AI for banks and family companies in Paraguay

Ready for a pilot?

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

Readiness for a first pilot

0 % · 0 of 6 controls that applyFirst missing: process chosen and time measured

Not yet: first pick and measure one process.

Higher-risk controls weigh more in the score.

We picked one concrete process that repeats every week.
We measured how long it takes today and how often it happens per month.
The data sits in a system or sheet we can give read access to.
The rules are written: what gets answered, what does not and when a person takes over.
We know which personal data it touches and who may see it (Law 7593/2025).
A named person is accountable for the result.

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.

Questions or tasks per month1,500

Minutes per question today15 min

Minutes per question with AI (example)3 min

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

Today375 h/month

Automated75 h/month

Value of hours freed per month300 h × PYG 12,683: PYG 3,804,900
AI model public price1,500 questions × USD 0.0028 (example: 20,000 input + 1,500 output tokens; gpt-6-luna at USD 0.10 / 0.50 per million) · OpenAI · API pricing: −PYG 23,490
Platform, monitoring and support exampleTypical monthly range: −PYG 569,447 to −PYG 1,708,341
Net savings per month: PYG 2,073,069 to PYG 3,211,963
Diagnostic, read-only integration, testing and pilot typical range · exampleOne-off, up front: PYG 17,083,410 to PYG 45,555,760
Months to pay back the investment: 5.3 to 22 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 process, its monthly volume and how long it takes today.KPI: Baseline
Week 2Connect and rulesRead access to the data and rules on what it answers and what it hands over.KPI: Rules approved
Week 3Test on real casesAI works on 100 past cases; the team corrects.KPI: Correct answers
Week 4Scoped real useOne team uses it and it is compared to the baseline.KPI: Minutes per case vs. baseline

Before you start

Process chosen and monthly volume measured
Read access to the data it needs
Written rules: what the AI answers and what a person decides
100 past cases to test with
Role-based access to personal data, as Law 7593/2025 requires
Pilot owner and success metric agreed

By sector: what to automate first

Banks and fintech →Start with a back-office process built on documents: account-opening (KYC) files or complaints.Cooperatives and lenders →Start with the member’s loan application file: AI reviews the documents, flags what is missing and drafts the summary.SIFEN e-invoicing →Start by moving each sale from the ERP to the invoice without retyping data, and by sorting out rejections.Accounts receivable →Start by reconciling the payments that reach the bank with open invoices, using explicit rules and AI to explain exceptions.SME processes →Start with keying in purchase invoices: AI reads the photo, PDF or electronic invoice, fills in the spreadsheet and flags what does not add up.AI agents for companies →Start with a back-office process with clear rules, such as matching supplier invoices to purchase orders.AI WhatsApp chatbot →Start with the repeated questions on price, stock, opening hours and appointments, answered with data from your system.WhatsApp Business automation →Start with the notices your team types by hand today: order confirmation, dispatch and appointments, plus replies about their status.WhatsApp sales →Start with the inquiry that ends in an order: price, variants, stock and payment link, from your real catalog.After-hours support →Start with the inquiries that arrive at night and on weekends: opening hours, prices, terms and appointment requests.Retail and commerce →Start with questions about price, stock by store and order status, answered from your real catalog and inventory.Logistics and foreign trade →Start by building and checking the file for each import: AI sorts the documents, cross-checks the data and lists what is missing.Business intelligence →Start with the sales and collections report management asks for every month: a dashboard that updates itself, with every figure defined.Data consultancy →Start with the data cross-check that takes the most hours to build by hand: join the ERP and each area’s spreadsheets in an organized database that updates itself.

Frequently asked questions

Do you build chatbots or AI agents?

We build agents with tools and controlled access to your systems, rather than a chatbot that only replies. We define what they can read, which actions they can take and when they hand over to a person.

Do I need to replace my systems?

We do not assume so. We first review your systems and available interfaces, and propose a bounded integration where feasible.

Where should we start?

With a repetitive process that has accessible data, an accountable owner and a way to measure results. The initial diagnostic defines scope and limits.

What is SIFEN and who must invoice electronically?

SIFEN is the DNIT electronic invoicing system. Obligation arrives by groups designated by resolution: groups 15 to 24 start between 2026 and 2027 under General Resolutions 21/2024 and 52/2026. We integrate your system with SIFEN and prepare electronic stamping and operations.