Banks and fintech · Paraguay

AI for banks and fintech in Paraguay: what to automate first

Start with a back-office process built on documents: account-opening (KYC) files or complaints. AI assembles the file and flags what is missing; approvals, fund movements and the core stay with your team.

Start now if

  • Your team reviews hundreds of files or complaints a month
  • Documents arrive as PDFs or photos and are keyed in by hand
  • Compliance can write down what the AI may see

Not yet, if

  • The core can only be read by touching production
  • Nobody knows how long one file takes today

Real process · example timings

Opening file for an SME account

Today

  1. 1Receive ID, RUC and certificates by email or WhatsApp15 min
  2. 2Review documents and fill in the form40 min
  3. 3Ask for what is missing and wait+1 day
  4. 4Load into the core and pass to compliance20 min

With AI

  1. 1AI checks the file is complete and asks for what is missingauto
  2. 2Extracts the data and matches it to the formauto
  3. 3The officer reviews only the flagged differences10 min
  4. 4Loads into the core with every step logged5 min
Today≈ 75 min of work + 1 day waiting
With AI≈ 15 min
Illustrative timings, not client measurements.

Ready for a pilot?

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

Pilot readiness for a bank

0 % · 0 of 6 controls that applyFirst missing: process measured and compliance sign-off

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.

1,000
75 min
15 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
Today1,250 h/month
Automated250 h/month
Value of hours freed per month1,000 h × PYG 12,683
PYG 12,683,000
AI model public price1,000 files × 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 22,778
Platform, monitoring and support exampleTypical monthly range
−PYG 1,708,341 to −PYG 4,555,576
Net savings per month
PYG 8,104,646 to PYG 10,951,881
Core read access, compliance rules, testing and pilot typical range · exampleOne-off, up front
PYG 45,555,760 to PYG 113,889,400
Months to pay back the investment
4.2 to 14 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 (KYC file or complaints) and its baseline of time and errors.KPI: Signed baseline
  2. Week 2Rules and accessCompliance defines what the AI sees; read-only access and every step logged.KPI: Access approved
  3. Week 3Test on 100 casesAI assembles files on real anonymized cases; the team corrects.KPI: Correct fields (example target: 95%)
  4. Week 4Scoped real useOne team uses the flow and it is compared to the baseline.KPI: Minutes per file vs. baseline

Before you start

Frequently asked questions

How do you handle security and customer data?

Role-based access, encryption, audit logs and deployments on controlled infrastructure. The security model is defined with you before writing code, aligned with your policies and regulator requirements.

Does it integrate with our banking core?

Yes. Integration with core and legacy systems is our specialty: we assess your core in the diagnostic and define the safest path, without touching what already works.

Can AI execute sensitive operations?

Nothing critical is delegated without a safety net: bounded action scope, automated validations and human authorization on sensitive operations. AI proposes, the system validates, the human authorizes.

Where should we start?

Where payback is fastest and risk lowest: typically customer service or document processing. We define it in the diagnostic with your numbers.