How we run an AI fit-assessment before writing a single line of code
The fastest way to waste money on AI is to start with the model. We start with the workflow, the toil, and the number that has to move.
Start with the workflow, not the model
Now that Agentic AI is a co-equal pillar at VBix, every engagement starts with a structured AI fit-assessment — a short, honest look at where AI will pay off and where it will not.
Scoring each task: volume, repetition, cost of error
We map the workflow end to end, measure where the real toil and delay sit, and score each candidate task on three axes: volume, how repetitive the decision is, and the cost of being wrong. High volume plus repetitive plus low error-cost is where an agent wins today.
What you walk away with
You leave the assessment with a ranked shortlist, an honest "not yet" list, and an expected impact for each — before anyone commits to a build. Often the best first step is a Free PoC on the top-ranked workflow.
