AI implementation and operations
AI for real work.
We integrate AI into the tools your business already uses, implement a concrete process, train your team and support daily operations.
An implementation example
Every request has an owner.
An assisted inbox for document requests.
A request arrives
It is logged and assigned to an owner.
AI prepares a draft
It uses approved information and identifies its sources.
Your team reviews and replies
It checks the content and keeps pending requests visible.
Service example. We assess suitability before implementation.
From a recurring task to a process you can track.
What we do
01 / One concrete process
AI implementation and integration
We configure agents and automations in your tools to log requests, prepare information and track work. We agree which checks remain with your team.
02 / Agreed ongoing service
Monthly operations with an agreed scope
Periodic reviews, incidents, sources and usage costs. We define in writing what we handle, how often and during which hours.
Explore operationsDiscovery and scope
We review how the work is done today, its exceptions and what your tools already handle. We define scope, price and acceptance before starting.
Team training
Practical sessions on the agreed work, with examples, a user guide and time for questions. Your team learns to check results and handle exceptions.
Usage rules and oversight
We define owners, access, approved sources and exception handling. We document how the process is reviewed and when a person needs to intervene.
A clear process from the first step.
Understand and agree
We review a work sample, the tools and the exceptions. We agree owners, price and acceptance tests.
Implement and train
We configure the connections, test the full process with authorised data and train the team that will use it.
Review and operate
Under a monthly service agreement, we review results, incidents and usage costs. Extensions are agreed before they are delivered.
«AI proposes. Your team decides.»
Human review
We define what a person validates and what happens when a result needs review.
Acceptance criteria
The sample, valid outcome and exceptions are agreed before implementation.
Environment and access
We review permissions, providers and data handling for each client’s environment.
An ERCEL reference
García Baquero, an ERCEL client.
García Baquero is part of our client portfolio.
View referenceReview is part of implementation.
Testing helps identify failures and define usage limits. Alongside implementation work, ERCEL provides tools for assessing AI systems.
ERCEL Audit
Tools to explore technical risks and organise assessment results. Review their methodology and scope to understand what they check.
Show us how it works today.
Tell us which task repeats, who handles it and which tools they use. In an initial conversation, we’ll assess suitability and the next step.
Scope, price and acceptance are agreed before work begins.