Frequently Asked Questions Data, Fabric & AI for Reinsurers

Bespoke Analytics is a Bermuda-based Business Intelligence and data consulting firm with over 20 years of experience serving mid-sized financial, insurance, and reinsurance organisations. We specialise in data integration, data governance, strategic forecasting, and Microsoft Fabric implementation, with direct expertise in BMA and CIMA regulatory environments. Our clients include Chubb, Butterfield, Starr, and Conduit.

Since 2004, making us one of the longest-standing independent data and BI consultancies in the market. That two-decade track record means we understand how reporting requirements, data volumes, and regulatory complexity have evolved for Bermuda reinsurers specifically, not in general terms.

Yes. We serve both the Bermuda and Cayman Islands reinsurance markets. Our team has specific experience with CIMA regulatory requirements and the operational structures common to Cayman-domiciled reinsurance entities. If your firm operates across both jurisdictions, we address the reporting and governance requirements of each.

Three differences that matter for Bermuda and Cayman clients. First, we are based in your market with 20-plus years of direct experience in the regulatory and operational context you work in. Second, we are a hands-on delivery partner, not a framework-and-slide-deck consultancy. Third, our engagements are fixed-scope and fixed-price. The same senior team that scopes your project delivers it.

Yes, and that is typically the most effective model. We work alongside your Finance, IT, and Actuarial leads, providing the specialised data architecture and platform expertise most reinsurance teams do not carry in-house. Your team retains ownership of the outputs, and knowledge transfer is built into every engagement.

Microsoft Fabric is a unified data platform that consolidates data engineering, analytics, and reporting into one governed environment. For reinsurance firms, the practical value is significant: it replaces the fragmented combination of spreadsheets, separate databases, and manual data pulls that currently drives quarterly reporting cycles. When BMA requests enhanced BSCR reporting and your data sits in five disconnected systems, Fabric closes that gap, provided it is implemented with proper governance.

Implementation timelines vary based on data complexity and system count. Our Fabric Readiness Sprint defines your specific roadmap before any commitment is made. Most reinsurance clients see their first production workloads live within 90 days of sprint completion, with phased adoption designed to keep operational disruption manageable throughout.

Most Fabric projects stall because teams skip architectural validation, underestimate integration complexity, or attempt a full migration without a phased plan. Our assessments routinely surface 8 to 12 integration issues clients had not identified before signing implementation contracts. A structured readiness assessment resolves these before they become expensive mid-project discoveries.

Defensible Data means your analytics output is traceable, documented, and reproducible, so that when regulators ask and auditors dig in, you can stand behind every number. For Bermuda reinsurers operating under BMA oversight, this is operationally necessary. A properly implemented Fabric environment builds audit trails, data lineage, and access controls directly into the architecture from day one.

We implement Microsoft Fabric, Microsoft Power BI, and TimeXtender. We are a certified partner for each platform and select the appropriate stack based on your existing systems, reporting requirements, and regulatory context. In many cases, the right answer is a combination of platforms working together rather than a single-vendor approach.

Three deliverables in two weeks. Business Case: Board-ready justification with cost parameters, expected ROI timeline, and resource requirements structured for capital allocation review. Risk Register: Documented technical risks, integration considerations, architecture compatibility assessment, and mitigation strategies. Surfaces issues before your team is mid-project. 90-Day Roadmap: A phased implementation plan with milestones, dependencies, and decision points. You keep all deliverables regardless of next steps.

Approximately 10 to 15 hours across two weeks. That typically means 3 to 4 hours each from your Finance lead and IT/Data lead, plus brief interviews with 2 to 3 additional stakeholders. Day-to-day operations continue uninterrupted. We schedule around your reporting cycle and quarterly close.

It is a fixed-price engagement. Pricing is confirmed in an initial 30-minute scoping call, which carries no obligation. Fixed scope and fixed price means no billing surprises, regardless of what the discovery process surfaces.

The Readiness Sprint is a pre-implementation decision tool, not a build. It gives your leadership team everything needed to make a confident go/no-go decision on Fabric, without committing implementation budget first. Clients typically report cutting their internal evaluation time by 60% or more compared to running the same assessment internally.

It is designed for three types of buyers. CFOs who need board-ready justification and budget parameters before signing anything. CIOs who need to validate architecture fit and integration requirements before their team is committed. COOs whose teams are already stretched and cannot afford months of distraction from a poorly scoped project.

A four-week, bounded engagement where we implement one controlled AI use case within your data environment. Every pilot includes a clearly defined single use case, bounded data access, human-in-the-loop oversight, and a documented governance approach your compliance and audit teams can review. It is designed specifically for risk-conscious organisations in regulated markets where audit trails are non-negotiable.

Yes, but context matters. AI applied to clearly defined, well-governed tasks, such as automated data validation, variance flagging, or report generation from structured data, produces measurable ROI with manageable risk. The problem is not AI itself. It is ungoverned AI operating on poorly documented data without audit trails. Our Governed AI Pilot is built on the principle that the first use case should be boring, bounded, and provably accurate before anything more ambitious is attempted.

Our governance approach starts with the data foundation, not the AI model. Before any AI tool is introduced, we validate that the underlying data is accurate, traceable, and access-controlled. The AI layer is then applied to a single documented use case with human review at each output stage. Every pilot produces a governance document specifying data sources, model behaviour, output validation steps, and escalation paths.

A four-week, bounded engagement where we implement one controlled AI use case within your data environment. Every pilot includes a clearly defined single use case, bounded data access, human-in-the-loop oversight, and a documented governance approach your compliance and audit teams can review. It is designed specifically for risk-conscious organisations in regulated markets where audit trails are non-negotiable.

The Governed AI Pilot is a proof-of-value engagement, not a production build. It answers one question: can AI produce accurate, auditable outputs from your specific data environment? If the answer is yes, you have the evidence to justify a broader investment. If the answer is no, you have found out in four weeks rather than four months.

Our team has direct, hands-on experience with BSCR reporting, EBS valuations, and CIMA governance requirements. Unlike generic consulting frameworks, our data architecture work accounts for treaty structures, retrocession complexity, and the specific audit trail expectations of Bermuda and Cayman regulators. Ask us about your regulatory environment and you will get specific, experienced answers, not generic frameworks applied from another market.

Yes. Quarterly reporting fire drills, where data spread across disconnected systems consumes weeks of senior finance and actuarial time, are one of the most common problems we solve. A properly implemented Fabric environment consolidates data sources, applies consistent governance rules, and produces accurate, audit-ready BSCR outputs significantly faster than manual processes.

This is precisely why our implementation approach is phased rather than big-bang. A well-architected Fabric environment with a documented data model is significantly easier to adapt to new regulatory requirements than a tightly coupled legacy system. Our 90-day roadmaps include decision points at each phase so that new requirements can be incorporated without restarting the entire build.

Yes. BMA and CIMA have meaningfully different frameworks and reporting expectations. Our team has worked directly within both regulatory contexts and does not apply a one-size approach across jurisdictions. If your firm operates in both markets, we address each regulatory environment on its own terms.

Being able to answer three questions at any time: Where does this number come from? Who has access to it? Has it changed since last quarter? For reinsurance firms, good governance means your treaty data, exposure data, and financial results flow through documented, access-controlled pipelines with clear data lineage. When an auditor asks how a figure was produced, the answer is a documented process, not a phone call to the analyst who built the spreadsheet.

Security is built into our architecture recommendations from the start, not added as an afterthought. Within a Microsoft Fabric environment, this includes role-based access controls at the workspace, item, and row level, documented data classification, and access audit logs. For reinsurance firms, we specifically address the sensitivity of treaty terms, cedant data, and actuarial assumptions in our access control design.

TimeXtender is a data integration and automation platform that accelerates the build of data warehouses and data models by generating documented, governed pipelines with significantly less manual coding. For reinsurance firms with complex source systems and strict documentation requirements, TimeXtender reduces implementation time and produces the data lineage documentation that auditors expect. We deploy it alongside Microsoft Fabric and Power BI based on your specific requirements.

A structured conversation, typically 45 to 60 minutes, reviewing your current data sources, reporting workflows, and known pain points. You receive a plain-language assessment of where your data structure is working, where it is creating risk, and what a practical improvement path looks like. There is no obligation to proceed with any paid engagement.