added more process info to FAM project

This commit is contained in:
Hunter W.
2026-06-15 20:52:49 -04:00
parent bbd49c628e
commit 7e2daca035
2 changed files with 11 additions and 4 deletions

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@@ -153,7 +153,7 @@ Most organizations at such scale aren't going to have a single agent handling an
</a>
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With or without the additional help, at scale, little variances in the amount of time spent in every component of an interaction while
With or without the additional help at scale little variances in the amount of time spent in every component of an interaction while
completing tasks and exchanging information might have a very high cumulative impact on a business' ability to scale operation to bursts in demand.
FAM supports breaking these interactions down into streamlined, consistent, efficient, repeatable, and flexible
@@ -178,10 +178,17 @@ workflows.
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There is a minimum amount of time that it takes an agent to complete a task in a UI and a reasonable maximum amount of time that might
be spent on the same task in the same UI. This variance could be blamed on various factors, but it's mostly just input errors or mistakes in procedure.
There is a minimum amount of time that it takes an agent to complete a task in a UI, on average, and a reasonable maximum amount of time that might
be spent on the same task in the same UI, on average.
FAM tries to reduce the amount of time lost to mistakes and the overall interaction duration without reducing the quality of the interaction
<blockquote>
<a target="_blank" href="/img/projects/fam/variables.png">
<img src="/img/projects/fam/variables.png" alt="A workflow may allow traversal between steps." width="800"/>
</a>
</blockquote>
FAM targets these little variances. By doing this, FAM reduces the amount of time lost to mistakes and the overall interaction duration without reducing the quality of the interaction
through purpose-built UX-first guided workflows.
Task identification from business analysis are made into functional workflows that support reducing the time taken to complete tasks while also addressing the variability in

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