Agentic Workflow

Results and ROI

Hours, baht, turnaround, error rate — your own numbers

We measure four things — from real data, not from how it feels

Before we start we time the current work as a baseline. After that every number comes from the system's own logs, and you can open them every month.

metric 1 / 4 · Hours given back to the team

Hours per month — job count × the per-job time measured before we started

Hours / month

Hours given back to the team

From job volume × the per-job time measured before we started

THB / month

Cost taken out

Hours returned × the real wage for that role + the cost of what you missed

Turnaround time

From job in to job out

A quote, for example, from 2 hrs down to 6 min

% errors

Work sent back for rework

Counted from what people send back, not from a score the AI gives itself

What the report you get every month looks like

A short summary on LINE, plus a workflow-by-workflow table of what pays and what to tune or stop

Monthly summary on LINEOn the 1st
KMonthly results report
This month gave the team back 168 hrs, about THB 58,000 · quotes average 6 min (was 2 hrs) · work sent back 3.1% (4.4% last month)

Suggestion for next month

The “review replies” workflow is used less than expected — pause it and put the time into “receipts into the books”, which pays back better

Mock sample — names and numbers are made up. The real one follows your business.

Workflow by workflowMock sample
Quote from chat62 hrs/month
Receipts into the books48 hrs/month
Morning exec report31 hrs/month
Review and comment replies9 hrs/month

A longer bar means more time returned · anything short several months running we will suggest stopping, not leaving it there to look good

Three things have to be true for these numbers to hold

We say it up front: miss any one of them and the numbers are only an estimate

A baseline before we start

Measure how long the current work takes, how often it runs each month, and who does it — 1-2 days during the Audit

Logs you can check

Every job the AI runs and every approval leaves a trail — you can go back and see who clicked what, and when

Your people actually use it

If the team does not use it, nothing moves — so we always train and follow up through the first 30 days

Want to see what that log actually looks like? Open the job table in the live system Every row shows which agent did it, which channel it came in on, which model it used and what it cost (sample data, no login).

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Want to know whether this fits your business? Book a free 30-minute call

No cost, no commitment — tell us how the work really runs and we will point out where starting pays off most

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