FIELD NOTES · CUSTOM SOLUTIONS · 12 POSTS

Custom Solutions

Every field note tagged custom solutions, grounded in shipped builds. See what we build, the delivered-build ledger, or the full Insights hub.

How to Choose an AI Development Company: 7 Questions to Ask Before You Hire
FIELD NOTE
AI
JUL 8, 2026 8 MIN

How to Choose an AI Development Company: 7 Questions to Ask Before You Hire

Most AI vendors sell decks; a few ship software. The seven questions that separate builders from deck-makers before you sign: from who codes to who owns it.

read the field note →
How Long Does It Take to Build an AI System?
FIELD NOTE
AI
JUL 7, 2026 6 MIN

How Long Does It Take to Build an AI System?

Most AI builds take 8 to 12 weeks; Finzarc ships a first production version in about three weeks. What sets the timeline, and what 'three weeks' really means.

read the field note →
How Much Does It Cost to Build a Custom AI System?
FIELD NOTE
AI
JUL 7, 2026 7 MIN

How Much Does It Cost to Build a Custom AI System?

AI build costs in 2026 run from ~$8k for a simple automation to $150k+ for multi-agent systems. What drives the number, and how Finzarc prices to the metric.

read the field note →
How Data Platforms Fail to Deliver Business Value and What to Build Instead
FIELD NOTE
Digital Transformation
JUN 23, 2026 11 MIN

How Data Platforms Fail to Deliver Business Value and What to Build Instead

Why data platforms fail to deliver business value, and what to build instead: ship one money-losing decision, not an 18-month platform.

read the field note →
Scaling LLM Applications Without Breaking Compliance
FIELD NOTE
AI
MAY 1, 2026 13 MIN

Scaling LLM Applications Without Breaking Compliance

Scaling LLM applications without breaking compliance: govern data, prompts, outputs and logs at the boundary, not after the audit fails.

read the field note →
How to Reduce GPU Costs in Enterprise AI Systems
FIELD NOTE
AI
APR 27, 2026 13 MIN

How to Reduce GPU Costs in Enterprise AI Systems

Cut GPU costs in enterprise AI by fixing idle utilization, right-sizing models, and taming inference: most of the bill is architecture, not hardware.

read the field note →
AI Infrastructure Mistakes That Kill ROI: What 2026 Research Shows
FIELD NOTE
AI
APR 24, 2026 15 MIN

AI Infrastructure Mistakes That Kill ROI: What 2026 Research Shows

AI infrastructure mistakes that kill ROI: over-building, starved data, and idle GPUs. What 2026 research says decides whether AI ever pays back.

read the field note →
6 AI Adoption Challenges Leaders Can’t Ignore in 2026
FIELD NOTE
AI
FEB 10, 2026 13 MIN

6 AI Adoption Challenges Leaders Can’t Ignore in 2026

AI adoption challenges in 2026: the six walls (talent, trust, data, integration, governance, ROI) that stall enterprise AI, and how to clear them.

read the field note →
Where AI Pilots Quietly Fail Inside Organizations
FIELD NOTE
AI
FEB 3, 2026 12 MIN

Where AI Pilots Quietly Fail Inside Organizations

Why AI pilots fail inside organizations: not in the demo, but in the handoffs, ownership gaps, and steering committees where they quietly dissolve.

read the field note →
Vendor Shortlisting in 2026: A Practical Checklist for Teams That Care About Execution
FIELD NOTE
AI
JAN 22, 2026 8 MIN

Vendor Shortlisting in 2026: A Practical Checklist for Teams That Care About Execution

AI vendor shortlisting in 2026: a practical checklist to tell builders from deck-makers before you sign anything.

read the field note →
Execution Speed Is Becoming the Real AI Advantage
FIELD NOTE
AI
JAN 3, 2026 7 MIN

Execution Speed Is Becoming the Real AI Advantage

Execution speed is the real AI advantage in 2026: models commoditized, shipping didn't. Fast production loops out-compound any model edge.

read the field note →
3 AI Breakthroughs Reshaping How Every Industry Operates in 2025
FIELD NOTE
AI
AUG 25, 2025 8 MIN

3 AI Breakthroughs Reshaping How Every Industry Operates in 2025

AI breakthroughs 2025: agents that act, reasoning models, and collapsing inference cost: the three shifts rewriting how industries operate.

read the field note →
READING IS RESEARCH. SHIPPING IS THE POINT

30 minutes with the founding team. Bring the problem; leave with a scope and a timeline.

Book a call →