Thales Sentinel-linked commentary: AI vendors urged to use usage intelligence for pricing, churn and roadmap decisions
This opinion and marketing-style piece argues that AI companies lack visibility into how customers use their software, and that usage intelligence should guide pricing, packaging, churn prevention and product roadmaps. It cites IDC research (48% of software buyers want better usage visibility, 45% prefer usage-based models) and Simon-Kucher research on frequent, data-informed pricing changes. It presents Thales Sentinel as a tool for collecting telemetry, including from on-premises and offline environments, and describes two vendor examples that moved to subscription tiers and execution-based trial licenses. The article describes no vulnerability, attack, threat actor or incident, and has no direct threat relevance for defenders.
Detalhes técnicos
- Usage intelligence layers described: instrumentation (telemetry, activation events, entitlements, feature-level data, DAU/MAU), operational (CRM dashboards, health scores), enforcement (contract compliance for consumption or token pricing) and a feedback loop to pricing, product and customer success.
- Telemetry design should favor aggregated over personal data to align with GDPR and the EU AI Act.
Linha do tempo
-
Thales Sentinel-linked commentary: AI vendors urged to use usage intelligence for pricing, churn and roadmap decisions
ler a análise desta fonte ocultar
This opinion and marketing-style piece argues that AI companies lack visibility into how customers use their software, and that usage intelligence should guide pricing, packaging, churn prevention and product roadmaps. It cites IDC research (48% of software buyers want better usage visibility, 45% prefer usage-based models) and Simon-Kucher research on frequent, data-informed pricing changes. It presents Thales Sentinel as a tool for collecting telemetry, including from on-premises and offline environments, and describes two vendor examples that moved to subscription tiers and execution-based trial licenses. The article describes no vulnerability, attack, threat actor or incident, and has no direct threat relevance for defenders.
Technical Details
- Usage intelligence layers described: instrumentation (telemetry, activation events, entitlements, feature-level data, DAU/MAU), operational (CRM dashboards, health scores), enforcement (contract compliance for consumption or token pricing) and a feedback loop to pricing, product and customer success.
- Telemetry design should favor aggregated over personal data to align with GDPR and the EU AI Act.