Perspectives

A point of view, fully developed.

Longer arguments about how enterprise technology work is changing and the decisions leaders should reconsider.

New perspectives

Current questions, developed in depth.

Perspective series

The complete body of thinking.

Every developed Perspective from the earlier Primus library is here with its full argument, diagrams and supporting detail.

AI Evolution

From practical adoption to agentic enterprise.

AI Evolution8 min read

2024: The Year AI Gets Practical

After a year of breathless hype, enterprise AI is shifting from impressive demos to production deployments. Here's what regulated industries need to know.

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AI Evolution7 min read

From Chatbots to Copilots

The evolution from standalone AI chatbots to embedded copilots is reshaping how enterprise work gets done.

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AI Evolution9 min read

The Guardrails Imperative

The EU AI Act is no longer theoretical. Organizations in banking, insurance, and healthcare face a critical question: build guardrails now or scramble to retrofit them later.

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AI Evolution8 min read

RAG and the Enterprise Knowledge Problem

Large language models are impressive, but they don't know anything about your organization. Retrieval-Augmented Generation promises to bridge that gap.

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AI Evolution9 min read

Agentic AI: Beyond the Chatbot

For years, AI has been a conversation partner—you ask, it answers. Agentic AI represents something fundamentally different: AI that doesn't just respond but acts.

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AI Evolution8 min read

AI Observability: Trusting What You Can't See

You can't manage what you can't measure. As AI systems become central to enterprise operations, the ability to observe, monitor, and understand their behavior becomes critical.

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AI Evolution8 min read

The Intelligent Automation Convergence

For years, RPA, IDP, process mining, and AI were separate disciplines with separate vendors. That era is ending. The convergence into unified platforms is reshaping enterprise automation.

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AI Evolution9 min read

AI in Regulated Industries: One Year Later

In January 2024, we predicted practical AI adoption in regulated industries. Twenty-one months later, what actually happened? Here's our honest assessment.

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AI Evolution10 min read

2026: The Agentic Enterprise

Two years ago, we declared 2024 the year AI gets practical. It was. Now a more profound transformation is underway: the emergence of the agentic enterprise, where AI doesn't just assist workers—it becomes a category of worker itself.

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Cloud Engineering

Enterprise foundations across AWS and Azure.

Cloud EngineeringPerspective

AWS: Enterprise Foundation Patterns

Building robust AWS foundations for regulated industries—landing zones, account structures, and architectural patterns that scale securely.

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Cloud EngineeringPerspective

AWS: Serverless at Scale

Production patterns for Lambda, Step Functions, and event-driven architectures—lessons from scaling serverless in regulated enterprises.

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Cloud EngineeringPerspective

AWS: AI Infrastructure for Applications

Building production AI applications on AWS—from managed services to self-hosted LLMs, GPU instance selection, guardrails implementation, and emerging patterns like MCP.

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Cloud EngineeringPerspective

AWS: Security & Compliance Automation

Automating security controls and compliance evidence on AWS—from threat detection to audit-ready documentation for regulated industries.

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Cloud Engineering9 min read

Azure: Enterprise Foundation Patterns

Azure Landing Zones provide the architectural foundation for enterprise cloud adoption—but implementing them in regulated industries requires more than following Microsoft's reference architectures. Here's how we approach Azure foundations for organizations where security and compliance aren't optional.

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Cloud Engineering9 min read

Azure: Platform Engineering

Platform engineering has moved from buzzword to business imperative. The goal is simple: reduce cognitive load for development teams while maintaining the governance that enterprises require. Azure offers multiple paths to this destination—choosing the right one depends on where your organization sits on the maturity curve.

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Cloud Engineering9 min read

Azure: AI Infrastructure for Applications

Azure's AI infrastructure has matured rapidly. Between Azure OpenAI Service, the Model Catalog, and GPU compute options, enterprises now have multiple paths to production AI. The challenge isn't access to models—it's building the infrastructure patterns that make AI applications reliable, secure, and cost-effective.

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Cloud Engineering9 min read

Azure: Security & Compliance in the AI Era

AI workloads introduce security challenges that traditional cloud security models weren't designed to address. Prompt injection, model poisoning, data exfiltration through generated content—these threats require new thinking about how we protect enterprise systems. Azure's security tooling has evolved to meet these challenges, but implementation requires understanding both the new threat landscape and the compliance implications.

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Data Engineering

Data platforms prepared for operating value.

Data Engineering8 min read

The Modern Data Stack Matures

From shiny new tools to battle-tested platforms—how enterprise data infrastructure finally grew up.

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Data Engineering9 min read

Data Mesh: Hype vs Reality

Three years after Zhamak Dehghani's seminal work, what's actually working in enterprise data mesh implementations?

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Data Engineering8 min read

AI-Ready Data Foundations

Your AI initiatives are only as good as your data. Here's what "AI-ready" actually means for enterprise data platforms.

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Data Engineering9 min read

Real-Time Analytics: The New Baseline

Batch was the default. Now real-time is expected. How streaming architectures became table stakes for modern enterprises.

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Project Management

Delivery practices for changing teams and tools.

Project Management8 min read

Agile in the AI Era

When your developers have AI copilots and your estimates are based on human-only velocity, something has to change.

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Project Management9 min read

The Hybrid Team Reality

Onshore, offshore, nearshore, remote—modern teams span time zones and cultures. Here's what actually works.

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Project Management8 min read

Outcome-Based Delivery

Moving from hours billed to value delivered—why the shift is happening and how to make it work.

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Project Management9 min read

AI as the Newest Team Member

Your team now includes AI assistants. Managing them requires new skills—and a new understanding of what "team" means.

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Compliance

Trust translated into operating discipline.

Compliance8 min read

Why We Pursued ISO 27001

The decision to seek ISO 27001 certification wasn't about checking a box. It was about building a security culture that would scale with our growth.

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Compliance9 min read

SOC 2 Type 2: What It Really Means

Everyone claims to be "SOC 2 compliant." But the difference between Type 1 and Type 2—and between a report and actual security—matters more than most realize.

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CompliancePerspective

PCI DSS v4.0.1: Navigating the New Standard

The payment card security standard received its most significant update in years. Here's what changed, why it matters, and how we approached our transition.

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CompliancePerspective

Compliance as Competitive Advantage

How certifications open doors, build trust, and create genuine differentiation—lessons from three decades of serving regulated industries.

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