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Production AI
Most AI work stalls between the demo and the day an operations team owns it. These posts cover that stretch: ownership, failure handling, enablement, and the unglamorous engineering a pilot skips.
Posts in Production AI
The pilot trap: why we start with a production workflow
AI pilots are useful for testing an idea, but many never become systems people use. We start with a small, well-defined workflow and build it with the requirements of production in mind.
Why we started RegainFlow: building the firm we wanted to work for
We started RegainFlow in January 2025 so that experienced engineers have a say in what they build, clients know who is building it, and good work holds up long after the engagement ends.
The AI ROI problem: what AI really costs
AI budgets often cover licenses and development but miss the work of integrating, maintaining and using the technology. Knowing the full cost is how you tell whether an investment will pay off.
Start with the opportunity
Bring us the opportunity.
We’ll help determine whether it is worth funding and what it will take.