The blog
Engineering notes from a productized firm
Plain-English writing on AI-paired delivery, SaaS rebuild economics, regulated-industry architecture, and the operating model behind productized engineering. 33 posts. New writing roughly every 2–3 weeks.
Harvey AI alternatives: when DIY beats enterprise legal AI
A practical comparison of Harvey AI vs a custom legal-AI rebuild, with the math behind the decision.
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UAE digital transformation: where to start
UAE buyers want speed, not slideware. The opening engagement that consistently gets traction.
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AI agents in regulated industries: HIPAA / MAS / DPDP guardrails
Practical guardrails for shipping AI agents into HIPAA, MAS, DPDP, and FCA-regulated workflows.
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US enterprise procurement: what mid-market sellers miss
The five questions in every US enterprise procurement playbook that mid-market vendors fail.
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New Zealand SaaS: market entry from the APAC playbook
How NZ SaaS companies use APAC as the proving ground before US market entry.
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B2B SaaS scaling: $1M to $10M ARR engineering choices
The architecture choices that separate companies that ship the next 9× from companies that stall.
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Stack rationalisation: an executive brief
A short, board-ready brief on how to rationalise a sprawling SaaS stack without breaking workflows.
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Mobile-first MVPs: a fixed-price playbook
How to ship a credible mobile-first MVP in 12 weeks at a fixed price you can defend to a board.
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Salesforce sunset: when to renegotiate vs rebuild
A decision framework for when the Salesforce renewal conversation should become a rebuild conversation.
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Agent observability: instrumenting LLM workflows in production
When an LLM is your workflow, traces, evals, and rollback are non-negotiable.
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AI Pod for non-AI organisations: a 12-week reset
How traditional businesses get production AI without rebuilding the org chart.
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Healthcare HIPAA platforms: an architecture brief
PHI segregation, audit logging, BAA-in-the-loop processors. A 2026 architecture brief.
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K-12 ed-tech: multi-tenant analytics that actually scales
Per-district isolation, COPPA / FERPA / DPDP overlays, and the data model that survives Year 3.
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Designing Compliant Data Products: A Strategic Guide for Business Leaders
Privacy-first design as competitive advantage — 20-40% conversion lift, higher exit multiples.
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ASX-aligned D2C brands: the compliance & cost story
Privacy Act 1988, Consumer Data Right, and the cost discipline ASX-listed D2C brands now operate under.
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DPDP 101: What Indian Businesses Must Know in 2026
Comprehensive guide to India's DPDP Act — penalties, compliance principles, and a 90-day action plan.
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MAS-aligned fintech in Singapore: the architecture conversation
Outsourcing guidelines, TRMG, and the architecture decisions a Singapore wealth-tech CTO must make.
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UK enterprise procurement after Brexit: what changed
Data residency, GDPR-UK divergence, and the procurement questions UK enterprise buyers now ask.
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Sharing Data With Vendors Via APIs Under DPDP
Defense-in-depth API security architecture for DPDP-compliant vendor integrations.
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Agents in production: when LLM workflows replace integrations
When the integration cost exceeds the workflow value, agents become the cheaper option.
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FMCG D2C: the analytics rebuild that pays in 6 months
Klaviyo + Mixpanel + Segment + Shopify Plus add up fast. The rebuild ROI is now under 12 months.
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Build vs buy in 2026: the new economics
AI-paired delivery has changed the build-vs-buy math. Here's how to think about it now.
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Run a stack audit before you refactor anything
Refactoring without an audit is treatment without diagnosis. The audit pays for itself.
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The hidden cost of stack sprawl: a Datadog rebuild walkthrough
When observability tooling costs more than the systems it monitors, it's time to rebuild.
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Replacing Harvey AI: an AmLaw 200 case file
$686K reclaimed in 11 weeks. Same workflow at <5% of the cost on direct AWS / Anthropic billing.
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Per-seat SaaS math is broken: when pricing stops scaling
When you're paying $1.2K/seat/mo for a tool 15–25% of your team uses, the math has stopped working.
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AI Pod vs hiring an ML team: a CTO decision tree
When to embed an AI Pod, when to hire FTEs, when to do both. A practical framework.
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How AI-paired delivery delivers 3–5× throughput on well-defined work
Senior engineers paired with AI ship faster on well-scoped problems. Here's the pattern.
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Five outcome-bundled service lines: how we organise engineering work
Build / Upstream / AI Pod / Agents / Strategy. Each is a container, not a task list.
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Your code, your repo, your cloud — from day one
IP ownership shouldn't be a hostage negotiation at the end of an engagement.
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When fixed-price beats time-and-materials
T&M optimises for the vendor. Fixed-price aligns vendor and client around the same outcome.
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The productized engineering firm: an operating model
Five outcome-bundled service lines. Fixed scope, fixed price, senior-engineer-led delivery.
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Why we don't sell hours anymore
Selling hours misaligns engineering and outcomes. Here's the operating model we use instead.
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