Ideas that move enterprise forward.
Research, case studies, and field notes from two decades of building production systems for industry and government. Outcome-led, pattern-rich, written by the practice — not the marketing team.
Practice notes, not content filler.
Spring 2026 reading list.
Six pieces hand-picked by practice leads for teams building, buying or governing production AI.
Choosing the right AI consulting partner.
A practical framework for evaluating partners on outcomes, governance and production readiness.
Agentic AI for business automation
When AI moves from copilot to autonomous operator.
Case studyCatalogues turned into intelligence
A multi-year unstructured-records problem solved.
Report — 24.022026 enterprise AI readiness
Benchmark data from 250+ enterprises.
EngineeringProduct engineering, redrawn
How practice changes when AI is in the loop.
GovernanceProduction AI governance
Why frameworks fail when they avoid operating realities.
BrowseThe full archive
See the latest blogs, case studies and field notes.
Blogs & case studies.
3D nickel mine mapping and analysis
Drone and spatial data from a nickel mining operation was converted into 3D terrain models, volumetric intelligence and engineering-ready outputs for monitoring and site management.
What to automate first when every team wants AI.
A practical prioritization model for leaders choosing between backlog reduction, customer service, data operations and internal productivity requests.
Action-centric annotation for sports AI
Sports analytics footage was converted into frame-accurate training data so computer vision teams could improve player detection and action models without building a large in-house labeling operation.
LiDAR services for infrastructure and smart cities.
How point clouds become operational intelligence for transport, utilities, flood planning and civic asset management.
Advanced LiDAR classification across the Rhineland
High-density LiDAR data across Germany was classified into terrain, vegetation, powerline, mast, vehicle and underground feature classes for engineering and municipal use.
Choosing the right AI consulting company.
A practical framework for evaluating AI partners on outcomes, governance, delivery accountability and production readiness.
AI-powered historical research for UC Berkeley
Fragile maritime records and historical manuscripts were converted into structured research data for academic analysis and migration-history research.
Progressive web applications for the enterprise.
Where PWAs improve enterprise frontends and where teams still need native, platform or security tradeoff analysis.
AI-powered image editing for e-commerce and real estate
High-volume product and property images were processed through AI-assisted editing workflows to improve turnaround, visual consistency and online presentation quality.
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Recent field notes.
Choosing the right AI consulting partner.
A framework for evaluating partners on outcome, governance, and production readiness.
Read · 12 min →Agentic AI for business automation.
What changes when AI moves from copilot to autonomous operator inside the enterprise.
Read · 8 min →The product engineering lifecycle, redrawn.
How engineering practice changes when AI is in the workflow, not in a sidebar.
Read · 9 min →The 2026 enterprise AI readiness report.
Benchmark data from 250+ enterprises on AI maturity, governance, and operating readiness.
Read · 24 min →Governance for production AI, in plain language.
Why most AI governance frameworks don't survive contact with production — and what does.
Read · 6 min →How we review AI-generated code.
The actual checklist our principals use — adversarial verification, suppression, and trust gates.
Read · 7 min →Talk to an
expert.
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