Business ·
The cost of AI implementation begins with the cost of an error
AI implementation cannot be priced from a model subscription alone. Most cost appears around the model: understanding the process, preparing data, connecting systems, setting boundaries, validating quality and operating the result. The higher the cost of error, the more work is needed before an automatic action.
Estimation begins with the process
Measure repeated work, employee time, exceptions and failure consequences. “Implement AI in sales” is too broad; “classify incoming enquiries and propose a route” can be tested.
A short diagnosis reveals whether the problem needs information analysis or is actually caused by inconsistent rules and missing integrations.
Data may become the largest cost
Documents need collection, cleaning, access separation and ownership. Classification and extraction require examples and reference answers. A more expensive model cannot repair an unreliable source.
Cost rises when knowledge lives in email and people’s memory, formats change constantly or the chosen environment lacks a lawful basis for using the data.
Integration turns a demo into a tool
A prototype may process a manually uploaded file. A working system receives it from email or CRM, checks access, returns the result, survives failure and avoids duplicates on retry.
Every source and action adds APIs, authentication, error handling, monitoring and change maintenance. This often shapes delivery time more than prompt configuration.
Model usage creates variable cost
Price follows input and output volume, request count, chosen model, retained context and tools. Speech, images and long documents use different units.
Calculate the cost of one successfully completed operation rather than one call. Retries, validation and human correction belong in the economics of the result.
Controls follow risk
An employee review may be enough for an internal draft. Decisions affecting money, contracts or clients need reference tests, logs, approval and rollback.
Broader agent permissions make safe operation more expensive. A limited role usually reaches value sooner because it is easier to measure and accept.
A pilot should answer an economic question
A pilot estimate includes diagnosis, prototype, a limited integration, testing and measurement. Establish current time, quality and operation cost before comparing the new process.
Within the Method, I propose buying knowledge about the task first: test a narrow working boundary and the cost of error. The scaling budget then rests on observed evidence rather than a promise that AI will automatically make the whole business cheaper.
AI for a specific process
If you are considering AI implementation, we can start with the process, available data, automation boundaries and a way to assess the result.