Adopting the Model Context Protocol in the enterprise: a governance guide
A practical governance guide for adopting the Model Context Protocol (MCP) in the enterprise without creating an unmanaged sprawl of integration points.
Read article ->Resources - Updated 04 July 2026
Browse all published resources grouped into Articles, Case Studies, and Whitepapers.
95 published items with dated entries.
A practical governance guide for adopting the Model Context Protocol (MCP) in the enterprise without creating an unmanaged sprawl of integration points.
Read article ->How to build observability for multi-agent AI systems, so tracing, evaluation and cost visibility keep pace with production incidents rather than lagging behind them.
Read article ->How to govern AI coding agents in the enterprise SDLC so autonomous code generation speeds delivery without eroding quality, security or accountability.
Read article ->A practical framework for meeting data residency and sovereign cloud requirements without fragmenting your architecture or your engineering teams.
Read article ->A practical FinOps model for controlling GPU and inference spend as generative AI workloads move from pilot to always-on production.
Read article ->How to bring unsanctioned AI tools and SaaS sprawl under governance without driving adoption further underground.
Read article ->How to secure autonomous AI agents against prompt injection, tool misuse and identity sprawl before they reach production.
Read article ->A practical guide to assessing cryptographic exposure and building a migration plan to post-quantum algorithms before the transition becomes urgent.
Read article ->How to build responsible AI governance frameworks that satisfy regulatory expectations and survive the pressure of real production environments.
Read article ->How to design agentic AI workflows that are reliable, governed, and observable enough to survive real production conditions.
Read article ->How to report on technology programmes so the board understands progress, risk, and value clearly.
Read article ->How to build a workforce upskilling programme that turns cloud and AI ambition into delivery capability.
Read article ->How to modernise enterprise search using AI so people find what they need without governance gaps.
Read article ->How to plan cloud migration waves that sequence risk sensibly and keep stakeholders aligned.
Read article ->How to staff and structure site reliability so reliability is owned, funded, and continuously improved.
Read article ->How to keep release management fast and auditable in environments with strict regulatory expectations.
Read article ->How to introduce test automation into legacy systems that were never built with testing in mind.
Read article ->How to embed privacy by design into analytics and AI so insight does not come at the cost of trust.
Read article ->How to make backup and recovery genuinely ransomware-ready instead of assuming the backups will work.
Read article ->How to decide whether a service mesh earns its complexity, and how to adopt one without regret.
Read article ->When to step back from microservices toward a modular monolith, and how to make the call objectively.
Read article ->A practical framework for selecting a vector database that fits your retrieval and scale requirements.
Read article ->How to evaluate AI models and build guardrails that keep production behaviour safe and predictable.
Read article ->How to build cloud financial forecasting that connects engineering plans to budgets the board trusts.
Read article ->How golden paths help platform teams offer self-service that is safe, consistent, and genuinely useful.
Read article ->Practical controls for securing container image supply chains from build through to runtime.
Read article ->How policy as code turns compliance from a manual checkpoint into an automated, continuous control.
Read article ->How to design incident command and on-call rotations that resolve issues faster and protect your people.
Read article ->What a durable customer data platform foundation looks like, and the mistakes that undermine adoption.
Read article ->How to approach legacy ERP modernisation in stages that protect operations and prove value early.
Read article ->A grounded view of data lakehouse adoption, and how to decide whether it fits your data estate.
Read article ->How to design real time analytics that informs operational decisions without overwhelming the platform.
Read article ->When edge computing is the right answer, and how to run distributed workloads reliably at the edge.
Read article ->How to design identity federation that lets partners integrate securely without weakening your controls.
Read article ->How to operate cloud security posture management so misconfigurations are caught and fixed early.
Read article ->How to make technical debt visible, prioritised, and funded so it stops eroding delivery speed.
Read article ->How to use DORA and flow metrics to understand delivery performance without gaming the numbers.
Read article ->Practical ways to reduce the carbon and cost footprint of cloud workloads through better engineering.
Read article ->How to adopt event streaming so it solves real integration problems instead of adding hidden complexity.
Read article ->A staged approach to database modernisation that moves critical workloads with minimal disruption.
Read article ->How to control runaway observability cost while keeping the signal teams need to operate confidently.
Read article ->A practical pattern for secrets management that removes hardcoded credentials and reduces blast radius.
Read article ->How to manage infrastructure as code across many teams without drift, duplication, or review bottlenecks.
Read article ->What a well-designed cloud landing zone includes, and how it accelerates safe adoption across teams.
Read article ->How data contracts reduce breakage between teams and create accountability for data quality at the source.
Read article ->How to design retrieval augmented generation systems that stay accurate, current, and grounded in your data.
Read article ->The foundations of an MLOps pipeline that makes model deployment repeatable, observable, and governed.
Read article ->How to modernise privileged access management to cut standing risk while keeping operations productive.
Read article ->A measured approach to consolidating fragmented API gateways into a consistent, governed layer.
Read article ->How to use feature flags and progressive delivery to ship safely and decouple release from deployment.
Read article ->Why most disaster recovery plans fail under pressure, and how to test recovery so it works when it matters.
Read article ->How to design multi-cloud networking that balances connectivity, security, and operational simplicity.
Read article ->A pragmatic guide to introducing chaos engineering in regulated enterprises without creating new risk.
Read article ->How to set service level objectives that reflect real user experience and drive better operational decisions.
Read article ->What it takes to build an internal developer platform that engineers actually adopt and that reduces delivery friction.
Read article ->How to design a data governance operating model that improves trust without slowing teams to a crawl.
Read article ->A disciplined approach to Kubernetes cost and capacity management that keeps clusters efficient and predictable.
Read article ->How to phase a zero trust network rollout across identity, devices, and workloads without stalling delivery.
Read article ->A practical API lifecycle management approach for enterprises balancing reuse, versioning, security and platform consistency.
Read article ->How to build an AI governance operating model that keeps risk teams comfortable while letting product teams ship valuable features.
Read article ->What changes after the first platform is live, and how to stop the operating model from drifting back to project mode.
Read article ->A practical AI platform reference model for organisations scaling model development, deployment and governance.
Read article ->How to build data product ownership that lasts beyond discovery workshops and actually changes how teams work.
Read article ->A step-by-step API modernisation guide for organisations replacing brittle point-to-point integrations.
Read article ->How to make incident reviews produce durable design changes instead of becoming a ritual that never changes outcomes.
Read article ->How to use architecture decision records to improve cross-team alignment and accelerate engineering decisions.
Read article ->A pragmatic guide to securing software supply chains without grinding regulated delivery teams to a halt.
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 ->10 published items with dated entries.
We consolidated a fragmented client data estate for a UK wealth management group, replacing four legacy adviser platforms with a single canonical data layer and unlocking accurate, timely regulatory reporting for the first time.
Read case study ->We designed and delivered a real-time supply chain visibility platform for a major UK parcel carrier, replacing batch-based tracking and giving operations teams and customers live delivery data for the first time.
Read case study ->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.