Writing from the work itself.
Practical writing from inside the engagements, not vendor-speak, not survey-deck consultancy.
We write the way we work.
The pieces below are written by the people who do the work, drawn from real engagements and stripped of identifying detail. Opinionated practice notes, reference architectures, and the patterns we keep arriving at across sectors.
Written for practitioners and the executives who hire them. Read once, useful for a year.
Dashboards as decision systems, not decoration
Most executive dashboards fail not because the data is wrong, but because they answer the wrong question. A short tour of what changes when you start with the decision.
Read · 6 min
Where AI actually fits, and where it doesn’t (yet)
A practical lens for distinguishing the AI use cases that compound from the ones that quietly burn cycles. Drawn from work across regulated industries.
Read · 8 min
The shape of modern data platforms
A high-level blueprint for the data platform we keep recommending to mid-sized organizations, and the trade-offs behind each layer.
Read · 10 min
Semantic layers in practice: dbt, Cube, LookML
A side-by-side look at the three semantic-layer options we keep choosing between, and the constraints that push us toward each.
Read · 9 min
Designing evaluation harnesses for LLM workflows
How we structure regression suites for AI workflows so quality is measurable, not vibes-based. With concrete examples from regulated environments.
Read · 9 min
PII handling patterns for analytics platforms
A practical pattern library for tagging, masking, segregating and auditing PII across modern data stacks. The defaults we set, and why.
Read · 8 min
The data-product operating model, end to end
Roles, intake, SLAs, on-call. The operating model that survives the analyst attrition the firm forgot to plan for.
Read · 11 min
Shipping ML into regulated environments
What it actually takes to move a model from notebook to production inside SR 11-7, HIPAA or FedRAMP. The artifacts, the reviewers, the order.
Read · 10 minWhat we’re working on next.
A short preview of pieces in draft. They’ll land here when they’re ready, the bar is the same as anything else we publish.
What we learned shipping agentic AI in production
Tools, traces, checkpoints and the human-in-the-loop patterns that kept things honest in the first wave of real deployments.
When a lakehouse beats a warehouse, and when it doesn’t
A decision framework for picking the right shape. The questions we ask before either word gets used.
Model-risk reviews: shipping faster without skipping anything
The artifacts and sequencing that turn model-risk review from a quarterly bottleneck into a routine cadence.
Adoption instrumentation for analytics products
If you can’t see which decisions your dashboard is informing, you’re flying blind. The metrics we wire in by default.
Questions we hear, answered honestly.
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Continue to the practice.
Data & Analytics
Dashboards that change behavior, built around the decisions they need to inform.
ExploreApplied AI
LLM workflows and document intelligence applied where they remove real friction.
Explore
How we work
A short tour of the operating principles behind our engagements.
ExploreHave a problem worth solving?
Whether you’re scoping a new initiative, modernizing analytics, or evaluating where AI actually fits, we’d be glad to talk.