Long-form essays from the engineers shipping AI inside payers, hospitals, energy operators and proptech platforms. Written for technology leaders who care more about what runs in production than what trended last week.
In fintech the build vs buy question includes controls and evidence. Buying the portal is usually right; the golden paths, approvals, and audit trail are always yours to build.
Retail engineering runs on a seasonal clock. Buy the portal, build the golden paths, and time the whole programme so nothing lands near peak trading.
A Buyer's Guide to AI audit trails helps enterprise leaders connect decision reconstruction, retrieval capture, version pinning, retention, and human action logging to a trail that answers the question someone will ask. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Dynamic Pricing AI helps enterprise leaders connect price elasticity modelling, constraint design, fairness boundaries, explainability, and customer perception to optimization that survives public scrutiny. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Shadow deployment for models helps CTO / Head of AI leaders connect traffic mirroring, input parity, output capture, comparison metrics, and privacy and cost controls to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Automating a runbook nobody has written down encodes a guess. Write it, run it manually until it is boring, then automate the boring part and keep the judgement with a human.
A Buyer's Guide to Schema evolution helps CDO / VP Data leaders connect compatibility model, versioning, consumer discovery, deprecation policy, and migration evidence to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A four-hour dbt run is fine in March and a problem in November. Build for peak: incremental models that survive restatements, tests on business rules, and CI that finishes.
A Buyer's Guide to Point-in-time correctness helps CTO / Head of AI leaders connect decision timestamp, source event time, availability time, historical joins, and validation and leakage tests to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Warehouse Cost Optimization helps SaaS data teams connect query attribution, model pruning, warehouse sizing, materialisation choices, and consumer accountability to the spend nobody owns. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Agent spend controls helps engineering leaders connect per-task caps, loop detection, retry multipliers, attribution, and hard stops to cost limits that bind before the month ends. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Third-party model risk helps enterprise leaders connect model substitution rights, subprocessor chains, change notification, evaluation continuity, and exit paths to vendor risk that survives the vendor changing the model. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
AI governance operating models Under Audit helps enterprise leaders connect coverage reconciliation, population discovery, exception records, decision evidence, and operating effectiveness to governance that survives a completeness test. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
In fintech, automated remediation has to fix the symptom without hiding the defect or breaking the audit trail. Narrow, verified, rate-limited loops are what earn trust here.
A Buyer's Guide to Service mesh for AI workloads helps VP Engineering / Head of Infrastructure leaders connect workload identity, traffic policy, retries and timeouts, observability, and failure isolation to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Event-driven architecture helps VP Engineering / Head of Infrastructure leaders connect event contracts, delivery semantics, ordering, state and replay, and ownership and observability to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
In energy, runbooks carry regulatory steps and stop at the OT boundary. Write the procedure, prove it manually, automate the diagnostics, and keep every judgement call with a person.
A Buyer's Guide to Acceptance criteria for probabilistic output helps CTO / Head of AI leaders connect task definition, quality dimensions, tolerance bands, failure taxonomy, and escalation and release gates to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Multi-Region Architecture helps hospitality engineering teams connect booking availability, data residency, property proximity, failover testing, and cost to the always-on expectation guests actually have. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
AI Agent ROI helps enterprise leaders connect per-task cost, verification burden, failure handling cost, volume assumptions, and retry behaviour to unit economics that hold at production scale. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Inference autoscaling helps VP Engineering / Head of Infrastructure leaders connect scaling signal, warm capacity, queue policy, scale-up mechanics, and scale-down safety to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Driver-Based Planning helps finance leaders connect driver selection, relationship validation, ownership, model maintenance, and decision linkage to plans built on levers the business can actually move. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
AI Financial Forecasting helps finance leaders connect input quality, bias correction, granularity, judgement overlays, and accuracy attribution to gains that come from process rather than method. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
AI Scenario Planning helps finance leaders connect scenario selection, correlated shocks, decision triggers, plausibility discipline, and pre-committed responses to stress tests that change what the business does. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
One long-form essay every other Wednesday. Written by the engineers shipping production AI for our clients, not by a content team. No promotional emails. Unsubscribe in one click.
