Modern data platforms, credit risk analytics, and production AI/ML for regulated and data-intensive organisations. We don't consult on what we've never shipped.
- Former CDO National credit bureau, KSA
- 15+ years In regulated data, AI & risk
- 8 frameworks fluent BCBS 239 · SR 26-2 · EU AI Act · IFRS 9/17 · …
- Australia · KSA · Global Senior advisory across 3 regions
The paradox
Enterprises are stuck between governance and velocity.
Risk and compliance teams demand bulletproof governance. Business and data teams demand speed. Most projects never reach production.
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The advisors
Understand risk and regulation.
But can't build what they recommend.
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The vendors
Build sophisticated platforms.
But don't understand your domain's complexity.
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The result
Millions on “digital transformation.”
That doesn't transform the bottom line.
Three things make this practice different from the consultancies and the vendors competing for the same brief.
Capabilities
Four pillars. One discipline.
Advisory, foundations, decisions, and production AI — the four surfaces a serious data programme has to get right. Each links into the depth of our solutions.
Who we work with
Three industries, one common problem.
The leap from a roadmap on a slide to a system in production. The work looks different in each; the discipline is the same.
- 01 / Vertical
Financial Services
Banks, fintechs, credit bureaus, regulated lenders, insurers. Bayan-built. Equifax-trained. Spectral-shipped.
- 02 / Vertical
Technology Startups
Series A–C startups going to enterprise. Production ML, fractional senior data leadership, governance for enterprise sales.
- 03 / Vertical
Data-Intensive Organisations
Healthcare, energy, public sector, mid-market. Cross-sector financial-modelling depth applied to data-intensive operations.
Proven impact
Numbers from production.
Not projections.
Outcomes from work shipped in regulated, national-scale environments — the kind of evidence your board and your regulator will both ask to see.
For Risk & Finance Leaders
Annual Revenue National-scale credit scoring programme built and scaled
Gini Coefficient On a production ML model for corporate credit risk
Enterprise Data Warehouse Designed and delivered, processing millions of weekly records from 50+ providers
Approval Rate On previously declined segments using challenger models
Data Quality Index Through a fully automated DQ framework
For Data & Technology Leaders
Reduction in Decision TAT Via an event-streaming architecture
Single Source of Truth Datasets delivered, fully audited to the General Ledger
Event-Sourced Analytics Built with dbt, ClickHouse and realtime processing
Generative AI Workflows Deployed for trading and research, optimised for cost and latency
On-chain / Off-chain Data Integration for protocol risk and investor reporting
Engagements
Three ways to start.
The fastest paths into the practice — from a two-week senior read to a multi-month fractional CDO retainer. See all five productised engagements.
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Engagement The CDO Diagnostic
2 weeks
Two weeks. A senior assessment of your data, AI, or risk programme — the way a CDO would diagnose it from the inside. You walk away with a 10-page report, an opportunity map, and three quick-win recommendations.
USD $2,500 introductory (first 3 only) / $5,000 standard
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Engagement Data & AI Maturity Audit
4 weeks
Four weeks. A comprehensive maturity audit covering governance, platform fitness, AI readiness, and regulatory exposure. 25-page deliverable, 90-day roadmap, executive workshop. The audit your board needs before signing off on the next data investment.
USD $10,000–$12,000
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Engagement Fractional Head of Data
Monthly retainer
Senior data leadership without the full-time hire. 8–12 days a month: team management, stakeholder representation, build oversight, regulator-facing accountability. The CDO function, on retainer.
USD $10,000–$18,000 / month
3-month minimum
Free assessments
Three free assessments. Under 10 minutes each. Senior-built.
Where do you stand against the frameworks that matter? Each assessment produces a benchmarked maturity score and a gap analysis you can share with your team.
Personalised maturity score
Scored across every dimension of your operating model, not a one-number summary.
Gap analysis
Surfaced against the regulator's framework, not against the average peer.
Roadmap recommendations
Prioritised by impact and sequenced for delivery — not a generic best-practice list.
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Assessment 7 min
Credit Risk Data Governance
BCBS 239 · SR 26-2 · DAMA-DMBOK
Why this mattersStart the assessmentBenchmark your credit-risk data governance against BCBS 239, the U.S. federal banking agencies' SR 26-2 model risk supervisory letter (issued April 2026, replacing SR 11-7), and DAMA-DMBOK. The assessment scores your maturity across 12 dimensions and produces a gap analysis you can share with your audit committee.
- BCBS 239
- SR 26-2
- DAMA-DMBOK
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Assessment 8 min
AI/ML Governance
EU AI Act · NIST AI RMF · ISO/IEC 42001 · SR 26-2
Why this mattersStart the assessmentWhere do your AI/ML practices stand against the EU AI Act's high-risk classification, NIST AI RMF, ISO/IEC 42001, and SR 26-2 model risk management (issued April 2026, replacing SR 11-7)? Fourteen questions to a benchmarked score plus a roadmap to close the gaps your next enterprise procurement will ask about.
- EU AI Act
- NIST AI RMF
- ISO/IEC 42001
- SR 26-2
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Assessment 10 min
Data Privacy Readiness
KSA PDPL · GDPR · UK GDPR · AU Privacy Act · India DPDPA · CCPA/CPRA
Why this mattersStart the assessmentMulti-regime readiness in one assessment — KSA PDPL, GDPR, UK GDPR, AU Privacy Act, India DPDPA, and CCPA/CPRA. Twenty-two questions; a benchmarked maturity score and a remediation map across every regime that touches your data.
- KSA PDPL
- GDPR
- UK GDPR
- AU Privacy Act
- India DPDPA
- CCPA / CPRA
Independent advice
Stack-fluent depth. Vendor-neutral by design.
We give independent advice to help you choose the right data, AI, and risk technology for your business — not the one that pays a referral fee. We work fluently across the modern data stack because we've shipped it in production at national scale. But we don't sell it.
- Bank · MENA
Data governance & privacy
200-rule data quality framework aligned to BCBS 239 — board-signed, audit-ready, in-production within 12 weeks.
- 200+ DQ rules
- BCBS 239 aligned
Data Foundations Data Advisory
- Digital lender · APAC
Event-sourced decisioning
Cut decision turnaround from 90 minutes to 15 with a streaming-first architecture, fully audited to the general ledger.
- 90→15 min TAT
- 100K+ Events/hr
Data Foundations
- Credit bureau · KSA
From zero to bureau score
Built a national credit scoring system on fragmented data — Gini 0.85, IFRS 9-aligned, regulator-reviewed.
- 0.85 Gini
- +12% Approval
- 95.6% DQ Index
Decision Intelligence Production AI
Get started
Ready to build data, AI, and risk systems your regulators trust?
Take a free assessment to benchmark where you stand — or book a 30-minute discovery call to talk through your specific challenge.