Strategy, ROI &amp; Build vs Buy

Most teams should buy before they build, but not always. A decision framework for AI tooling, workflow automation, RAG, agents, privacy, integration depth, total cost, and strategic differentiation.

Build vs buy AI systems: the practical decision framework

Decide when to buy, configure, extend, or build an AI system based on workflow fit, data control, cost, capability, and strategic value.

9 min read

AI adoption should not be measured by how many people tried ChatGPT. A practical framework for measuring workflow ROI, quality, risk, maturity, and scale-readiness.

AI ROI and maturity: how to measure adoption that actually works

Measure AI adoption using workflow ROI, quality, risk controls, and maturity levels instead of tool usage vanity metrics.

13 min read

LLM-powered products face economics that are harder than traditional SaaS. Variable costs that scale with usage, margins squeezed by inference, commoditization risk, and competitors with the same foundation models. How to build a product that's actually defensible — and the patterns that lead to LLM

Shipping an LLM product: pricing, margins, and the anti-moat trap

Use the article as decision context for adoption, risk, governance, or investment choices.

Propeller Consulting. Discusses governance, operating discipline, workforce adoption and ROI measurement as connected parts of scaling AI beyond experiments. That fits the article's maturity model because adoption is treated as changed work with owners and metrics, not as tool usage or workshop attendance.

From Hype to Habit: How Tech Companies Are Scaling AI Beyond the Experimental

41 minutes

World Wide Technology. Connects build-or-buy choices to business outcomes, workload placement, cloud economics, data sovereignty, security, infrastructure readiness and hybrid operating models. That makes it a useful strategic companion for deciding when to buy a tool, extend a platform, build a thin custom layer or own more of the deployment stack.

Private AI vs. Cloud: How Enterprise Leaders Can Make Smarter Build-or-Buy Decisions

37 minutes

Tech Field Day. Shows private AI as layered infrastructure: controlled compute, isolated environments, Kubernetes, inference containers, model governance, self-service provisioning, GPU sharing and monitoring. That maps directly to the article's warning that privacy depends on deployment boundaries, logs, access and operations, not on the word "local."

VMware Private AI Foundation Capabilities and Features Update from Broadcom

33 minutes

GOTO Conferences. Connects the EU AI Act to data quality, MLOps, documentation and post-deployment monitoring. That makes it a good companion for the article's SME governance baseline: the work starts with knowing the system, data, owner, purpose and controls, not with buying a compliance platform.

The AI Engineer's Guide to Surviving the EU AI Act

10 min read

Private AI is not one architecture. A practical comparison of local models, enterprise SaaS, VPC deployments, self-hosted inference, and hybrid patterns for SMEs that care about privacy and control.

Private AI deployment patterns: local, VPC, self-hosted, and hybrid

Choose a private AI deployment pattern based on data sensitivity, capability needs, cost, latency, and operational capacity.

9 min read

The EU AI Act is not just a legal problem for large vendors. A practical SME plan for inventory, risk classification, human oversight, transparency, vendor records, and rollout discipline.

EU AI Act for SMEs: a practical governance plan

Create a practical AI governance baseline for an SME using AI tools, automations, or customer-facing systems in the EU.

42 minutes

Y Combinator. The Lightcone hosts work through why vertical AI agents — not horizontal wrappers — are the defensible shape for application-layer companies, with concrete examples and a clear-eyed take on which categories the model providers will eat. That is the anti-moat trap the article warns about, expressed as a positive playbook.

Vertical AI Agents Could Be 10X Bigger Than SaaS

34 minutes

Sequoia Capital. Bret Taylor walks through the shift from per-seat SaaS to outcomes-based pricing — what to anchor on (resolution, CSAT, NPS), why incumbents struggle to follow, and how vertical specialisation creates pricing power. It directly mirrors the article's pricing and margin sections.

How AI is Reinventing Software Business Models ft. Bret Taylor of Sierra