- Executive interviews and evidence request
- Data, reporting, governance, and AI maturity assessment
- Risk and opportunity heatmap
- Decision and control dependency map
- 90-day action plan
- Board-ready findings pack and executive readout
Data and AI decisions your board can defend.
Fragmented data is not a technology problem. It is a board-level decision problem, a regulatory control problem, and a commercial performance problem.
I gave a bank's critical data named owners, traceable lineage and audit evidence that held, while the core platform beneath it was being replaced.
Led by Quentin Casares
I have worked in data for more than 30 years, including four Head of Data roles.
Every claim I make carries a traceable source, a metric or a named framework, because a board cannot defend governance theatre.
I do the work myself, with external audit and supervisors in the room when they need to be. Everything is confidential by default.
Data functions led at Alpha Bank London, HSBC, Volante Global and MTC UK.
- Alpha Bank LondonNo material findings
Deloitte FY25 audit
Produced the evidence base for the Deloitte FY25 data-governance audit, which had no material findings.
- Alpha Bank LondonWith PwC
BCBS 239 remediation
BCBS 239 data remediation with PwC, Microsoft Purview deployed across the critical data estate.
- HSBC£2m+
Recurring cost efficiencies
Over £2m in recurring cost efficiencies, a 30+ country EMEA portfolio and a 40+ person blended team reporting to the HR ExCo.
- Dufrain37% to 85%
Aggregated data quality
Aggregated data quality improved from 37% to 85%; processing speed improved separately by 25%.
- Volante GlobalAzure Databricks, Synapse and Data Factory
Data function and platform
Built the data function and commercial platform on Azure Databricks, Synapse and Data Factory; Microsoft Fabric and Power BI adopted afterwards.
01
Executive data & AI confidence review
A board-readable view of what is true, what is exposed, and what should happen over the next 90 days.
02
Board AI governance workshop
A board that can distinguish innovation from unmanaged exposure and knows which decisions it owns.
- Pre-session evidence review and sponsor interview
- Board briefing on current AI governance obligations and market practice
- Use-case materiality and decision-rights exercise
- Control and evidence gap map
- Board question set and 60-day action note
03
Fractional data & AI leadership
An accountable senior operator who builds the function and leaves it with owners who can run it.
- Executive mandate and outcome scorecard
- Operating model and decision rights
- Team, supplier, and programme leadership
- Board, ExCo, and governance reporting
- Permanent-role definition and transition plan where required
which seat are you in?
I sit on the board
You need confidence that the numbers in the room can be trusted, and that AI adoption is governed well enough to withstand scrutiny.
Take the readiness diagnostic
I own the numbers
As a CFO or finance leader you need reporting you can defend, efficiency you can evidence, and a clear read on where data quality is costing decisions.
Read: decision-grade data
I'm a PE operating partner
You need a fast, honest read on a portfolio company's data and AI maturity, and a value path that survives diligence.
Take the readiness diagnostic
I answer to a regulator
You need AI adoption and data controls that survive examination: classification, accountability and evidence.
Read: regulated AI governance