AI customer support for SMEs in Ecuador

Ready for a pilot?

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

Readiness for AI customer support

0 % · 0 of 6 controls that applyFirst missing: questions measured and approved answers

Not yet: the basics for answering without guessing are missing.

Higher-risk controls weigh more in the score.

We know how many questions arrive per month, through which channel and at what time.
The 20 most frequent questions have a written, reviewed answer.
We defined which cases always go to a person: complaints, urgent cases and exceptions.
We know which customer data we ask for and how long we keep it.
Every question is logged with a status and an owner.
A named person is accountable for answer quality.

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 per month1,000

Minutes of work per question today11 min

Questions handed to a person (example)40%

Minutes per handed-over question (example)4 min

AI model

Cost per hour (USD)

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

Today183 h/month

Automated27 h/month

Value of hours freed per month156.7 h × USD 2.78: USD 436
AI model public price1,000 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 2.75
Platform, monitoring and support exampleTypical monthly range: −USD 100 to −USD 250
Net savings per month: USD 183 to USD 333
Approved answers, handoff rules, channel connection and pilot typical range · exampleOne-off, up front: USD 2,000 to USD 5,000
Months to pay back the investment: 6.0 to 27 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

Week 1Measure questionsVolume, channel, time and reason of the questions in one real month.KPI: Signed baseline
Week 2Answers and rulesApproved answers to frequent questions and the cases that go to a person.KPI: Answers approved
Week 3Internal testThe team tests on 200 real anonymized questions and corrects answers.KPI: Correct answers (example target: 95%)
Week 4Scoped real useOne after-hours channel with real customers, compared to the baseline.KPI: Handoffs and response time

Before you start

Question volume measured by channel and by hour
20 frequent questions with a written, approved answer
List of cases that always go to a person
Minimum customer data requested and retention period
Every case logged with status and owner
Support owner and success metric agreed

Frequently asked questions

Does 24/7 support mean instant resolution?

No. Receiving an after-hours question does not guarantee resolution. Define what the agent can answer and what must be recorded for the team.

What customer data does it need?

Only data required for the defined process. Fields, access and retention must be reviewed with the owner before real data is used.

Can it handle complaints?

It can classify and prepare a case. Sensitive complaints, exceptions and commitments must follow business rules and be handed to a person when needed.

What if a connected service fails?

The workflow must recognize the failure rather than invent a result. Record the issue and provide the next step permitted by the business.