Baseline
Time, cost, volume and quality before implementation.
Business AI / outcome before model
Do not implement AI. Improve a process with AI.
A useful AI implementation starts with an expensive, repeatable process and a measurable outcome. The model is one component of the solution, not the strategy.
Assess an AI use caseShort answer
Select a frequent process with enough representative examples. Establish its baseline cost, define minimum acceptable quality, run a bounded pilot with human oversight and scale only after proving business value.
Starting point
A strong first process has five qualities.
- 01It occurs frequently and consumes measurable time.
- 02A business owner is accountable for the outcome.
- 03Representative inputs and correct outputs exist.
- 04Quality can be evaluated before customer impact.
- 05Errors can be intercepted or escalated to a person.
Pilot
Five investment gates.
Data
Access, quality, ownership, privacy and security.
Evaluation
A test set and explicit criteria for a correct result.
Pilot
A bounded workflow, human oversight and a clear budget limit.
Scale
A decision based on value, risk and full maintenance cost.
Guides
FAQ
Common questions.
- Where should a company start with AI implementation?
- Choose a frequent, measurable process with a clear business owner. Establish baseline cost and quality criteria before selecting a model or vendor.
- How do you evaluate the ROI of an AI implementation?
- Compare the value of saved time, better quality, increased capacity or additional revenue with the full cost of data, integration, models, evaluation, human oversight and maintenance.
- Does a company need its own AI model?
- Usually not at the beginning. A custom model becomes relevant when the advantage depends on proprietary data, control or scale that existing solutions cannot provide.
Next step
Have a process that may benefit from AI?
We will start with baseline cost, available data and quality criteria. If the case does not justify implementation, you should know before investing.
Assess the use case