Governed AI Adoption
Without the Audit Anxiety
Defensible Data.
AI you can stand behind when regulators ask, auditors dig in, and the board asks who is accountable.
Pilot one governed AI use case in four weeks.
Built on TimeXtender's Control Layer for AI-Ready Data, deployed inside your tenant, with full metadata, lineage, and zero retention.
Fixed scope. Fixed price. No vendor lock-in.
Fixed scope. Fixed price. No surprises.
The Problem
AI Is Inevitable. Ungoverned AI Is a Regulator Problem Waiting to Happen.
When the board asks about AI, IT runs a demo, the CRO files a model risk concern, and the CFO asks who is paying. Six months later you have a copilot pilot, no clear safety case, and a BMA examiner asking where the model's answer came from.
The data sits in five disconnected systems.
Definitions vary across teams.
Outputs cannot be reproduced.
The same use case that looked promising in a vendor demo cannot be defended in a regulatory review.
The question is not whether to use AI.
It is whether your first AI use case is one you can defend to regulators, boards, and auditors.
We call it Defensible Data.
The Solution
The Governed AI Pilot.
One Use Case.
Four Weeks.
Audit-Ready.
In four weeks, you pilot one high-value AI use case on a governed data foundation, with everything you need to make a confident scale-or-stop decision. Built on TimeXtender's Control Layer for AI-Ready Data.
1. Use Case
We work with your CRO, CFO, and operations leads to select one AI use case where the value is real and the risk is governable.
You leave the discovery week with a board-ready justification, a costed business case, and a clear yes or no on each candidate use case.
Use case scoring is structured against the BMA Insurance Code of Conduct and the CIMA Statement of Guidance on Outsourcing for Regulated Entities, with model and data risk treated as a single review.
2. Governed Data Product
We build a working data product in your tenant, on Microsoft Fabric, Azure, SQL Server, Snowflake, or AWS. Metadata-driven, deterministic, with lineage and quality controls. Zero retention by design, your data never leaves your environment.
Includes a governed semantic layer, so AI answers ground in your definitions, not a vendor's defaults.
3. Safety Case & Scale
You receive a regulator-ready safety case, a documented risk register, and a phased scale plan to the second use case. Deliverables your security, risk, and audit teams can review independently.
Safety case format aligns to the BMA Insurance Code of Conduct and CIMA outsourcing guidance. Reuse it for internal audit, the board, and the regulator without rewriting.
Who is this for?
FOR THE CFO
"What is the ROI on a safe AI pilot versus waiting?"
Fixed scope, fixed price, four weeks. Board-ready business case for one use case, with a costed scale plan for the next. No open-ended commitments.
Your team spends 10 to 15 hours total over the four weeks.
Clients with governed data foundations report shorter quarterly close cycles.
TimeXtender public reference: Vodafone Iceland cut month-end reporting from 4 days to 3 hours.
FOR THE CIO
"Will this AI fit my architecture and stay in my tenant?"
Validate fit, integration, and security before your team is committed to a long build. TimeXtender deploys onto Microsoft Fabric, Azure, SQL Server, Snowflake, or AWS, with portable, metadata-defined logic. Your data stays in your tenant.
Deliverables include architecture diagrams, data flow maps, and security documentation your CISO can review independently.
FOR THE COO
"Can I defend this AI to the BMA and the board?"
Every AI output traces back to a governed data product with full lineage and metadata.
You get a documented safety case, a risk register aligned to the BMA Insurance Code of Conduct and CIMA outsourcing guidance, and an approval path you can take to the board.
Reproducibility is built in. Point-in-time outputs. No probabilistic guesses about how a number was produced.
Why Bespoke Analytics?
Built for Reinsurance. Based in Your Market.
Generic AI consultancies do not handle treaty structures, retrocession complexity, BMA model risk expectations, or CIMA outsourcing governance.
Off-the-shelf copilots cannot tell a regulator where their answer came from. Our team has spent years inside reinsurance finance and actuarial functions across Bermuda and Cayman.
We have been a TimeXtender partner for half a decade, with reinsurance-specific deployments and a working understanding of BSCR, EBS, and CISSA reporting realities.
20+ Years
Reinsurance Experience
BMA & CIMA
Regulatory Expertise
2 Weeks
To Board-Ready Outputs
How it works?
Scoping
Call
We learn about your AI candidates, current data landscape, and regulatory pressure points.
You learn exactly what the pilot delivers and what it costs.
No obligation.
Ready to Make a
Confident Decision on Fabric?
Book a 30-minute scoping call. No obligation. No sales pitch. Just a direct conversation about whether the Governed AI Pilot fits your situation and your regulatory environment.
Not ready to talk? Download the Governed AI Readiness Checklist and self-assess your data foundation, model risk posture, and audit defensibility first.
