Companies · Paraguay

AI agents for companies in Paraguay: which process to hand over first

Start with a back-office process with clear rules, such as matching supplier invoices to purchase orders. The agent reads, matches and loads into the ERP; paying, approving exceptions and changing terms stay with your team.

Start now if

  • Your team keys in hundreds of invoices by hand
  • Approval rules can be written down
  • The ERP accepts imports or an integration

Not yet, if

  • Purchase orders are not recorded in a system
  • Each branch buys under different rules

Real process · example timings

Supplier invoice against purchase order

Today

  1. 1Receive the invoice by email and find the order and goods receipt10 min
  2. 2Compare items, prices and quantities line by line15 min
  3. 3Ask purchasing or the warehouse about differences and wait+1 day
  4. 4Load into the ERP and pass to payment10 min

With AI

  1. 1The agent reads the invoice and finds the order and receiptauto
  2. 2Matches items, prices and quantities and flags differencesauto
  3. 3Accounts reviews only the flagged invoices5 min
  4. 4Loads into the ERP with every step logged; a person approves payment2 min
Today≈ 35 min of work + 1 day waiting
With AI≈ 7 min
Illustrative timings, not client measurements.

Ready for a pilot?

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

Readiness for a first agent

0 % · 0 of 6 controls that applyFirst missing: process measured and written rules

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

Higher-risk controls weigh more in the score.

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.

1,500
35 min
7 min
AI model
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
Today875 h/month
Automated175 h/month
Value of hours freed per month700 h × PYG 12,683
PYG 8,878,100
AI model public price1,500 invoices × USD 0.0010 (example: 6,000 input + 800 output tokens; gpt-6-luna at USD 0.10 / 0.50 per million) · OpenAI · API pricing
−PYG 8,542
Platform, monitoring and support exampleTypical monthly range
−PYG 1,138,894 to −PYG 2,847,235
Net savings per month
PYG 6,022,323 to PYG 7,730,664
ERP connection, tolerance rules, testing and pilot typical range · exampleOne-off, up front
PYG 28,472,350 to PYG 68,333,640
Months to pay back the investment
3.7 to 11 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

  1. Week 1Pick and measureOne process (supplier invoices) and its baseline of time and differences.KPI: Signed baseline
  2. Week 2Rules and permissionsWritten tolerances, a scoped ERP user and every step logged.KPI: Permissions approved
  3. Week 3Controlled testThe agent matches 100 real invoices; accounts corrects every error.KPI: Correct matches (example target: 90%)
  4. Week 4Scoped real useOne group of suppliers goes through the agent and is compared to the baseline.KPI: Minutes per invoice vs. baseline

Before you start

Frequently asked questions

What's the difference between an agent and a chatbot?

A chatbot replies to messages. An agent executes work: queries systems, makes bounded decisions, completes multi-step processes and logs everything it does for audit.

Do we need perfect data to start?

No. Part of the diagnostic is evaluating your data sources and deciding which use case is viable today and which needs data engineering work first.

How do you keep the agent from making serious mistakes?

With three layers: bounded action scope, automated evaluations before each release and human oversight on sensitive decisions. Nothing critical is delegated without a safety net.

Do you work with companies outside Asunción?

Yes. We work remotely with companies across Paraguay and the region, meeting in local business hours.