“Sirion Accelerates Global CLM Modernization on Oracle Cloud Infrastructure”
In an era where digital agility and AI-driven insights define enterprise success, Sirion has embarked on a comprehensive modernization of its Contract Lifecycle Management (CLM) platform. Leveraging Oracle Cloud Infrastructure (OCI), the company has not only accelerated global deployments and enhanced analytics performance but also strengthened compliance, security, and customer experience across more than 70 countries.
In this exclusive discussion with Rajeev Ranjan, Editor, Digital Terminal, Aditya Gupta, CTO of Sirion, shares how OCI has empowered the organization to scale AI workloads, optimize operations, and deliver real-time, data-driven insights that redefine enterprise contract management.
Rajeev: What were the key objectives behind your digital modernization journey, and how did these align with Sirion’s broader business goals?
Aditya: Our modernization initiative was anchored around three measurable outcomes:
Faster global releases to shorten deployment cycles and improve agility.
Lower analytics latency to enhance responsiveness of AI-driven contract intelligence during peak workloads.
Consistent compliance across 70+ country deployments to meet data-sovereignty and audit standards.
Oracle Cloud Infrastructure (OCI) was chosen for its global reach, built-in security, and cost-efficient performance.
Rajeev: Before adopting Oracle Cloud Infrastructure, what were the major challenges Sirion faced in data security, analytics performance, and system scalability?
Aditya: As our customer base and AI workloads expanded rapidly, we encountered three critical challenges:
Latency variance during AI inference at scale.
Region-specific data residency requirements in multi-tenant SaaS deployments.
Operational overhead in maintaining uniform performance across quarterly releases.
OCI addressed these by providing bare-metal performance for consistently low latency, region-level data-residency controls, and a unified security model with encryption at rest and in transit — supported by customer-managed keys (CMK) for compliance and control.
Importantly, OCI also provided access to the latest GPU and generative AI hardware within key regions, allowing Sirion to host advanced AI workloads closer to customers, reducing inference latency and increasing throughput.
Access to this next-generation infrastructure has also accelerated the pace of innovation at Sirion, removing prior hardware capacity limits and enabling our R&D teams to experiment, iterate, and deploy new AI features far more rapidly.
Rajeev: How has Oracle Cloud Infrastructure enhanced deployment speed, cost efficiency, and client experience globally?
Aditya: By re-architecting our deployment pipeline on OCI, Sirion standardized and automated releases across all environments.
Key results:
Deployment speed: global rollouts accelerated through OCI-integrated CI/CD pipelines and observability tools.
Cost efficiency: autoscaling clusters and flexible compute options minimized idle capacity, lowering cost per processed contract.
Customer experience: sub-200ms p95 response times and zero-downtime feature updates ensured uninterrupted productivity for enterprise users.
These combined gains have delivered a faster, smoother, and more reliable experience for Sirion’s customers worldwide.
Rajeev: Data-driven insights are core to Sirion’s value proposition. How has Oracle’s AI and cloud ecosystem empowered real-time analytics for your customers?
Aditya: Sirion’s multi-model, agentic AI architecture blends domain-specific contract models with large language models (LLMs) hosted on OCI to deliver explainable, data-driven insights.
Data layer: OCI’s data services ensure secure ingestion, lineage, and feature storage for millions of contracts.
AI layer: OCI Generative AI services support fine-tuning of LLMs for issue detection, clause deviation, and redlining — all with explainability and governance.
User layer: AI agents — such as Extraction, Issue Detection, and Redline — produce insights aligned with each customer’s playbook, ensuring transparency and trust.
Together, OCI’s scalable AI stack and Sirion’s architecture enable real-time, explainable intelligence across the contract lifecycle.
Rajeev: How have Oracle’s security capabilities strengthened Sirion’s data-protection and governance framework?
Aditya: Security and trust are the foundation of the Sirion platform. OCI enhances these pillars through a layered, automated, and auditable model:
Data protection: AES-256 encryption for data and backups, and TLS 1.2+ for all transmissions.
Key management: CMK via OCI KMS for granular customer control.
Governance: fine-grained RBAC and tenancy isolation for regulated workloads.
Automation: OCI’s managed security services streamline patching, threat detection, and compliance reporting.
The result is an AI-driven CLM platform where enterprise-grade security meets continuous innovation.
Rajeev: Looking ahead, how will Oracle’s AI and cloud innovations shape the next phase of Sirion’s roadmap?
Aditya: Sirion and Oracle are extending their collaboration in two key areas:
Deeper ERP integration: expanding native Oracle ERP connectivity through Oracle Integration Cloud, seamlessly synchronizing supplier and contract data.
Scalable AI hosting: leveraging OCI Generative AI dedicated clusters for secure fine-tuning of customer-specific playbooks, with built-in retrieval, versioning, and explainability.
These advances will further strengthen Sirion’s vision of AI-native contract lifecycle management that is transparent, compliant, and scalable for global enterprises.
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