The Great AI Dilemma: Should Insurers Wait for Systems of Record or Orchestrate Now?
Insurers are under increasing pressure to reduce cost to serve, accelerate claims resolution, and improve customer experience—while operating on decades-old core systems. At the same time, AI is redefining what “good” looks like across underwriting, claims, and customer engagement.
The question is no longer if AI will transform insurance, but how quickly insurers can operationalize it. Should insurers wait for their core providers to embed AI, or act now?
The answer is clear: don’t wait.
Leading insurers are already achieving 30–50% productivity gains and up to 80–90% straight-through processing (STP) by deploying OCTO—the AI orchestration platform built for regulated industries—to integrate AI safely into their business processes without replacing core systems.
The Risk of Waiting: Innovation Lag Becomes Business Risk
Relying solely on Systems of Record (SoR) providers for AI capabilities creates a fundamental bottleneck—the innovation lag.
Core platforms are engineered for stability, compliance, and transactional integrity. Their role is to protect the business, not to rapidly evolve. As a result, insurers who wait for AI to be delivered “out of the box” effectively outsource their innovation roadmap, delaying progress by years.
This is not just a technology issue—it is a business risk. Innovation lag translates directly into higher operating costs, slower customer response times, and erosion of competitive position.
In practice, Systems of Record act as the enterprise’s control layer—the boundary that enforces governance and consistency. Introducing fast-evolving AI directly into this layer creates tension. It risks undermining stability while stripping away one of AI’s greatest advantages: flexibility.
AI must remain adaptable—not only because the technology is advancing rapidly, but because business processes themselves are constantly evolving. Embedding AI into core systems slows both, increasing the cost of change and limiting long-term value.
The Shift to AI Orchestration: A New Operating Model
The most successful insurers are adopting a new operating model—one that separates control from intelligence. They retain Systems of Record as the backbone of compliance and transaction integrity, while deploying OCTO as a System of Intelligence to orchestrate AI, people, and processes across the enterprise. This model delivers three critical advantages:
Unifies the Enterprise: OCTO connects fragmented environments—legacy platforms, core systems, cloud services, and external data—creating a unified process layer without requiring core replacement.
Scales AI Safely: Rather than relying on a single model, OCTO orchestrates multiple AI services (including Azure AI and document intelligence), applying governance, guardrails, and auditability at every step—critical for regulated industries.
Delivers Outcomes, Not Tasks: OCTO orchestrates complete, end-to-end processes—from ingestion to decision to action—embedding human expertise where it adds value and automating everything else.
From Rules-Based to Intelligence-Driven Workflows
Traditional Systems of Record operate on rule-based logic—if X happens, then do Y. They are highly effective for structured, repeatable transactions, but are inherently limited when faced with unstructured, complex, or ambiguous data.
AI introduces a fundamentally different paradigm: intelligent, context-aware reasoning. This is the shift from processing transactions to making decisions.
With OCTO orchestrating AI into workflows, insurers can interpret and extract meaning from unstructured documents such as claims, medical reports, and policy wording; analyze images to detect anomalies or potential fraud; summarize and compare information to accelerate decision-making; and apply contextual reasoning across multiple data sources.
Crucially, OCTO does not remove humans—it elevates them. Human-in-the-loop capabilities present experts with consolidated, summarised insights in a single, optimized interface, enabling faster, more confident decisions on exceptions and high-risk cases.
In this model, OCTO acts as the System of Reasoning, transforming complex inputs into validated, structured outputs that are fed back into Systems of Record—preserving integrity while unlocking intelligence.
AI-Native Process Design: Unlocking Step-Change Performance
To unlock real value, insurers must move beyond simply digitizing existing processes.
OCTO enables AI-native process design—where workflows are built around what AI can do, rather than constrained by legacy system limitations. This shifts operations from labour-driven scaling to intelligence-driven scaling.
By removing unnecessary handoffs, designing for high levels of Straight-Through Processing, and embedding human expertise only where judgment is required, insurers can achieve a step change in performance. The result is faster claims settlement, more efficient underwriting, improved employee productivity, and a significantly enhanced customer experience.
The Future Operating Model for Insurance
The goal is not to replace Systems of Record—they remain the financial and regulatory backbone of the enterprise. The goal is to activate them.
The winning insurers are adopting a layered operating model:
Systems of Record (SoR) → accuracy, compliance, transaction integrity
OCTO (System of Intelligence) → orchestration, AI, workflow, governance
This is not just a technology architecture—it is a new way of operating. It enables incremental modernisation, rapid deployment of AI use cases, and continuous improvement without disrupting core systems.
The Time to Orchestrate is Now
AI is already reshaping the insurance industry. The question is no longer whether it will have an impact, but who will operationalize it fastest, safest, and at scale.
The insurers leading today are not waiting for their core systems to evolve. They are orchestrating AI across their enterprise.
Ready to see how OCTO orchestrates AI into your insurance processes? Book a demo.
