Insights library
Understand the decision behind the technology.
Explore the context, compare approaches and work through the practical questions facing your IT team.
Data & AI · Decision guide
AI inference costs: compare the cost of a useful answer
A lower token price can still produce a higher cost per accepted task. This worked example compares model charges, retries and human review on the same basis.
Cybersecurity · Explainer
SSO, federation and provisioning: three different parts of the access journey
Understand what SSO, federation and provisioning each deliver, and why successful sign-in does not prove a complete identity integration.
Cybersecurity · Analysis
Supplier questionnaires leave the hardest resilience question unanswered
Use supplier questionnaires to identify where service-specific evidence, recovery arrangements and contractual commitments need a closer look.
Cloud & Infrastructure · Analysis
FinOps for AI: put the whole service behind the cost per outcome
A lower token bill can hide rising retrieval, evaluation and review costs. Build an AI service account around accepted outcomes and clear ownership.
Data & AI · Analysis
AI procurement: buy a change process as well as a feature
An AI feature can change after approval. Procurement needs clear ownership of model, data-use and feature changes throughout the supplier relationship.
Cybersecurity · Practical guide
Identity-provider outage readiness: test the route back into administration
Test whether administrators can reach credentials, runbooks and communications when normal identity fails, then prove the controlled return to service.
Cybersecurity · Practical guide
Supplier cyber assessments: put the deepest review where failure hurts
Scale supplier cyber assurance around access, sensitive data and operational dependency, with evidence and decisions proportionate to the risk.
Cloud & Infrastructure · Decision guide
Hybrid infrastructure costs: make the service boundaries match
Compare cloud, on-premises and hybrid options using the same workload, support, recovery and time horizon, then test the assumptions that change the result.
Data & AI · Practical guide
Monitor an AI service for the failures an uptime chart cannot show
Give an enterprise AI service separate signals for availability, answer quality, data freshness, harm and cost, with an owner for each response.
