Where should my company use AI?
We identify opportunities tied to your real processes, sales, operations, support, and data, then tell you which ones are worth pursuing and which are not.
Decide where to use AI with judgment.
Before you invest, we define where AI truly applies, what risk your data carries, and whether you should build, buy, or integrate.
What you ask before investing.
We ground every decision in your business context.
How long until I see something concrete?
Between 2 and 4 weeks. You leave with a prioritized plan and quick improvements ready to test from the first week.
What happens with sensitive data?
We define what information can go into each tool or model according to your sector and regulation, with clear limits from the design stage.
You need guidance, not more experiments.
If several of these sound familiar, the bottleneck is not technical. It is judgment.
We already use AI, but we do not know if we use it well
There are tools, internal chats, or licenses, but nobody can explain impact, risk, or the next step with numbers.
We want to start, but we do not know where
The team tests new tools and demos, but does not get clarity.
Processes could improve, but priorities are unclear
Old systems coexist with spreadsheets and WhatsApp. AI might help the process, but you are not sure how or where.
You need results, but there is no plan
Part of the team wants more productivity while others protect what already works. A shared plan reduces friction.
You bought something and almost nobody uses it
Licenses were assigned, adoption stayed low, and training did not change actual habits.
Data and regulation slow you down
You want to move forward without exposing sensitive information or promising what you cannot deliver.
What you leave with.
The format adapts to your size and sector, with a clear focus on better decisions.
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Opportunity map
Use cases tied to real processes (sales, operations, support, data), with estimated effort and impact.
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Data and privacy risks
What information can and cannot go into models, tools, or automated flows in your context.
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Build, buy, or integrate
What to build, what to buy or integrate from what you already have, and how to combine it.
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Prioritization with judgment
What to attack first, what can wait, and what should be discarded even if it sounds modern.
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Fast, realistic improvements
Low-risk changes to test in weeks, not months.
How we work.
Four concrete steps, no consulting theater: interviews, process and tool review, and an output your team can actually use.
- 01
Understand the operation
How your team works today, which systems it uses, where time is lost, and what AI attempts already exist, even informally.
- 02
Find real opportunities
Where a better connected or AI-assisted flow saves measurable time, instead of where to force a bot.
- 03
Assess risk and maturity
Data, permissions, sector, team, habits. In Uruguay and regulated sectors, this is explicit from the design stage.
- 04
Prioritize and close
A final map with quick improvements and a suggested path, plus a closing session: what to do next week, who leads it, and what to leave for later.
FAQ.
Do I need a technical team?
No. We need access to the people who understand the operation: sales, administration, support, systems. If there is IT or external providers, even better.
How long does the process take?
Between 2 and 4 weeks, depending on size and complexity. In the first call we define the concrete scope.
Does it help if we do not use AI yet?
Yes. Many companies start here: before buying licenses or launching pilots, we organize where it makes sense to begin.
How much does it cost?
Scope is defined in the first call according to size and complexity. We give you a range before moving forward. We do not publish a single price because the value is in doing a serious diagnostic.
Make your next AI investment the right one.
Let’s talk in a free 30-minute call to define the right next step for your business.
or email us at hola@lirroy.com