Guest Post
How Cyferd Made Voult Possible – And Why That Matters for Insurance

Rich Boyd
Managing Director at Voult
I’ve worked in tech since the early days of the mobile revolution, and I’ve seen my fair share of hype. But every so often, something comes along that lives up to it. That’s what happened when I encountered Cyferd.
I came into the insurance world through the Blueprint Two programme at Lloyd’s of London. It was an ambitious transformation initiative, and I was immediately drawn to the scale of the challenge. As someone from Christchurch, New Zealand, a city that was devastated by earthquakes, I’d seen first-hand the critical role insurance plays in rebuilding lives and communities. Discovering how Lloyd’s had helped fund Christchurch’s recovery gave my work a personal connection. This wasn’t just tech transformation. It mattered.
During my time at Lloyd’s, I led the design of the future claims experience and launched a real-time claims payments product in partnership with LIMOSS and Vitesse. But something was missing. Payments were only one half of the equation; what we really needed was a data product that could evolve how bordereaux (BDX) were managed. The industry was drowning in spreadsheets, and we needed a path towards structured API submissions.
Fast forward to when I left Lloyd’s. I was approached by the team at Cyferd. Incredibly, they’d already built half the product I’d drawn on a whiteboard for 3 years, and they’d done it in under three months.
That speed alone was astonishing. But it wasn’t just speed that impressed me. Cyferd is a cloud-native, API-first platform that unifies data, workflow, and automation with an agentic AI layer and an AI development engine called Neural Genesis. What that means in practice is that you can build, and more importantly, evolve enterprise-grade products faster than ever before.
So we built Voult on Cyferd.
Voult is a SaaS platform dedicated to improving the delegated authority process across the insurance sector. We’re here to help brokers, DCAs, MGAs, and carriers move faster, become more resilient, and scale without adding overhead. Cyferd’s technology lets us do that. We’ve gone from idea to production-ready platform in record time, and every time a client gives us feedback, we can respond with new features in days, not months.
If you’re a transformation leader or entrepreneur, you’ll know how hard it is to turn ideas into reality quickly. But the Cyferd platform is built for exactly that. It gives us the foundations to focus on customers, not plumbing. And it gives you the speed, flexibility, and automation to make meaningful change.
Insurance deserves better tech. At Voult, we’re using Cyferd to deliver it.
Find out more About Cyferd
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Americas Tower
1177 6th Avenue
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New York
NY 10036
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London W1J 6BD
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Comparisons
BOAT Platform Comparison 2026
Timelines and pricing vary significantly based on scope, governance, and integration complexity.
What Is a BOAT Platform?
Business Orchestration and Automation Technology (BOAT) platforms coordinate end-to-end workflows across teams, systems, and decisions.
Unlike RPA, BPM, or point automation tools, BOAT platforms:
- Orchestrate cross-functional processes
- Integrate operational systems and data
- Embed AI-driven decision-making directly into workflows
BOAT platforms focus on how work flows across the enterprise, not just how individual tasks are automated.
Why Many Automation Initiatives Fail
Most automation programs fail due to architectural fragmentation, not poor tools.
Common challenges include:
- Siloed workflows optimised locally, not end-to-end
- Data spread across disconnected platforms
- AI added after processes are already fixed
- High coordination overhead between tools
BOAT platforms address this by aligning orchestration, automation, data, and AI within a single operational model, improving ROI and adaptability.
Enterprise BOAT Platform Comparison
Appian
Strengths
Well established in regulated industries, strong compliance, governance, and BPMN/DMN modeling. Mature partner ecosystem and support for low-code and professional development.
Considerations
9–18 month implementations, often supported by professional services. Adapting processes post-deployment can be slower in dynamic environments.
Best for
BPM-led organizations with formal governance and regulatory requirements.
Questions to ask Appian:
- How can we accelerate time to production while maintaining governance and compliance?
- What is the balance between professional services and internal capability building?
- How flexible is the platform when processes evolve unexpectedly?
Cyferd
Strengths
Built on a single, unified architecture combining workflow, automation, data, and AI. Reduces coordination overhead and enables true end-to-end orchestration. Embedded AI and automation support incremental modernization without locking decisions early. Transparent pricing and faster deployment cycles.
Considerations
Smaller ecosystem than legacy platforms; integration catalog continues to grow. Benefits from clear business ownership and process clarity.
Best for
Organizations reducing tool sprawl, modernizing incrementally, and maintaining flexibility as systems and processes evolve.
Questions to ask Cyferd:
- How does your integration catalog align with our existing systems and workflows?
- What is the typical timeline from engagement to production for an organization of our size and complexity?
- How do you support scaling adoption across multiple business units or geographies?
IBM Automation Suite
Strengths
Extensive automation and AI capabilities, strong hybrid and mainframe support, enterprise-grade security, deep architectural expertise.
Considerations
Multiple product components increase coordination effort. Planning phases can extend time to value; total cost includes licenses and services.
Best for
Global enterprises with complex hybrid infrastructure and deep IBM investments.
Questions to ask IBM:
- How do the Cloud Pak components work together for end-to-end orchestration?
- What is the recommended approach for phasing implementation to accelerate time to value?
- What internal skills or external support are needed to scale the platform?
Microsoft Power Platform
Strengths
Integrates deeply with Microsoft 365, Teams, Dynamics, and Azure. Supports citizen and professional developers, large connector ecosystem.
Considerations
Capabilities spread across tools, requiring strong governance. Consumption-based pricing can be hard to forecast; visibility consolidation may require additional tools.
Best for
Microsoft-centric organizations seeking self-service automation aligned with Azure.
Questions to ask Microsoft:
- How should Power Platform deployments be governed across multiple business units?
- What is the typical cost trajectory as usage scales enterprise-wide?
- How do you handle integration with legacy or third-party systems?
Pega
Strengths
Advanced decisioning, case management, multi-channel orchestration. Strong adoption in financial services and healthcare; AI frameworks for next-best-action.
Considerations
Requires certified practitioners, long-term investment, premium pricing, and ongoing specialist involvement.
Best for
Organizations where decisioning and complex case orchestration are strategic differentiators.
Questions to ask Pega:
- How do you balance decisioning depth with deployment speed?
- What internal capabilities are needed to maintain and scale the platform?
- How does licensing scale as adoption grows across business units?
ServiceNow
Strengths
Mature ITSM and ITOM foundation, strong audit and compliance capabilities. Expanding into HR, operations, and customer workflows.
Considerations
Configuration-first approach can limit rapid experimentation; licensing scales with usage; upgrades require structured testing. Often seen as IT-centric.
Best for
Enterprises prioritizing standardization, governance, and IT service management integration.
Questions to ask ServiceNow:
- How do you support rapid prototyping for business-led initiatives?
- What is the typical timeline from concept to production for cross-functional workflows?
- How do licensing costs evolve as platform adoption scales globally?
