Why underwriting orchestration is the foundation for the AI era

Underwriting technology has continued to produce better tools. The next challenge is making them work together.

The rise of generative AI, agentic AI, digital broker ecosystems, and increasingly complex trading models is creating a new challenge: insurers need more than a place to manage underwriting activity. They need an operating layer that can coordinate the systems, data, decisions, and AI capabilities that power modern risk selection. That operating layer is the underwriting orchestration engine.

InsTech's new report in partnership with Send, “Underwriting orchestration engines: Equipping insurers for the AI age,” explores why orchestration matters now, how it works in practice and what insurers need to consider as they build their AI-ready underwriting operating model.

The next evolution of underwriting technology

The workbench transformed underwriting by creating a shared environment for teams. It reduced friction, improved visibility, and introduced more consistent processes. An orchestration engine builds on that foundation but solves a different problem.

Rather than simply bringing information together, orchestration connects the entire underwriting ecosystem: submissions, documents, data sources, pricing tools, risk appetite, workflows, broker channels, AI models, and governance controls.

The result is a more connected underwriting environment where work can be automatically routed, decisions can be supported with better information, and AI can be introduced safely into everyday processes.

For insurers, this creates the ability to:

• Automatically triage submissions against appetite and business rules
• Connect internal systems and external data sources
• Apply AI tools without rebuilding underwriting workflows
• Maintain human oversight where judgement is required
• Create stronger auditability and governance around automated decisions

The results from early adopters are positive. Chubb cut submission processing time from three weeks to three days. Bowhead Specialty reduced the time to launch a new product from three months to four weeks. Oak Global wrote $400 million in GWP in its first year of trading.

Why orchestration matters now

Specialty and commercial insurers are facing pressure from multiple directions: a softening market, rising broker expectations, increasing competition and the need to improve efficiency without compromising underwriting quality. In the US, direct E&S premiums rose more than 7% year-on-year in 2025 to over $105 billion, and competition is intensifying around speed of response.

At the same time, brokers are accelerating their own digital transformation. More structured data flows and faster quote expectations are changing how insurers need to interact with distribution partners.

Traditional document-led processes struggle in this environment. Submissions still arrive through emails, PDFs, spreadsheets and portals, and data remains fragmented across systems.

Orchestration addresses this by turning fragmented inputs into a controlled underwriting process.

It creates a foundation where insurers can route straightforward risks towards automation, direct complex risks to expert review and ensure every submission follows the right process.

AI needs orchestration to deliver real underwriting value

Many insurers are experimenting with AI. The challenge is moving beyond individual use cases and embedding AI into production environments safely.

AI models will continue to evolve, and the tools insurers use today may not be the tools they rely on in the future. An orchestration engine provides the flexibility to adapt.

By separating AI capabilities from core underwriting workflows, insurers can introduce new models, agents and technologies without redesigning their entire platform. Chubb has told investors its AI initiative will improve its combined ratio by around 1.5 percentage points, through a transformation that automates around 85% of major underwriting and claims processes – the kind of result that depends on this architectural freedom.

Building the business case

The strongest case for orchestration is not automation alone. The value comes from improving measurable business outcomes.

We grouped the value drivers into four areas – growth, improving combined ratio, managing risk, and talent – and mapped each to the operating metrics insurers can track, from submission-to-quote ratio to time-to-proficiency for new underwriters.

A successful orchestration strategy starts by identifying the business outcome that matters most and connecting technology investment to measurable improvements.

Where to start

Successful implementations depend on clear business ownership, defined use cases, and strong governance.

The most effective approaches typically start with a focused area of underwriting where value can be measured quickly. This might include submission intake, referral management, renewal processes or a specific line of business. Distinguished went live with its reinsurance platform in six weeks by keeping scope controlled and requirements clear from the outset.

From there, insurers can expand orchestration across the wider underwriting lifecycle.

The report also warns against the toolkit trap: assembling point solutions and low-code components and expecting them to behave like a coherent orchestration engine. That path creates a new layer of legacy technology, with each component needing separate maintenance, integration and governance.

Governance is equally important. As AI becomes more embedded in underwriting, insurers need confidence that decisions are explainable, auditable and aligned with regulatory expectations.

An orchestration engine provides the control layer where insurers can manage:

• AI oversight and human approval points
• Business rules and appetite controls
• Audit trails of decisions and actions
• Data access and security controls
• Monitoring of performance and model behaviour

The future of underwriting is connected and controlled

The insurers that succeed in the AI age will be those that combine technology with underwriting expertise: using automation to remove friction, AI to enhance decision-making and orchestration to connect the entire operating model.

Workbenches helped insurers modernise underwriting. Orchestration engines will help them scale it.

Send's orchestration engine sits behind many of the results in this report. Download the full report “Underwriting orchestration engines: Equipping insurers for the AI age” to learn more.