers
- Rules engines
- Hybrid reasoning components
If constraints are violated:
- The agent defers
- Escalates
- Or chooses a safer alternative
This is where governance becomes active, not theoretical.
