Strategy & transformation6 MIN READ
Vendor-neutral does not mean anti-vendor
Neutral advice compares dependencies and evidence against the client's decision; it does not pretend every platform is interchangeable or that vendors add no value.
THE SOFTLANDER BLOG
Architecture & engineering
Designing the system around the model: orchestration, memory, context, tools, observability and recovery.
In Architecture & engineering
47 articlesAgent security6 MIN READ
Sandboxing and authorisation solve different problems
A sandbox limits what compromised execution can reach. Authorisation decides what an authenticated actor may do. Secure agents need both, tested independently and together.
Architecture & engineering6 MIN READ
Idempotency for AI agents: preventing one instruction from becoming three actions
Retries, duplicated messages and uncertain tool outcomes can multiply an agent’s effects. Idempotency turns a logical action into one controlled business operation.
Evaluation & assurance6 MIN READ
How should we evaluate an agent that works for days rather than minutes?
Long-running agents accumulate state, dependencies and chances to drift. Evaluation must test checkpoints, recovery, changing conditions and complete outcomes across time.
Governance & privacy6 MIN READ
Autonomy is a spectrum of actions, not a product label
Describe autonomy operation by operation. A multidimensional action map gives leaders a better basis for limits, oversight and release evidence than one marketing label.
Governance & privacy7 MIN READ
Data minimisation for agents that always want more context
Better agent context is not the largest possible context. It is the smallest authorised, relevant and timely data set that supports the task.
Governance & 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.
Agent security6 MIN READ
Prompt injection is a workflow-security problem
Prompt injection becomes consequential when untrusted content can steer a model towards privileged tools. Reduce the blast radius by redesigning the workflow around trust and authority.
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.
KEEP EXPLORING
Take the thinking
into your next discussion.
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.