Insights
Engineering notes from the field.
Long-form pieces written by the practitioners who deliver the work — not the marketing team. Enterprise integration, production AI, BPMS, and platform engineering, drawn from real programmes.
2026 CADENCE
Recent pieces (2026).
I.2.1 · Enterprise Integration
AI Is Driving an Integration Renaissance — And Most Teams Aren't Ready
The enterprise integration discipline that came of age in the 2010s is suddenly the most important capability in AI delivery. Most teams have under-invested. The bill is coming due.
I.2.2 · Government Transformation
Government AI in 2026 — What the Programmes Are Actually Delivering
Government AI initiatives are now well into their delivery phase. The programmes that are showing returns share recognisable patterns; the ones that aren't show their own.
I.2.3 · AI & Enterprise AI
Three Years of Enterprise AI — What We Got Right and Wrong
A practitioner reflection on three years of enterprise AI work — the patterns I called correctly, the calls I got wrong, and what to take from each into 2026 and beyond.
I.2.4 · AI & Enterprise AI
The 2026 AI Infrastructure Shift — What's Changing Underneath
The infrastructure layer for enterprise AI is shifting in 2026. New hardware, new deployment patterns, new economics. A look at what's actually different and what it means for architecture decisions.
I.2.5 · AI & Enterprise AI
MCP One Year In — What's Working, What Isn't
Model Context Protocol is a year into broader adoption. The standardisation has paid off in specific ways and disappointed in others. A practitioner perspective from the trenches.
ARCHIVE
Earlier pieces by year.
Field notes documenting how enterprise integration, platform engineering, and AI work has evolved across our delivery practice.
Year · 2025
AI-Native Enterprise Transformation
21 pieces
AI & Enterprise AI
Enterprise AI in 2025 — Year in Review
A second year-end reflection from the field. What stabilised, what surprised, and what's heading into 2026.
16 December 2025
AI & Enterprise AI
Building the 2026 AI Roadmap — A Practitioner Framework
Annual AI planning has matured into its own discipline. A framework for building the 2026 roadmap that holds up through the year, not just through the planning cycle.
4 November 2025
AI & Enterprise AI
Banking AI Compliance in 2025 — What Regulators Are Expecting
Banking regulators have published more specific AI expectations through 2024 and 2025. The institutions that engage with the expectations early have an easier 2026 ahead.
7 October 2025
AI & Enterprise AI
Open vs Closed Models — Where the Decision Sits in Late 2025
The open-vs-closed model debate has matured. Both ecosystems are credible for enterprise use. The choice in late 2025 depends on workload-specific factors, not on broad ideology.
9 September 2025
AI & Enterprise AI
AI Auditing and Assurance — The Discipline That's Emerging
AI auditing has moved from a theoretical concept to a real enterprise discipline through 2024 and 2025. The frameworks are codifying; the practice is becoming professional.
12 August 2025
AI & Enterprise AI
Voice AI in Enterprise — Crossing the Production Threshold
Voice AI has been almost-there for years. Through 2024 and into 2025, the capability and the integration patterns have moved enough that specific enterprise use cases are now production-viable.
15 July 2025
Government Transformation
AI-Augmented Government Workflows — What's Settling in 2025
Government adoption of AI has accelerated through 2024 and 2025. The workloads that ship and stay shipped share recognisable shape — bounded scope, human-in-the-loop, strong audit, conservative posture.
8 July 2025
AI & Enterprise AI
AI in the Energy Sector — Production Patterns in 2025
Energy is a sector where AI has been pitched into operations, regulation, exploration, and trading. The patterns that have shipped to production show recognisable shape; the marketing has been mostly aspirational.
13 May 2025
AI & Enterprise AI
AI in Life Sciences — Production Use Cases in 2025
Life sciences combines high-volume document work, regulated decisions, and complex scientific reasoning. The AI use cases that have moved into production show recognisable shape.
6 May 2025
AI & Enterprise AI
AI in IT Operations — Where the Real Productivity Lands
ITSM and IT operations are document-heavy, repetitive, and high-volume — well-matched to AI augmentation. The deployments that ship share recognisable shape; the ones that stall share recognisable failure modes.
22 April 2025
AI & Enterprise AI
Forecasting Enterprise AI Costs — Methods That Hold Up
Annual budgeting for AI workloads is hard. The costs have multiple drivers, the usage patterns change, the technology moves. A practitioner view of forecasting methods that produce useful estimates instead of theatre.
15 April 2025
AI & Enterprise AI
AI in Software Engineering — Beyond the Code Completion Era
Code completion was the first wave. Agentic coding tools, AI-driven IDEs, and autonomous-bug-fix services are the second. The picture in 2025 is more nuanced than either the boosters or the sceptics suggest.
8 April 2025
AI & Enterprise AI
Reasoning Models in Enterprise — Where They Earn Their Cost
OpenAI o1, o3, and the reasoning-model category have changed what AI can do on multi-step problems. The enterprise use cases are real but narrower than the marketing suggests.
1 April 2025
AI & Enterprise AI
Migration Patterns — From Early AI Deployments to Mature Ones
Many enterprises have early AI deployments that worked enough to ship and now show their limitations. The migration from early to mature deployment is its own programme of work.
4 March 2025
AI & Enterprise AI
AI-Native UX Patterns — What's Settling in 2025
AI-native applications have surfaced new interaction patterns. Some are working; some are friction. A practitioner view of UX patterns settling into production AI products.
25 February 2025
AI & Enterprise AI
AI Governance Frameworks Codify — What's Settled in 2025
AI governance was an evolving set of internal practices a year ago. In 2025 the frameworks are codifying — internally and externally — and the patterns that work are clearer.
18 February 2025
Platform Engineering
AI Platform Engineering — What Mature Platforms Look Like in 2025
The first wave of enterprise AI platforms is now mature enough to extract patterns. The platforms that compound value across line-of-business teams share recognisable shape.
11 February 2025
AI & Enterprise AI
Agent Infrastructure Catches Up — The Production Stack in 2025
Agent infrastructure was the gap a year ago. In 2025 the stack has matured enough that production deployment is a reasonable expectation, not a research bet.
4 February 2025
AI & Enterprise AI
Inference Economics in 2025 — Where the Cost Curves Have Settled
The cost-per-token curves moved dramatically through 2024. Where do they sit at the start of 2025, and what does it mean for enterprise architecture decisions?
28 January 2025
Government Transformation
Sovereign AI — What Government-Grade Deployment Actually Looks Like
Sovereign AI is the policy framing; in-country, in-boundary AI deployment is the engineering work. A practitioner view of what shipping AI for government and regulated industry actually requires in 2025.
21 January 2025
AI & Enterprise AI
The AI-Native Architecture Pattern in 2025
AI-native applications have moved from architectural curiosity to mature pattern. A practitioner view of what the architecture looks like when it's done well, and how it differs from AI-augmented conventional applications.
14 January 2025
Year · 2024
Intelligent Automation & Enterprise AI Foundations
42 pieces
AI & Enterprise AI
Enterprise AI in 2024 — What We Learned
A year-end practitioner reflection on what changed in enterprise AI in 2024, what stayed the same, and what to take into 2025.
17 December 2024
AI & Enterprise AI
Reading LLM Benchmarks — A Practitioner Guide to What They Mean
Every model release comes with benchmark numbers. The numbers are easy to read and easy to misinterpret. A practitioner view of what benchmarks actually measure and how to use them for enterprise decisions.
10 December 2024
AI & Enterprise AI
MCP and AI Interoperability — The Standardisation That Was Missing
Model Context Protocol arrived in late 2024 as an attempted standard for AI-to-tool connections. The standardisation matters more than the protocol details for enterprise architects.
3 December 2024
AI & Enterprise AI
AI in Supply Chain — Where the Genuine Wins Are Landing
Supply chain AI has been a long-running marketing category. The genuinely useful applications in 2024 are narrower than the pitches but more durable.
26 November 2024
AI & Enterprise AI
AI in Data Engineering — Where the Workflow Actually Changes
AI assistance in data engineering is producing real productivity gains in narrow places and overhyped claims in others. A practitioner view of where data engineers should actually adopt AI in 2024.
19 November 2024
AI & Enterprise AI
AI in Financial Services Compliance — Where the Programmes Are Landing
Financial services compliance is a high-volume, document-heavy, audit-grade workload. AI fits well in the right places and badly in the wrong ones. A practitioner view of where the programmes are actually delivering value.
12 November 2024
App Modernisation
AI for Legacy Modernisation — Beyond the Code Translation Demos
AI-assisted legacy modernisation is being pitched as transformative. The reality is that AI accelerates parts of a modernisation programme that were never the bottleneck. The hard parts remain hard.
5 November 2024
AI & Enterprise AI
Computer Use and Browser Agents — Where the Threshold Sits
Anthropic's Computer Use, browser-control demos from OpenAI and others — the agentic-AI-controls-the-screen pattern has crossed a threshold in late 2024. What's actually production-ready is much narrower than the demos.
29 October 2024
AI & Enterprise AI
Long Context Windows — What Changes for Enterprise Workloads
Million-token context windows are now commercially available. They change the design of some workloads materially, change others not at all, and introduce new failure modes worth understanding.
1 October 2024
AI & Enterprise AI
Self-Hosting Open LLMs in Enterprise — When It's Worth It
Self-hosting open models has gone from a research exercise to a real enterprise option in 2024. The cases where it earns its operational cost are clearer than they were a year ago.
17 September 2024
AI & Enterprise AI
AI Vendor Selection and Procurement for Enterprise
AI vendors are pitching every enterprise. The procurement process for AI tools needs to evaluate things conventional software procurement doesn't — model lineage, data handling, evaluation methodology, exit strategy.
10 September 2024
AI & Enterprise AI
Building an AI Centre of Excellence — What Actually Works
Every enterprise has an AI Centre of Excellence on the org chart or planned for one. The shape that compounds value differs from the consultancy-recommended default.
3 September 2024
AI & Enterprise AI
Real-Time AI vs Batch AI — Choosing the Right Latency Profile
The default is real-time. The right choice is often batch. A practitioner view of when each pattern earns its complexity, and how to design for the latency profile your workload actually needs.
20 August 2024
AI & Enterprise AI
Text-to-SQL Beyond Demos — What Production Deployments Actually Require
Natural-language-to-SQL has been a research demo for two decades. Current models make it credible. Making it production-grade in an enterprise data warehouse requires more than the demo suggests.
13 August 2024
AI & Enterprise AI
AI Systems and Enterprise Identity — Where Most Deployments Cut Corners
Authentication and authorisation are conventional enterprise architecture topics. In AI systems they tend to be deferred, abbreviated, or wired up wrongly. A practitioner view of the patterns that actually hold up.
6 August 2024
AI & Enterprise AI
LLM Security — Threats, Mitigations, and What Enterprise Teams Should Actually Do
The LLM security landscape in mid-2024 has more named threats than mature mitigations. A practitioner view of which threats deserve attention and which technical and operational controls actually reduce risk.
30 July 2024
AI & Enterprise AI
From AI Pilot to Production — The Playbook That Bridges the Gap
Every enterprise has AI pilots. Far fewer have AI in production. The bridge between the two is more about organisational discipline than technical capability. A practitioner playbook.
23 July 2024
AI & Enterprise AI
The Practical State of AI Agents in Mid-2024
The agent conversation has moved from hype to deployment in some categories and remains hype in others. A practitioner snapshot of where agents are actually working and where they are still demos.
16 July 2024
AI & Enterprise AI
Multimodal AI in the Enterprise — Where Vision Plus Text Earns Its Cost
GPT-4o, Claude 3, Gemini 1.5 brought capable multimodal models to the enterprise. The use cases that justify the cost are narrower than the demos suggest, but the ones that do justify it are worth investing in.
9 July 2024
AI & Enterprise AI
AI Code Assistants in Enterprise — What's Actually Shipping
GitHub Copilot rolled out broadly; Cursor and similar editors emerged; competitive options from Anthropic and Codeium gained ground. The enterprise picture for AI-assisted development in mid-2024 is more nuanced than the productivity claims suggest.
2 July 2024
AI & Enterprise AI
LLMOps Maturity — A Practitioner's Maturity Model
Most enterprises are operating LLM workloads on engineering intuition alone. A maturity model helps locate where you are, what to invest in next, and what the next stage actually requires.
4 June 2024
AI & Enterprise AI
AI in Customer Support — Where the Wins Actually Land
Customer support is the most-attempted enterprise AI use case. Most attempts produce modest results. A practitioner view of where the wins actually land — and where the productivity claims fall apart in production.
28 May 2024
AI & Enterprise AI
Knowledge Graphs and RAG — Two Patterns That Belong Together
Pure vector retrieval has a ceiling on enterprise knowledge. Combining it with a structured knowledge graph layer breaks past that ceiling for many real workloads.
21 May 2024
AI & Enterprise AI
Red Teaming Enterprise AI Systems — A Practitioner Playbook
Most enterprise AI systems are deployed without serious adversarial testing. The teams that ship with confidence are the ones that have tried to break their own system before users or attackers do.
14 May 2024
AI & Enterprise AI
The Case for Smaller Models in Enterprise AI
The default of routing everything to the largest frontier model is a habit, not a strategy. Open and smaller commercial models have closed enough of the gap that the case for using them is now strong for many enterprise workloads.
7 May 2024
Observability
AI Observability — What to Log and Why
Conventional application observability misses what matters in LLM systems. A practitioner view of the trace shape that actually lets you debug, audit, and improve a production AI system.
30 April 2024
AI & Enterprise AI
LLM Cost Discipline — Engineering Practices That Keep Bills Predictable
Most teams discover LLM cost through the bill. By then, the cost shape is set and hard to change. The engineering practices that keep costs predictable are not exotic, but they have to be in place from the start.
23 April 2024
AI & Enterprise AI
Fine-Tuning vs Prompting — How to Decide for Enterprise Workloads
The fine-tuning question keeps coming up in enterprise AI conversations. A practitioner framework for deciding when fine-tuning is worth it, when prompting is sufficient, and when retrieval is the actual answer.
16 April 2024
AI & Enterprise AI
Function Calling — Production Patterns for Enterprise
Function calling turned LLMs from text producers into action takers. The production patterns are constrained: a tight function catalogue, careful permission modelling, robust argument validation, and explicit human checkpoints for irreversible actions.
9 April 2024
AI & Enterprise AI
LLM Evaluation — The Engineering Discipline Most Teams Skip
Without evaluation, every change to an LLM system is a guess. Teams that build evaluation discipline ship with confidence; teams that skip it operate on intuition until production incidents force the issue.
2 April 2024
AI & Enterprise AI
Multi-Agent Orchestration — Hype Versus Production Reality
Multi-agent frameworks dominate the AI engineering conversation right now. The patterns that actually ship are narrower, more bounded, and more boring than the demos suggest.
26 March 2024
AI & Enterprise AI
Conversational BI — Patterns That Survive in Production
Conversational interfaces over enterprise data are tempting and easy to demo. The patterns that survive enterprise governance, accuracy expectations, and data complexity are a much narrower set than the demos suggest.
19 March 2024
AI & Enterprise AI
AI in Regulatory Workflows — A Production Walkthrough
Regulatory workflows are where the demand for AI augmentation is highest and where the bar for production deployment is steepest. A practitioner walkthrough of what actually ships in this category.
12 March 2024
Workflow Automation
Process Mining + AI — Where the Real Value Lands
Process mining without AI shows you the process you have. AI without process mining works on assumptions. Combining them is where the next generation of workflow automation is actually unlocked.
5 March 2024
AI & Enterprise AI
Prompt Engineering for Enterprise Integration Workloads
Prompt engineering for chat is one discipline. Prompt engineering for enterprise integration is another. The patterns that produce reliable structured output at scale are not the patterns that produce engaging chat.
27 February 2024
AI & Enterprise AI
AI-Native vs AI-Bolted-On — A Design Distinction That Matters
Adding an AI feature is not the same thing as building an AI-native application. The distinction shows up in the architecture and in the user experience — sometimes a year after launch.
20 February 2024
AI & Enterprise AI
AI Governance and Guardrails for Production Systems
Most enterprises talk about AI governance after the first incident. The teams that do it from day one ship faster, not slower — the discipline matters as much as the model.
13 February 2024
AI & Enterprise AI
Intelligent Document Processing — From OCR to Understanding
Intelligent document processing has changed shape in the last eighteen months. A practitioner view of where the real work sits when LLMs join the pipeline — and why parsing still matters more than the model.
6 February 2024
AI & Enterprise AI
Vector Databases for Enterprise Search
Vector databases are the easy part to demo and the hard part to run at enterprise scale. A practitioner view of the choices that actually matter when picking and operating one in a regulated estate.
30 January 2024
AI & Enterprise AI
The Enterprise AI Stack — A Reference Architecture
Most enterprise AI teams are assembling the same stack from the same parts. A clean reference architecture for the layers that compose an AI-augmented enterprise platform — and the design decisions at each layer.
23 January 2024
AI & Enterprise AI
RAG Architecture — From Demo to Production
Retrieval-augmented generation is the dominant enterprise LLM pattern of the year. The demos are cheap; the production systems are not. A practitioner walkthrough of where the work actually sits.
16 January 2024
AI & Enterprise AI
LLM Integration Patterns for Enterprise Applications
Most LLM proofs of concept work in a notebook and break in production. The patterns that survive deployment are not exotic — they're the ones built on enterprise integration discipline most teams already have.
9 January 2024
Year · 2023
Cloud, Platform Engineering & Modernization
20 pieces
Enterprise Integration
Integration Resilience Patterns
Resilience in integration estates is the discipline of expecting things to fail and degrading gracefully when they do. A year-end synthesis of the patterns that survive real failures — circuit breakers, retries with discipline, bulkheading, timeouts, idempotency, and the operational habits that hold them together.
19 December 2023
Cloud Engineering
Building Scalable Cloud Architectures
Cloud-native scalability is rarely a single architectural decision — it's a layered commitment to autoscaling, asynchronous patterns, data partitioning, caching, and edge delivery. A practitioner view of which patterns belong at which layer.
5 December 2023
Platform Engineering
Enterprise Platform Governance
Platform governance sits between platform team and consumer teams, between central standards and team autonomy, between speed and discipline. A practitioner view of the governance forums, decision rights, and policy boundaries that make platforms operable in regulated enterprises.
21 November 2023
Platform Engineering
Containerization Strategy for Enterprises
Containerization is mature enough to be the default packaging model for new enterprise applications. The strategic decisions are no longer whether to containerise, but which workloads should not, how to sequence adoption, and what the operating model around containers actually demands.
7 November 2023
API Management
Modern API Management Practices
What was emerging API management practice in 2020 is now table stakes in 2023. A practitioner synthesis of the disciplines that have moved from leading-edge to baseline, what remains genuinely advanced, and where the next round of capability is forming.
17 October 2023
Platform Engineering
Digital Platform Engineering
Digital platform engineering sits at the intersection of product, engineering, and operations. The discipline has crystallised over the past few years into a distinct practice with documented patterns. A practitioner view of what makes the practice work in enterprise estates.
28 September 2023
Observability
Enterprise Monitoring Platforms
Datadog, Splunk, Dynatrace, New Relic, the Grafana stack, cloud-native observability — the market has split along distinct operating models with materially different cost curves. A practitioner view of how to choose, when to switch, and where the migrations actually break.
12 September 2023
Cloud Engineering
Hybrid Cloud Integration Strategy
A year and a half into operating hybrid cloud estates, the patterns that work and the patterns that fail have separated cleanly. A practitioner view of cross-cloud integration, the aggregation layer, and the operating disciplines hybrid cloud genuinely requires.
22 August 2023
API Management
API Gateway Modernization
Most enterprise estates running legacy API gateways have outgrown them in ways that aren't yet causing crisis. A practitioner view of when to migrate, when to leave the legacy gateway alone, and how to architect the migration so it doesn't become a years-long programme.
8 August 2023
App Modernisation
Modernization Frameworks for Legacy Systems
The 6R model has become the default vocabulary for legacy modernization, but the framework only describes the choices. Choosing well between them requires honesty about the system, the team, and the strategic context. A practitioner view of what each R actually costs in delivery.
18 July 2023
Observability
Enterprise Logging & Observability
Most enterprise logging architectures were designed for a different era of cost economics. A practitioner view of structured logging, retention tiers, the cost discipline modern observability requires — and why the cheapest log line is often the one not emitted.
27 June 2023
Platform Engineering
Platform Reliability Engineering
SRE has moved from Google-specific practice to enterprise discipline. A practitioner view of what site reliability engineering actually requires in regulated enterprise platforms — error budgets, postmortem culture, the operational disciplines that hold.
6 June 2023
Managed Services
Managed Services Operating Models
Managed services contracts come in shapes that look interchangeable on a procurement deck and operate completely differently in practice. A decision framework for which model fits which platform — and the signs that the model has stopped working.
16 May 2023
Enterprise Integration
Event-Driven Architecture Patterns
Event-driven architecture has matured from emerging pattern to default substrate for cloud-native estates. A practitioner catalogue of the patterns that recur — and the operational disciplines that distinguish event-driven estates that scale from ones that accumulate confusion.
27 April 2023
Platform Engineering
Enterprise Platform Engineering
Platform engineering as a discipline has crystallised over the last few years. The internal developer platform pattern, the paved road, the platform-as-a-product mindset — a practitioner view of what makes it work in regulated enterprise estates.
11 April 2023
Observability
API Observability Best Practices
Most API observability tells you that the gateway is up. Useful API observability tells you what consumers actually experience. A practitioner view of the three pillars, the consumer-centric metrics that matter, and the OpenTelemetry adoption that has finally simplified the picture.
21 March 2023
DevSecOps
DevSecOps for Enterprise Applications
DevSecOps in regulated enterprises is the discipline of moving security from a late-stage audit into the engineering pipeline. A practitioner view of which controls actually belong in CI/CD, which belong at runtime, and which belong nowhere because they have outlived their purpose.
2 March 2023
Enterprise Integration
Cloud Integration Architecture
Cloud integration services have matured into platforms that compete with traditional iPaaS. A decision framework for what belongs on cloud-native integration versus what belongs on a dedicated integration platform — and how to architect the boundary.
14 February 2023
Platform Engineering
Kubernetes for Enterprise Platforms
Kubernetes is the default substrate for new enterprise platforms. The operating model — not the platform choice — is where most Kubernetes rollouts in regulated enterprises succeed or fail. A practical view from delivery.
26 January 2023
App Modernisation
Cloud-Native Enterprise Modernization
Cloud-native modernization is rarely a re-platforming exercise and almost never a wholesale rewrite. A practitioner framework for what actually changes — and a candid look at where cloud-native produces compounding value versus where the term has become marketing dust.
11 January 2023
Year · 2022
Enterprise Integration & Digital Foundations
20 pieces
Enterprise Architecture
Digital Transformation Foundations
Digital transformation is one of the more abused phrases in enterprise technology. A look at what the foundations actually are — the unglamorous capabilities programmes need in place before transformation can land — and how to invest in them deliberately.
20 December 2022
Workflow Automation
Enterprise Workflow Automation Patterns
Six recurring workflow patterns we see across regulated industries — approval chains, evidence collection, escalation paths, exception handling, parallel processing, and audit-by-design. Where each fits and what makes them production-ready.
6 December 2022
Government Transformation
Workflow Automation in Government Systems
Government workflow automation is different in ways that matter. The audit posture is the first deliverable, not the last. The legal context shapes the architecture. A perspective from delivery inside regulatory and ministerial programmes.
22 November 2022
App Modernisation
SOA Modernization for Enterprises
Service-Oriented Architecture has acquired baggage that obscures what it got right. A practitioner's view of what survives, what should be retired, and what the next generation of API-led and event-driven architectures actually inherited from SOA.
8 November 2022
App Modernisation
Modernizing Legacy Middleware Platforms
Legacy middleware modernisation rarely succeeds when treated as a platform migration. The high-leverage work is in the operating model, the document strategy, and the boundary discipline — most of which can be done without replacing anything.
17 October 2022
Enterprise Integration
Enterprise Integration Governance
Heavy governance kills delivery velocity. Light governance accumulates technical debt. Most enterprise integration estates oscillate between the two without finding the middle. A framework for governance that actually compounds value.
4 October 2022
API Management
API Governance Fundamentals
API governance means everything and nothing. A framework that distinguishes the governance work that produces operational value from the governance work that produces theatre — and the minimum disciplines a maturing API estate cannot skip.
14 September 2022
Workflow Automation
BPM vs Traditional Process Automation
BPM and traditional process automation look interchangeable on a slide. They are not. A practical decision framework for when each one fits — and the architectural cost of using the wrong one.
23 August 2022
API Management
API Security Architecture
API security is a layered problem. The architecture that holds up treats the gateway, the transport, the authentication, the authorisation, the input handling, and the audit posture as separate concerns — each defended independently.
9 August 2022
Enterprise Integration
Enterprise Service Bus Evolution
The ESB pattern is older than most engineers who work with it. A look at where it came from, what it did well, where it earned its bad reputation, and what genuinely replaces parts of it in modern integration architectures.
19 July 2022
Workflow Automation
Workflow Automation Architecture
Workflow estates that hold up share a smaller set of architectural decisions than people expect. A look at the structural choices that determine whether a workflow programme matures into a platform or stalls as a series of one-off projects.
5 July 2022
Enterprise Integration
Integration Scalability Challenges
The places enterprise integration estates actually slow down are rarely the places engineers expect. A practitioner's catalogue of the real bottlenecks — and what to do about them when they bite.
22 June 2022
Enterprise Integration
webMethods Integration Best Practices
Eight years of webMethods delivery distilled into the architectural moves and operating habits that separate estates that compound value from estates that accumulate debt. The unglamorous practices that survive every platform upgrade.
8 June 2022
Enterprise Integration
Hybrid Enterprise Integration Strategy
Hybrid integration has accumulated more meaning than the architects who coined the term intended. A decision framework for what workloads belong on-premises, what belongs in the cloud, and where the boundary between them should live.
24 May 2022
Enterprise Integration
Enterprise Integration Monitoring
Most integration monitoring tells you that processes are running. Useful integration monitoring tells you whether the business is being served. An operational guide to the metrics that matter, the alerts that should fire, and the dashboards an operations engineer can actually use.
10 May 2022
API Management
API Lifecycle Management
Most APIs in enterprise estates do not have a managed lifecycle. They have a birth and a slow decline. A practical view of what each lifecycle stage actually demands — and what the platforms that promise lifecycle management actually deliver.
26 April 2022
API Management
API-Led Connectivity Fundamentals
API-led connectivity is the most consequential architectural idea to come out of enterprise integration in the last decade. It is also the most commonly misunderstood. A practitioner's view of what it actually means, where it fits, and where it falls down.
12 April 2022
Enterprise Integration
Building Scalable Integration Platforms
Scaling an integration platform is rarely about throughput. The bottlenecks are almost always in the operating model — partner onboarding capacity, deployment cadence, observability coverage, and the senior-engineer concentration that nobody planned for.
28 March 2022
Enterprise Integration
Integration Security Best Practices
Integration security is the discipline most consistently underfunded in enterprise platforms and the one that produces the most expensive incidents. A field perspective on the practices that actually hold up under audit and the ones that fall apart on first inspection.
15 March 2022
Enterprise Integration
Enterprise Integration Challenges in Large Organizations
Integration estates in large organisations rarely fail because the technology was wrong. They fail because the operating model around the technology was missing. A field perspective on the patterns that hurt — and what to do about them.
22 February 2022
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The work above came from delivery. Reach out if you would like to talk through an estate of your own.