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.
AI agents · Ecuador
AI agents for companies in Ecuador: which process to hand over first
Start with a back-office process with written rules, such as matching supplier invoices to purchase orders and their withholding. The agent reads, matches and prepares the ERP entry; approving payments, exceptions and withholdings stays with your team.
Start now if
- Your team keys in hundreds of supplier invoices by hand
- Tolerances and approvals 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 and withholding
Today
- 1Download the e-invoice and find the order and goods receipt8 min
- 2Compare items, prices and quantities line by line12 min
- 3Ask purchasing or the warehouse about differences and wait+1 day
- 4Prepare the withholding, load into the ERP and pass to payment10 min
With AI
- 1The agent reads the invoice XML and finds the order and receiptauto
- 2Matches items, prices and quantities and flags differencesauto
- 3Accounts reviews only flagged invoices and the proposed withholding4 min
- 4Loads into the ERP with every step logged; a person approves payment2 min
Today≈ 30 min of work + 1 day waiting
With AI≈ 6 min
Ready for a pilot?
Tick what you already have; heavier items stall a pilot more. Nothing is sent.
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.
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
Today600 h/month
Automated120 h/month
- Value of hours freed per month480 h × USD 2.78
- USD 1,334
- AI model public price1,200 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
- −USD 1.20
- Platform, monitoring and support exampleTypical monthly range
- −USD 200 to −USD 500
- Net savings per month
- USD 833 to USD 1,133
- ERP connection, tolerance and withholding rules, testing and pilot typical range · exampleOne-off, up front
- USD 5,000 to USD 12,000
- Months to pay back the investment
- 4.4 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.
estimated4-week pilot
A typical plan; real timing depends on your systems.
Pilot · weeks 1 to 4
- Week 1Pick and measureOne process (supplier invoices) and its baseline of time and differences.KPI: Signed baseline
- Week 2Rules and permissionsWritten tolerances and withholdings, a scoped ERP user and every step logged.KPI: Permissions approved
- Week 3Controlled testThe agent matches 100 real invoices; accounts corrects every error.KPI: Correct matches (example target: 90%)
- 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 can an AI agent do for my company today?
Three concrete things: answer customer messages on WhatsApp with your business information, read and validate documents (invoices, contracts, forms) and extract the data that matters, and run internal processes such as reports, reconciliations or system updates. Always on your sources, with scoped permissions and a log of every action.
How much does it cost to implement an AI agent in Ecuador?
It depends on scope: an agent that answers frequent questions is not the same as one that runs processes across several systems. That is why we do not publish a single price. The starting point is a free 30-minute assessment where we review your operation and you leave with a concrete estimate for the first pilot.
What happens if the agent makes a mistake?
That is what guardrails are for: the agent works with confidence thresholds, deterministic validation rules and a human review path for doubtful cases. Nothing critical runs without passing those gates, and every decision is logged for audit. A well-built agent knows when it does not know.
Does it work with WhatsApp Business?
Yes, on the official WhatsApp Business API. The agent can answer questions, qualify leads, take orders or book appointments within Meta’s policies, and escalates to a person when the case calls for it.
How do you protect confidentiality?
With least-privilege access from day one: the agent reaches only what it needs, works on indexed copies with access control rather than your live systems, logs every query, and confidentiality agreements are signed before any data is touched.