Nobody knows how to run it.
The supplier leaves and the team inherits a black box it cannot touch.
AI by product phase · Operation and scale
Delivering is not leaving. It is handing over.
The product lives: it is monitored, corrected and grows. We leave the internal team genuinely able to run it and a support agreement that can be cancelled without penalty.
The day after the launch.
No monitoring.
The failures are discovered by the user and reported over the phone.
The MVP does not scale.
What served to validate breaks with the first real growth.
Four concrete deliveries.
The stated goal is that you stop needing us for the day-to-day. We stay for what adds something.
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01
Monitoring and alerts
Errors, performance and usage watched. The failure is spotted before the user.
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02
Handover to the internal team
Sessions on the real code until they can deploy and debug on their own.
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03
Evolutionary maintenance
A measurable, cancellable agreement. No penalty, no hostages.
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04
Scaling without rewriting
From the validated MVP to the product that holds up, on the same foundations.
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Operational runbook
What to do for each common incident, step by step.
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Health panel
Errors, latency, usage and cost in one place.
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A capable team
With access, context and the ability to change the product.
What we bring from what is already running.
What stands in for a case of our own here is the years, not a demo: ADG, Buscafact, Smart Build and Match Prácticas have been in production with real users for some time. That is what teaches what operating actually takes — monitoring that warns before the user does, and an internal team able to touch the system without calling us. A product only its builders can operate is not finished.
Highest-impact use cases
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01
Finding out before the user does
Alerts on errors, latency and queues, with an agreed threshold and a clear recipient. Without this, the warning arrives through the worst possible channel: a complaint.
The incident is cut before it becomes reputation.
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02
A real handover to the internal team
Documentation, sessions over the code and support until your team resolves an incident without us. It gets verified, not assumed.
Verifiable autonomy, not a PDF.
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03
Evolutionary maintenance on your priorities
A queue of improvements ordered by return and reviewed with you. Plus a support agreement you can cancel without penalty.
We stay because we add, not because of a contract.
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04
Scaling without rewriting
When usage grows, what is actually the bottleneck is widened, not the whole system. It is what was decided at design and is cashed in here.
Growth stops being a new project.
What it is built with.
Before you call us, read this.
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How to scale an MVP without rewriting it from scratch
A lot of MVPs die precisely when they start working: the users arrive, the data arrives and the architecture put together in a hurry starts to creak. The good news is that scaling almost never means starting from zero. This is the no-hype guide to doing it in phases.
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How long does it take to develop an app or custom software? Real timelines by project type
An MVP in weeks, an internal app in months, a SaaS in half a year or more. The question "when will I have it?" has honest answers if you understand what moves the schedule. These are the real timelines for custom software and the factors that genuinely stretch or shorten them.
- Discovery Which problem deserves software and which does not.
- Design Architecture, flows and data model before the code.
- Build Code with tests, reviewed and signed off by an engineer.
- The AI inside Agents and models integrated where they multiply.
- Validation Security, performance and accessibility before shipping.
Not sure where to start? Measure your organisation’s AI maturity for free in 3 minutes, or book 30 minutes of direct diagnostic.
Let's start
Let's talk about your operation.
Tell us what costs more than it should. We come back with a concrete plan, realistic timelines and a clear yes or no.
contacto@plantekia.com