Where AI automation actually pays: choosing your first process
Most companies pick the process that annoys them most rather than the one that costs the most. Those are rarely the same thing.
Practical engineering write-ups on AI automation, agents, SaaS architecture, FastAPI, Flutter, enterprise modernisation and ERP rollouts. No thought leadership, no listicles — just what we've learned building these systems for clients.
Most companies pick the process that annoys them most rather than the one that costs the most. Those are rarely the same thing.
An agent demo takes an afternoon. An agent you'd let touch a customer record takes considerably longer — and almost none of the extra work is prompt engineering.
Cheapest to make on day one, most expensive to change on day four hundred. Here's how to choose, and what breaks at tenant fifty.
The framework makes the first endpoint delightful. The fiftieth is a question of discipline — these are the decisions that matter.
The framework choice is rarely the expensive part. Offline sync, push infrastructure and store review are.
The replacement project has a poor track record, and the reasons are structural rather than technical. Here's the alternative.
ERP projects rarely fail technically. They fail when half the organisation is still using the old spreadsheet six months later.
"Build an MVP" means two incompatible things depending on who says it. Projects go wrong in the gap.
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