Governance & privacy7 MIN READ
How to build an evidence register for an AI system
An evidence register should connect each claim and requirement to versioned artefacts, review decisions, known gaps and the conditions under which evidence expires.
THE SOFTLANDER BLOG
Evaluation & assurance
How to define, produce and maintain evidence that an agentic system behaves as intended across its scope.
In Evaluation & assurance
44 articlesGovernance & privacy6 MIN READ
What changes when an AI agent can modify itself?
Self-modification turns runtime learning into controlled software change. Separate what may adapt, require evidence for promotion and preserve a recoverable baseline.
Evaluation & assurance6 MIN READ
Testing logistics agents under disruption
A logistics agent earns trust when data becomes late, routes close and plans conflict—not when everything follows the timetable.
Evaluation & assurance6 MIN READ
How to test whether an AI agent recovers gracefully
Inject realistic faults, verify state and judge the recovery path. A retry that finishes the task can still duplicate work or hide uncertainty.
Governance & privacy6 MIN READ
Healthcare administrative agents: useful workflows with strict boundaries
Administrative agents can reduce coordination work, but clinical meaning and patient access can enter the workflow sooner than the label suggests.
Governance & privacy7 MIN READ
Turning AI governance principles into executable controls
A principle becomes operational only when it is translated into requirements, control owners, enforcement points, evidence and responses to failure.
Architecture & engineering6 MIN READ
The foundation model is only one dependency in an agentic system
Model selection matters, but production behaviour emerges from an entire dependency graph. Review the system that turns model output into business effects.
Evaluation & assurance6 MIN READ
Why financial-services agents require more than model testing
Financial agents combine models, data, tools, people and third parties, so assurance has to follow the complete regulated workflow.
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Take the thinking
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Read the method, assumptions and questions to ask.
A little more clarity
Questions worth asking.
Start with the questions that shape a better decision.
Which enterprise agent questions does the Softlander blog examine?
The blog examines where agents create business value, how teams define release evidence, how authority and tool access should be bounded, and how engineering, security and governance owners can make a shared decision.
Who are the articles written for?
They are written for product, engineering, AI platform, security, governance and transformation leaders responsible for moving an agent workflow from idea or pilot towards accountable operation.
How do the articles relate to Softlander’s services?
Articles explain the problems and decision methods behind the consultancy’s service direction. They are educational material and do not replace a scoped review of an organisation’s actual system.