Innovation Case Study

Follow the Hiscox–Sutherland carrier playbook to turn AI into a sustainable competitive moat

This HFS innovation case study on the Hiscox–Sutherland carrier playbook is for commercial carrier COOs and operations leaders building AI-enabled service models across broker and direct distribution channels in P&C insurance.

Hiscox, a global specialist insurer with a significant presence in London, built an early lead in US small and medium business (SMB) insurance by offering small business insurance online and over the phone in real time, in addition to its broker channel, something rare in a broker-dominated market and an edge for the carrier.

To deepen that moat, Hiscox is leveraging its 15-year partnership with Sutherland to run a two-front, AI-powered channel optimization strategy. First, it is repositioning the direct consumer channel as a real-time customer feedback engine to continuously improve the customer experience. Handling significant interaction volume, the channel is converting that activity into structured customer insight that feeds product innovation. Second, it is digitizing the broker’s end-to-end journey, redesigning the workflow into an agentic AI-enabled quote-to-bind flow built for speed, growth, and relevance.

For commercial carrier COOs building AI-enabled operations, this case is a blueprint for execution. As enterprise carrier differentiation shifts to experience, growth is fundamentally won by redesigning workflows and decision-making across distribution channels, with AI as an optimization tool.

In our conversation with Laura McCamile, Hiscox’s SVP of Operations Delivery and Strategy, she described anchoring both initiatives around one North Star: capturing the true voice of the customer to evolve Hiscox’s service model.

Too often, people start with the technology and then try to find the business need. Our strength is starting with the business need and the outcomes we want to deliver, then working through people, process, and technology, not technology first.

— Laura McCamile, SVP of Operations Delivery and Strategy, Hiscox

Supercharge your direct consumer channel by transforming customer interaction into actionable intelligence that drives experience, growth, and a leaner cost-to-serve

Historically, some carriers have leaned toward one-size-fits-all product structures, prioritizing generalization over adaptability, as shown in Exhibit 1. The result can limit differentiation and ultimately constrain carriers’ ability to keep pace with their customers’ needs.

Exhibit 1: Outdated products, limited flexibility, and infrequent reviews are leaving commercial carriers exposed to disruption

Three-panel data visualization combining results from three survey questions to commercial insurers, plus three highlighted summary statistics. Question 1 ("How well will commercial insurance products, as they are designed today, address evolving risks five years from now?"): 30% address completely, 53% address somewhat, 17% won't address at all — yielding the headline that 70% of commercial insurance products are outdated. Question 2 ("How would you rate your organization's ability to offer flexible, customizable products for commercial P&C clients?"): 18% have a fully flexible, modular product suite, 45% offer some customization but primarily sell standardized products, 37% have rigid products with little room for customization — yielding the headline that 82% of commercial products are standard with limited differentiation. Question 3 ("How often does your organization revisit its product development process to adapt to new market realities?"): 46% regularly (annual or semi-annual), 36% occasionally (every few years), 15% rarely (only when absolutely necessary), 3% have not rethought their process in the past five years — yielding the headline that only 46% of commercial insurers regularly review their product portfolio. Sample: 350 commercial insurers from North America and Europe (including the UK). This represents industry-wide HFS research. Source: HFS Research, 2025.

Sample: 350 commercial insurers from North America and Europe (including the UK). This represents industry-wide HFS research.
Source: HFS Research, 2026

Hiscox integrates customer feedback into product design and uses customer intelligence to guide business decisions. Achieving this required thoughtful design and optimization of the inputs and data at hand, drawing on a channel with over one million voice interactions annually. By strengthening intent-based segmentation and introducing more effective triage, Hiscox unlocked the ability to route calls with greater precision and gain clearer visibility into routing efficiency and cancellation drivers.

The priority for us at Hiscox was spotlighting the true voice of the customer: what our customers need, what they value, what they’re asking for from a product perspective, and what they’re telling us about service and pricing. If you ruthlessly focus on your customer, the results will come.

— Laura McCamile, SVP of Operations Delivery and Strategy, Hiscox

Working with Sutherland, Hiscox is implementing an AI-enabled service model in the direct consumer channel: combining intelligent routing, virtual voice and chat assistants, and human support into a coordinated, end-to-end experience where AI and humans work together to generate collective customer intelligence, drive growth, and optimize cost-to-serve.

Make AI and humans work together to gain greater customer insights, achieve growth, and optimize cost-to-serve

A set of coordinated, sequenced moves across customer touchpoints followed:

  • Intent-based routing leveraging Sutherland Connect™: Leveraging Sutherland Connect™, an AI-powered customer engagement platform, Hiscox reworked the direct consumer channel’s voice-based customer interaction prompts and routing logic to ensure that each customer’s intent is directed to the right capability at the point of contact: sales and education versus service, claims versus complex billing, new product inquiries, or cancellation requests routed directly to retention handling.
  • Optimized digital journeys and handoffs: Building on Hiscox’s understanding of how customers naturally seek resolution, virtual assistant journeys were redesigned and more efficient handoffs to human advisors were enabled when escalation is required.
  • AI-driven interaction intelligence: As part of Hiscox’s focus on improving insights and performance, Sutherland’s CX360 AI™ platform was deployed on the telephony stack, turning calls into measurable insight and coaching levers by analyzing sentiment and automatically categorizing call drivers and topics.
  • Standardized call handling through decision-tree-enabled knowledge: Sutherland and Hiscox implemented AI™ within the channel, a structured knowledge platform that ingests existing call-handling documentation and standard procedures into an AI-enabled search and decision-tree framework, guiding advisors toward resolution.
  • Sutherland Voice AI™ in bounded use cases: Sutherland and Hiscox are embedding Voice AI™, a GenAI voice agent, directly into the direct consumer channel’s telephony platform. Triggered by the voice-based customer interaction intent, it completes defined interactions or transfers to an advisor by design or on request, with an initial focus on sales appetite and coverage inquiries and First Notice of Loss (FNOL).

Early results from the direct consumer channel transformation are already registering across the metrics that matter (customer experience, growth, and cost-to-serve) while also driving product innovation and marketing insights. The numbers are shown in Exhibit 2.

Exhibit 2: AI-driven outcomes across growth, cost-to-serve, and customer experience

Two-column results table reporting Hiscox's measured outcomes from the direct consumer channel transformation with Sutherland across five metrics. Quote to bind (conversion rate): +3%. Retention rates (customer retention): +6%. Channel deflection (effectiveness): +15% in chat volumes. Average handle time, AHT (productivity): -10%. Customer satisfaction score, CSAT (experience): +4%. Source: Sutherland and HFS Research, 2026.

Source: Sutherland and HFS Research, 2026

Make brokers’ day-to-day work easier by driving speed, efficiency, and sustained carrier relevance

From cyber threats to economic shifts and supply chain disruption, the scale and complexity of risks continue to grow. Against this backdrop, the broker’s role as a trusted risk advisor has never been more critical. In an increasingly digital world, data has become indispensable to timely, precise risk assessment, yet its sheer volume and diversity are expanding exponentially. The real challenge is not access to information, but the ability to convert it into actionable insight. In an HFS research survey of 100 brokers across North America and Bermuda, 94% agreed that real-time data and automation are critical to sustaining their long-term competitive advantage. As shown in Exhibit 3, this shift in broker initiatives closely aligns with the steps Hiscox is taking to support and enable brokers in their expanding advisory role.

Exhibit 3: Meet brokers where their ambitions are

Horizontal bar chart showing the primary focus of brokers' current or planned transformation initiatives across IT and operations, with each bar labeled by percentage of respondents. AI and analytics (underwriting, claims, customer insights): 50%. Core system modernization (policy / AMS replacement or consolidation): 32%. Automation of workflows and back-office processes (RPA, IDP, straight-through processing): 30%. Transforming the operating model (Global Business Services, shared services and centralized operations): 25%. Contact center modernization or CX transformation: 21%. Cloud migration and infrastructure modernization: 10%. Data standardization, integration and reporting (real-time, regulatory, bordereaux): 9%. Talent and skills modernization (training, digital workforce, managed services): 5%. New product / program launch factory: 4%. Claims transformation (automation, customer experience, leakage reduction): 4%. Digital distribution and producer enablement (portals, CRM, APIs): 4%. Compliance and regulatory readiness (cyber, solvency, ESG, reporting): 3%. Sample: 100 brokers across North America and Bermuda. This represents industry-wide HFS research. Source: HFS Research, 2026.

Sample: 100 brokers across North America and Bermuda. This represents industry-wide HFS research.
Source: HFS Research, 2026

With brokers sitting at the core of the Hiscox strategy, optimizing the end-to-end workflow was critical. As brokers increasingly strive to provide improved service to their customers, the case for a more structured, agentic AI-enabled approach grew, delivering evolved submission handling, underwriter data processing, spreadsheet-driven rating logic, and post-quote administration.

Eliminate speed-to-quote friction in the broker channel through agentic AI underwriter transformation

Brokers submit the same risk to multiple carriers, and underwriters must validate, price, and respond fast. To meet this demand, Hiscox, together with Sutherland, is optimizing the process and shifting the heavy lifting from manual preparation to faster decision-making and automated system updates back into policy administration, enabling underwriters to spend more time doing what they do best—underwriting.

The second lever is value, not just velocity. It includes a multi-quote capability that returns the requested quote (e.g., Professional Liability) and proactively proposes adjacent coverages (e.g., Cyber, General Liability) with bundled pricing, turning a transactional quote into a guided offer that reduces follow-up cycles and improves bind odds.

Early results show a 45% increase in submission-to-quote speed, with a projected 70% gain once rollout extends across all lines of business (see Exhibit 4).

Exhibit 4: Delivering on broker priorities with faster speed to quote

Two-column results table reporting Hiscox's measured outcome from the agentic AI underwriter transformation in the broker channel. Submission to quote (speed): +45% quote speed, rising to +70% post full rollout across all lines of business. Source: Sutherland and HFS Research, 2026.

Source: Sutherland and HFS Research, 2026

Lessons from Hiscox on achieving value realization through a disciplined AI approach to channel optimization

These are practical lessons for commercial carrier COOs looking to transform channel experience through AI enablement.

Lead transformation with realism

Hiscox is leading transformation with realism, ensuring ambition does not outpace operational capacity. Leadership is aligning change to what the organization could absorb, starting with customer and broker workshops that asked fundamental questions: Why would a customer engage? What does a broker need to accomplish? Only after clarifying real outcomes did they begin to optimize roles, simplify workflows, and layer in technology, deliberately following a people, process, technology sequence.
The takeaway: Disciplined sequencing starts with outcomes and capacity, not technology.

Senior leaders often hesitate because the tools still feel ‘taboo,’ they don’t fully grasp what’s practical now, and they don’t want to be the first movers (pioneers) who get it wrong. That hesitation creates an artificial gap between an approved idea and real execution.

— Laura McCamile, SVP of Operations Delivery and Strategy, Hiscox

Prioritize digital where you can and human where it matters

Digital is being applied where it creates efficiency, but human judgment remains central where empathy and nuance matter, especially in claims. In “human” moments, the right answer is sometimes less automation, not more.
The takeaway: Knowing where to automate and where to elevate human judgment is the mark of mature operations. Don’t replace empathy.

Scale through controlled experimentation and embedded governance

Hiscox is avoiding big-bang launches in favor of tightly scoped use cases. High-frequency, low-complexity transactions are tested through bounded minimum viable products (MVPs), paused, analyzed, refined, and scaled only then. Trust is earned through disciplined iteration, not headline moments. From day one, legal, compliance, business operations, data, and technology are co-architects, with AI integrity and ethics governance running in parallel.
The takeaway: Sustainable AI scale comes from controlled iteration with governance embedded from the start.

The Bottom Line: Hiscox, with Sutherland, exemplifies a disciplined path to value realization, where AI and people work together.

Anchored on a North Star, capturing the true voice of the customer, the difference was not the technology. It is how Hiscox pursues value realization within its own operational reality. It is identifying the behaviors behind outcomes, testing what changes them, and scaling only what works. The proof is in the early results: experience, growth, and a more efficient cost-to-serve in the direct consumer channel; speed, scale, and sustained carrier relevance in the broker channel.

For carrier COOs looking to move AI from the lab into the channels that drive growth, this is the blueprint not just for what to build, but for how to build it right.

If you ruthlessly chase and focus on your customer, the results will come.

— Laura McCamile, SVP of Operations Delivery and Strategy, Hiscox

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