IT & AI engineering for US businesses · 16 practices
Insights · 8 articles

Notes from the work.

Short, practical pieces written by the people doing the delivery. No thought leadership, no gated PDFs.

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Why your AI pilot never reached production

The demo worked. The rollout stalled. Almost always it's one of four things — no evaluation set, no owner, no data access path, or no cost ceiling. Here's how we de-risk each one before writing code.

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Build the warehouse before you buy the model

The fastest route to a working AI feature usually runs through six weeks of unglamorous data work. What we check before agreeing to an AI engagement at all.

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Microsoft 365 Copilot readiness: the permissions problem nobody mentions

Copilot inherits your sharing model. If SharePoint permissions have drifted for a decade, it'll happily surface that drift to everyone. A practical pre-rollout checklist.

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Deployment frequency is a business metric

Teams that deploy daily change their minds cheaply. Teams that deploy quarterly commit to guesses. How to move from one to the other without a platform rewrite.

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SOC 2 in a quarter: what actually blocks readiness

Most delays come down to missing MFA on admin accounts, no access reviews, and change management that exists only in people's heads. A realistic 12-week path for a team without a security specialist.

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Reading a cloud bill properly — a 90-minute audit

Idle environments, oversized instances, forgotten snapshots and egress you never modeled. The four line items that account for most avoidable cloud spend, and how to check yours today.

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Flutter or native in 2026? An honest decision tree

Cross-platform is the right default for most business apps — and the wrong one for a few specific cases. The questions we ask before recommending either.

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Buy, build, or configure: a framework for the middle option

The interesting answer is rarely at either extreme. How to judge whether a configured platform beats bespoke software for your process — before you commit a budget.

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