Data consulting in Paraguay: ERP and Excel

Ready for a pilot?

Tick what you already have; heavier items stall a pilot more. Nothing is sent.

Readiness to organize your data

0 % · 0 of 6 controls that applyFirst missing: report chosen and source access

Not yet: the basics for working with real data are missing.

Higher-risk controls weigh more in the score.

We chose one specific report and know how many hours it takes each month.
We can export or read the ERP and spreadsheets without touching daily operations.
Department heads agreed in writing what each key figure means and where it comes from.
Customers, products and branches have a single code in the ERP.
We defined who sees which data, with role-based access and only the data needed.
A named person is accountable for each source.

What it costs and when it pays back

Hours freed by AI minus what it costs to run. Examples are marked; public prices link to their source.

Reports and cross-checks built by hand per month60

Hours of work per report today5 h

Hours per report with the organized database (example)1 h

AI model

Cost per hour (PYG)

Floor: the minimum-wage hourly value (MTESS, July 2026). Typical real cost (example): ×2.5, a salary of two minimum wages plus employer contributions and the 13th month. Source

Today300 h/month

Automated60 h/month

Value of hours freed per month240 h × PYG 12,683: PYG 3,043,920
AI model public price60 reports × USD 0.0040 (example: 30,000 input + 2,000 output tokens; gpt-6-luna at USD 0.10 / 0.50 per million) · OpenAI · API pricing: −PYG 1,367
Platform, monitoring and support exampleTypical monthly range: −PYG 569,447 to −PYG 1,423,618
Net savings per month: PYG 1,618,936 to PYG 2,473,106
Source connections, organized database, checks and first dashboard typical range · exampleOne-off, up front: PYG 14,236,175 to PYG 34,166,820
Months to pay back the investment: 5.8 to 21 months

Tokens: the unit AI providers bill for the text the model reads (input) and writes (output). OpenAI puts 100 tokens at about 75 English words.

Range: the lower figure uses low costs, the higher one high costs. Public prices checked on 11 Oct 2026. USD prices converted at PYG 5,694.47 per dollar (reference rate of 9 Oct 2026): BCP

estimated

4-week pilot

A typical plan; real timing depends on your systems.

Pilot · weeks 1 to 4

Week 1Pick and measureOne report that crosses ERP and spreadsheets, with its current hours.KPI: Signed baseline
Week 2Sources and definitionsAccess to the sources and a written definition of each key figure.KPI: Definitions approved
Week 3Database and checksDaily load into the organized database and alerts when something does not add up.KPI: Figures that match the ERP
Week 4Real useManagement uses the new report and it is compared to the baseline.KPI: Hours per report vs. baseline

Before you start

Report chosen and monthly hours measured
List of sources: ERP, spreadsheets and each area’s systems
ERP export or read access without touching operations
Written definition of each key figure, approved by management
Role-based access to customer and employee personal data
Owner per source and success metric agreed

Frequently asked questions

What if our data is in Excel?

That's the most common starting point and it's not a problem: we integrate spreadsheets, databases, ERPs and APIs. What matters is starting with the most painful processes.

Do we need to hire an internal data team?

Not to start. We build and document everything; your current team can operate the essentials, and when volume justifies it we help you define the first hire.

Cloud or on our servers?

We recommend cloud for cost and reliability (we're Backed by AWS Activate), but we assess your case: some companies have constraints that are respected from the design stage.

How long does a first project take?

A first pipeline with a dashboard on a critical process is usually in production within 3 to 6 weeks, depending on source complexity.