Vietnamese Businesses Are Using More AI. Measuring Value Is the Hard Part.

Move from trying tools to solving one real job

Reporting from AWS Cloud & AI Day 2026 suggests that AI use among Vietnamese businesses is growing fast, while many deployments remain exploratory. That is promising, but a company using chat tools is not automatically running a better process.

A useful pilot starts with an ordinary question: how long does the team spend sorting quote requests, finding a contract clause or summarising customer calls? Pick a job with a clear start and finish, not a broad objective such as “bring AI into the company”.

Before the pilot, capture the old baseline for a week: volume, minutes per case, rework and the person who approves the outcome. That is what makes later comparison honest.

AI is not short of capability. Businesses need a clear enough job to test whether it performs better than the old way.

Four measures before discussing ROI

A small workflow does not need a complicated scorecard. Track handling time, completion without rework, cases escalated to a person and the cost of operating the system. If AI is faster but creates more corrections, the speed is not value.

NIST recommends managing AI risk through the lifecycle rather than only when a tool is purchased. For a smaller company, that can start with a clear list: which data is allowed, who can use it, which decisions AI cannot make and which logs must remain available.

After four to six weeks, a decision meeting should answer three questions: did results improve on the baseline, what risks appeared, and what does ongoing operation cost? Scaling, correcting or stopping are all valid decisions when evidence leads.

Do not make AI another layer of work

Teams often stall when AI is added beside the old workflow. People still fill the original form, copy the data into a new tool and check every line afterwards. The technology has only moved the effort.

A better design maps the whole flow: where data starts, who receives an output, where exceptions return and where a person must confirm. Friday Works begins with that operating flow before choosing a model, platform or interface.