symplii.aiField note

Field note

And that’s when everything broke

The model worked. The demo worked. Then the workflow met real data, permissions, exceptions, and accountability.

The lesson

Production failure is usually a systems problem

A useful model is only one participant in a workflow. Production systems also need ownership, bounded access, retries, exception handling, evidence, review, and a way to understand cost and quality.

What to design

Treat the workflow as the product

Boundaries

Define what the system may do and when a person must decide.

Evidence

Keep source context and action history beside the output.

Recovery

Assume tools, data, models, and handoffs will sometimes fail.

Measurement

Track outcomes rather than celebrating task completion.

Start a conversation

Bring us the workflow that matters.

We’ll help determine whether AI belongs in it and what responsible implementation requires.

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