Most AI automation lists describe enterprise software you cannot buy. This one describes seven jobs a 5 to 50 person business actually does every week, with what each automation does, what you need to run it, a difficulty rating, a build time, and a cost estimate. The estimates are labeled as estimates. The published prices are published.
One rule before the list: an automation is only worth building on work that repeats. If the task happens once, use a chat window. If it happens every week with a clear definition of done, it is a candidate. That rule comes from the repeated work note and it filters out most bad AI ideas for free.
1. Document search across your own files
What it does: you ask a question in plain language, it answers from your own documents with the source cited. "What did we promise this client about delivery windows?" gets the answer from the contract, not the open internet.
Difficulty: easy. Hardware: a normal office computer for document sets up to a few thousand files; a $1,400 mini-PC for larger ones. Build time: a weekend for a basic version. Cost estimate: $0 in software if you self-host an open tool, or $450 to $650 installed through a Local AI Setup. This is the standard first workflow because it touches private files that should not be pasted into a consumer chat, and it works.
2. Bilingual email drafting
What it does: drafts routine email in your voice in English and Spanish, so one person handles both without a translation service in the loop.
Difficulty: easy. Hardware: the computer you already own. Build time: a day, mostly spent writing down your standard replies once. Cost estimate: a $25 per month subscription covers this if the content is not sensitive; a local setup covers it free per use if it is. One warning: bilingual operations are not translation after the fact. Drafting in two languages works when the facts and the approval path are shared, not when one side translates the other's decisions.
3. Invoice data extraction
What it does: reads invoices and receipts that arrive by email or scan, and pulls vendor, date, amount, and category into a spreadsheet. You check the rows, you stop typing them.
Difficulty: medium. The extraction is easy; the edge cases, like a handwritten receipt or two invoices in one PDF, are where the work is. Hardware: any recent computer. Build time: one to two weeks including testing against a sample of your real invoices. Cost estimate: $0 in software with open tools, or a few hours of implementation time. Keep a human checking the output weekly. Extraction errors are cheap to catch in a spreadsheet and expensive to catch in a tax filing.
4. Meeting notes to action items
What it does: takes the raw transcript or notes and produces decisions made, action items with owners, and open questions, in a consistent format everyone recognizes.
Difficulty: easy to medium. Hardware: any computer, or the meeting platform's own transcription. Build time: a day to set the output format, then it runs per meeting. Cost estimate: $0 with open tooling, or included in a subscription if the meetings are not confidential. The local version matters for anything with client strategy or personnel matters in it. The output is a draft for review, never an automatic send, under the owner approval rule.
5. Customer FAQ built from your actual documents
What it does: an internal assistant that answers staff questions from your policies, service descriptions, and past replies, so the third person to ask "what is our policy on rush jobs" this week gets the same answer as the first.
Difficulty: medium. Not because the tech is hard, because the source documents have to be current. An FAQ built on a stale policy page is confidently wrong. Hardware: office computer or mini-PC. Build time: one to two weeks, half of it cleaning the source documents. Cost estimate: $0 in software, or $1,250 for a Private AI Workbench installed against real repeated work with templates.
6. Code review for small dev teams
What it does: a first-pass review on every pull request, catching the mechanical issues, naming, missing tests, obvious bugs, before a human looks at the parts that need judgment.
Difficulty: medium. Hardware: this is where the $1,400 mini-PC earns its keep, because review runs constantly. Build time: a week to wire into your repository flow. Cost estimate: $0 in software. This one is measured, not assumed: the public delegation-bench results include a 93 percent HumanEval score on exactly that class of hardware, with the method and raw logs published. A two-developer team gets most of the value of a third reviewer for the cost of a computer.
7. Report generation from spreadsheets
What it does: turns the weekly numbers, sales, pipeline, hours, whatever you track, into a written report with the standing commentary sections filled in, ready for your edits instead of your blank page.
Difficulty: medium. Hardware: any computer. Build time: one week, most of it defining the report template so the output is boring in the right way. Cost estimate: $0 in software. The trap is skipping the template and asking for "a report" fresh each week, which produces a new surprise every time. The automation is the fixed format, not the improvisation.
How to pick your first one
Do not pick the most impressive one. Pick using three questions:
- Which of these happens most often in a normal week?
- Which one has output a human will actually check before it counts?
- Which one touches private data that should stay on your machines?
Number one is frequency, number two is safety, number three decides local versus cloud. The intersection of the three is almost always document search or meeting notes, which is why those two anchor the PuenteWorks service paths.
And if none of the seven matches a weekly job in your business, believe that result. A month with no AI in it is cheaper than a month spent automating something that happens twice a year.
FAQ
Do these need a programmer?
Not for the easy tier, if you are comfortable installing software. The medium tier needs either patience or a few hours of help. The point of difficulty ratings is that you can start on the easy tier this month without hiring anyone.
What does the hardware really cost?
Most of these run on a computer you already own. The $1,400 mini-PC is for constant or heavy use, like the code review example, and it is a one-time purchase that stays yours. Published pricing context is in the AI cost breakdown.
Which one pays back fastest?
Estimate, not promise: invoice extraction and meeting notes, because the time they replace is easy to measure. Measure the hours before you build, and you will know the real answer for your business instead of trusting this paragraph.