AI governance operating model that product teams will actually use
How to build an AI governance operating model that keeps risk teams comfortable while letting product teams ship valuable features.
Read article ->Resources - Updated 10 May 2026
Browse all published resources grouped into Blogs and Articles, Case Studies, and Whitepapers.
32 published items with dated entries.
How to build an AI governance operating model that keeps risk teams comfortable while letting product teams ship valuable features.
Read article ->A practical AI platform reference model for organisations scaling model development, deployment and governance.
Read article ->A step-by-step API modernisation guide for organisations replacing brittle point-to-point integrations.
Read article ->How to use architecture decision records to improve cross-team alignment and accelerate engineering decisions.
Read article ->How to design CI/CD governance in regulated environments without introducing release bottlenecks.
Read article ->A practical cloud exit strategy that protects negotiating leverage without over-engineering your platform.
Read article ->A practical cloud migration roadmap for regulated enterprises that need measurable progress, strong controls and no service disruption.
Read article ->A cloud-native testing strategy that balances speed, safety and confidence across distributed systems.
Read article ->A cloud security reference architecture covering identity, network segmentation, workload controls and evidence trails.
Read article ->How leaders are moving past "cloud-first" and getting serious about cost, sovereignty and architecture choices that actually pay back.
Read article ->Less theatre, more accountability. Notes from conversations with technology leaders this year.
Read article ->A balanced data mesh guide for enterprises deciding how much decentralisation they can support in practice.
Read article ->How to evaluate the modern data platform options without locking yourself into a five-year regret.
Read article ->A data quality operating rhythm that keeps trust high across analytics, machine learning and operational reporting.
Read article ->A field guide to enterprise integration patterns covering APIs, events, batch and workflow orchestration.
Read article ->An enterprise observability blueprint that turns logs, metrics and traces into faster incident resolution.
Read article ->Event-driven architecture is powerful - and over-applied. A practical lens for picking the right pattern for the right problem.
Read article ->Why cost optimisation needs to live with the engineering team - and how to set that up without theatre.
Read article ->The FinOps KPI stack that links engineering decisions to cloud unit economics and board-level reporting.
Read article ->What separates the AI initiatives that deliver measurable value from the ones that quietly stall after a flashy demo.
Read article ->Identity and access modernisation patterns for organisations running cloud-native and legacy workloads side by side.
Read article ->A staged approach to retiring legacy systems while keeping users - and auditors - comfortable.
Read article ->How to decompose mainframe-era systems with a sequence that protects revenue-critical journeys.
Read article ->How to set microservice boundaries that lower coordination cost and avoid accidental distributed monoliths.
Read article ->The engineering practices and platform choices that let lean teams ship reliable software at enterprise pace.
Read article ->What separates internal platforms that get adopted from those that quietly become another silo.
Read article ->A platform SRE playbook that improves service reliability, deployment speed and on-call quality at the same time.
Read article ->A product operating model for technology organisations moving from projects to persistent product teams.
Read article ->Why disaster recovery on paper is not the same as resilience in practice - and what to do about it.
Read article ->Embedding security thinking into product teams without slowing them to a crawl.
Read article ->A technology due diligence framework for SaaS acquisitions focused on platform risk, team capability and technical debt.
Read article ->How to spot real risk in a target's technology and team before the deal closes - without slowing the deal down.
Read article ->8 published items with dated entries.
We designed and delivered a modern smart-metering data platform serving more than five million domestic customers, replacing a fragmented set of legacy data stores and unlocking a new wave of customer-facing products.
Read case study ->We helped a major UK bank migrate a critical payments platform from a legacy mainframe-adjacent estate to a regulator-aligned cloud landing zone - without missing a single payment cut-off.
Read case study ->Manual claims triage and fragmented systems caused avoidable delays, leakage and poor customer experience.
Read case study ->Factory telemetry was siloed by site, limiting predictive maintenance and enterprise-level performance analysis.
Read case study ->Legacy reporting pipelines across acute and community services created inconsistent operational views and delayed decision making.
Read case study ->Ageing identity infrastructure was creating authentication failures, support overhead and audit risk.
Read case study ->We helped a UK government department modernise a high-volume citizen-facing digital service, retiring a legacy mainframe-based back end and improving accessibility, performance and operational cost in line with the GOV.UK Service Standard.
Read case study ->Rapid channel growth had outpaced the legacy commerce stack, driving checkout instability and seasonal risk.
Read case study ->3 published items with dated entries.
A decision framework for deploying AI in regulated industries with stronger assurance and measurable value.
Read whitepaper ->A practical cloud governance blueprint for enterprise leaders balancing risk, velocity and cost.
Read whitepaper ->A finance-aware view of legacy modernisation economics, sequencing and value realisation.
Read whitepaper ->Email the team and we will respond with a practical next step.