What UNSU brings
- A 60-minute preparation call
- Four two-hour live sessions
- The same practice tested in ChatGPT and Gemini
- Failure tests and human review
- An editable team library
PRIVATE PROGRAM / UP TO FIVE PEOPLE
Your team can learn AI through the work already in front of them.
Bring one task your team knows well. Across four live sessions, we work with your own files, build up to two prototypes and teach the team how to test, correct and reuse them.
8 Hlive
4sessions
5people maximum
2prototypes maximum
FROM A USEFUL PROMPT TO A TEAM PRACTICE
A good result in one chat should be useful to the rest of the team.
A person may discover how to summarize a meeting, review a spreadsheet or prepare a recurring document with AI. If the sources, instructions, corrections and judgment disappear, everyone else starts again.
We preserve what worked: approved files, business rules, difficult cases, the expected output and the person responsible for accepting it.
OUR METHOD / ONE REAL BUSINESS PROCESS
We build the practice around the way your team actually works.
What your team brings
- The files and examples it really uses
- Terms, fields and units that cannot change
- Known exceptions
- The people who prepare and approve the work
- Examples of acceptable and unacceptable results
BEFORE SESSION ONE
Show us where work still piles up. That is where we start.
In a 60-minute conversation, we review three candidate tasks and choose one the team understands well enough to build and test. Common starting points include meeting follow-up, recurring Word documents, Excel or Sheets reviews, Drive research and administrative intake.
Input
The email, file or message that starts the work.
Rules
The decisions, fields and units the output must respect.
Test
Normal cases, incomplete information and real exceptions.
Handoff
Who runs it, who reviews it and where it gets updated.
CHATGPT OR GEMINI
Your team tests the same case in both environments before choosing.
Both receive the same approved sources, decisions and example of a good result. The team compares what each environment understands, where the context should live and who will be able to maintain it.
THE TEAM BUILDS WHILE IT LEARNS
Four sessions turn a familiar task into a repeatable practice.
SESSION 01
Show us how it works today
We trace the full process and surface decisions that currently live in one person's memory.
SESSION 02
Teach it to the AI
The team assembles sources and rules, then runs a familiar case and reviews what the tool understood.
SESSION 03
Find where it fails
We test incomplete inputs, different formats and real exceptions, then correct the practice.
SESSION 04
Put the team in control
The team runs the practice without us and learns where to change it as the business changes.
WHAT STAYS WITH YOUR BUSINESS
The files, tests and instructions remain open to the team.
Source folder
Approved files and examples used in the exercises.
Configured workspaces
Instructions, terminology, fields and limits in the selected environment.
Practice sheets
Inputs, rules, expected output and human reviewer for each practice.
Opportunity map
Other reviewed processes and what may be worth working on next.
Up to two editable prototypes
Practices the team can correct and run again with a new case.
Operating guide and clinic
Maintenance instructions and one 60-minute follow-up clinic.
INVESTMENT / UP TO FIVE PEOPLE
$28,000 MXN + VAT
Includes the preparation call, eight live hours, exercises based on company work, up to two editable prototypes and one 60-minute clinic. Current total including VAT: $32,480 MXN.
Payment schedule: 30% to reserve the date, 35% after session two and 35% before session four. Licenses the team keeps afterward are paid separately. The proposal confirms scope before work begins.
Review a task with UNSU ↗COMMON QUESTIONS
What teams usually ask before they begin.
Can the team join with little AI experience?
Yes. We start with work the team already knows and teach the tool through that case.
What information do we share?
You decide which files we may use. We can create a representative example when material cannot leave your environment.
Will the whole company be automated?
No. This program handles bounded practices and leaves up to two prototypes. Full automation requires a separate scope and risk review.
Do you guarantee savings?
No. We measure each practice by time, corrections and whether the responsible person accepts the output. We report only what the group can demonstrate.