Selected work · 2024–2026

Reference architectures, in production.

A selection of strategic engagements. Most are anonymised — regulated enterprises don't co-market. The architectures, decisions and operational outcomes are real.

Engagements Live & scaling Sectors Banking · Insurance · Life Sciences · Asset mgmt Geographies UK · EU · APAC
01
Reference · live
SectorTier-1 global bank
EngagementEnterprise AI architecture
Year2024 — present

Corporate Banking Payments AI & Analytics Platform.

Low-latency streamed payments data feeding a cross-platform governance and lineage architecture. Policy-as-code, signed audit ledger and a conversational AI interface deployed across the lines of business — powering live payments reporting, customer query management and incident recovery on the same evidenced substrate.

streaming-payments cross-platform lineage policy-as-code conversational AI audit ledger
100%
decisions signed
cross‑platform
lineage coverage
low-latency
streamed payments
Anonymised reference architecture · production view
02
Reference · live
SectorGlobal life sciences
EngagementAI/ML architecture design & delivery
Year2025 — present

Supply Chain & Operations Contract AI.

Conversational intelligence over a contract estate spanning hundreds of thousands of supplier, licensing and operations agreements. Every clause parsed, classified and made queryable in plain English by procurement, legal and finance — pricing exposures, indemnity terms and renewal clauses surfaced in seconds, with citation-backed answers traceable to the source paragraph. GxP-aligned audit trail across every query, response and citation.

contract-intelligence citation-by-default GxP-aligned conversational AI supply-chain-ops
100%
clauses citation-traceable
plain-English
query interface
GxP
aligned audit trail
Anonymised contract intelligence layer
03
Reference · scaling
SectorGlobal asset manager
EngagementOperating model · target architecture
Year2025 — present

Modernisation of Legacy Analytics Estate.

Migration strategy and operating model redesign for a large-scale data transformation across portfolio analytics, risk and client reporting. Iceberg-native lakehouse, contract-versioned data products, federated execution under central governance.

iceberg data-contracts operating-model portfolio-risk
17
data products
6
lines of business
100%
contract-versioned
Anonymised target operating model
04
Reference · live
SectorTier-1 UK bank
EngagementDesign & build
Year2021 — present

Customer 360.

Design and build of an enterprise-wide Customer Data Platform exposing externalised APIs for real-time identity, customer profile and event management. Rationalised 14 different identity-generating systems into a single resolved customer view powering personalisation and self-service across digital channels — contributing more than £20m in operational savings through automation, self-service and increased product upsell and cross-sell.

customer-360 identity-resolution real-time APIs event-streaming personalisation
14 → 1
identity systems rationalised
£20m+
operational savings
real-time
profile & event APIs
Anonymised customer-data-platform reference architecture
05
Reference · live
SectorTier-1 UK bank
EngagementStrategy, design & delivery leadership
Year2019 — 2023

Bank-wide Data & Analytics transformation.

End-to-end ownership of a bank-wide Data & Analytics strategy and £600m cross-franchise transformation programme — modernising the data estate from on-premise to a cloud-native lakehouse, embedding executive data ownership, and standing up a 30,000-colleague Data Academy. Delivered data-driven experiences for 19 million customers across retail, commercial, markets and wealth, with an estimated £400m revenue contribution from analytics-led interventions and a 20% reduction in run-cost.

enterprise-strategy cloud-migration data-governance data-academy multi-franchise
£600m
programme delivered
19m
customers reached
20%
run-cost reduction
Anonymised cross-franchise transformation blueprint
06
Reference · live
SectorTier-1 UK bank
EngagementML platform · architecture & delivery
Year2021 — present

Enterprise ML for customer value & financial-crime detection.

Established AWS-centric machine-learning and analytics capabilities at enterprise scale — powering a Customer Lifetime Value engine that drives revenue-positive interventions and balance increases, alongside automated transaction-monitoring and fraud-detection models that reduced risk and increased operational efficiency by over 60%. Same governance, same audit ledger, applied to the model lifecycle from training through challenge to production scoring.

aws-native customer-lifetime-value fraud-detection transaction-monitoring model-governance
60%+
efficiency uplift in fraud / TM
enterprise
scale CLV scoring
end-to-end
model governance
Anonymised AWS-native ML platform reference
Field notes & reference architectures

Want the unredacted version?

Most of what we ship lives behind NDA. We can walk a sector-relevant architecture and operating-model artefact in person, in your environment.