- Sirisoft and Red Hat urge Thai enterprises to treat automation as foundational for AI-ready IT, not just a cost-cutting tool.
- The firms argue ROI must be redefined to include agility, risk reduction and faster innovation — not only immediate cost savings.
- Automation should cover provisioning, governance, security and observability to unlock AI investments.
Sirisoft & Red Hat champion automation for AI-ready IT
Why automation is being reframed
Sirisoft and Red Hat are calling on Thai enterprises to rethink how they approach automation. Rather than viewing automation solely as a method to trim operational costs, the two vendors say it must be treated as core infrastructure that enables organisations to deploy and scale artificial intelligence safely and effectively.
Automation as foundational infrastructure
According to the companies, automation provides the consistent, repeatable processes required for AI workloads — from provisioning compute and data pipelines to enforcing governance, security controls and observability. Without this underlying layer, AI initiatives risk unpredictable performance, compliance gaps and slower time-to-value.
Redefining ROI beyond immediate cost cuts
Sirisoft and Red Hat argue ROI calculations should expand beyond short-term cost reductions. Key returns include faster experimentation cycles, lower operational risk, improved compliance, and the ability to move from pilot to production more quickly. These benefits, they say, compound over time and are essential to capturing the full value of AI investments.
Practical areas to prioritise
Enterprises are advised to focus on several practical domains where automation delivers the biggest impact:
- Provisioning and orchestration — automate environment creation to remove human error and speed deployment.
- Security and governance — bake policies into automated workflows to maintain compliance as systems scale.
- Observability — ensure automated monitoring and alerting for production AI systems to detect drift and failures early.
- Operational runbooks — codify procedures so teams can reproduce fixes and workflows reliably.
Industry momentum and competitive risk
The push from Sirisoft and Red Hat mirrors a broader industry trend: organisations that invest in automation infrastructure are typically better positioned to capitalise on AI. For Thai enterprises, the message is clear — delay or underinvest at your peril. Competitors who automate foundational IT processes will be able to iterate faster, reduce costly mistakes and scale AI-driven initiatives sooner.
What leaders should do next
Executives should reassess their automation roadmap and budget with an eye toward long-term AI enablement. That means prioritising platforms and practices that deliver reproducibility, governance and secure scale — not just upfront savings. Partnering with experienced vendors and focusing on measurable outcomes will help unlock sustained ROI and reduce the risk of stalled AI projects.
While the transition requires investment and change management, Sirisoft and Red Hat contend that treating automation as core IT infrastructure is now a prerequisite for meaningful, lasting AI adoption.
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