AI and automation · Ecuador

AI agents and automation for businesses in Ecuador

Start with a process that repeats every week and already has data: customer questions, document entry or reports. A 4-week pilot with one metric tells you whether to scale; money decisions stay with your team.

Start now if

  • A process repeats weekly with clear rules
  • The data already lives in a system or sheet
  • One person owns the result

Not yet, if

  • Nobody knows how long the process takes
  • The data lives in someone’s head

Real process · example timings

A customer asking about an order, balance or request

Today

  1. 1The question arrives by WhatsApp or email2 min
  2. 2Look up the data in the system or sheet6 min
  3. 3Check with another team if in doubt5 min
  4. 4Reply and log the case2 min

With AI

  1. 1AI identifies the customer and reads the systemauto
  2. 2Replies with the data and where it came fromauto
  3. 3A person handles only the unclear cases3 min
Today≈ 15 min per question
With AI≈ 3 min per question
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 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.

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
15 min
3 min
AI model
Estimated floor: the 2026 SBU (USD 482, Ministry of Labor) ÷ 173.33 h (40 h × 52 weeks ÷ 12) ≈ USD 2.78. Typical real cost (example): ×2.5, a salary of two basic wages plus employer contributions and bonuses. Source
Today375 h/month
Automated75 h/month
Value of hours freed per month300 h × USD 2.78
USD 834
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
−USD 4.13
Platform, monitoring and support exampleTypical monthly range
−USD 100 to −USD 300
Net savings per month
USD 530 to USD 730
Diagnostic, read-only integration, testing and pilot typical range · exampleOne-off, up front
USD 3,000 to USD 8,000
Months to pay back the investment
4.1 to 15 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.

estimated

4-week pilot

A typical plan; real timing depends on your systems.

Pilot · weeks 1 to 4

  1. Week 1Pick and measureOne process, its monthly volume and how long it takes today.KPI: Baseline
  2. Week 2Connect and rulesRead access to the data and rules on what it answers and what it hands over.KPI: Rules approved
  3. Week 3Test on real casesAI works on 100 past cases; the team corrects.KPI: Correct answers
  4. Week 4Scoped real useOne team uses it and it is compared to the baseline.KPI: Minutes per case vs. baseline

Before you start

By sector: what to automate first

Frequently asked questions

Do you build chatbots or AI agents?

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

Do I need to replace my systems?

We first review existing systems and available interfaces. Where feasible, we propose a bounded integration instead of assuming everything must be replaced.

Where should we start?

Choose a repetitive process with accessible data, an accountable owner and a way to measure quality. Initial evaluation determines scope and limits.

Which processes should be automated first?

The ones that repeat every week, follow stable rules and cost money when they fail: reconciliations, operational reports, data entry between systems and answers to frequent questions. Evaluation measures frequency and cost before choosing.