We move AI past the experiment stage and build it into your processes in a way you can measure.
Last updated
View as MarkdownFrom idea to live
The workflow, the users and the success measure on one page.
Screens and the data model, a clickable prototype.
Two-week sprints, a working release in each.
Automated tests, acceptance on real data.
Go-live, monitoring and maintenance.
Roicool's AI integration service covers choosing the use case, data and security requirements, model selection, building an assistant or workflow grounded in company data (RAG), an accuracy evaluation set, human approval steps and cost monitoring.
Last updated: 21 October 2026View as Markdown
Three problems we solve.
Scope
Tasks that repeat often, can be measured, and where the cost of errors can be controlled.
Which data goes to which provider, retention and personal data rules.
Model selection, connection to company data, integration into the workflow.
An accuracy evaluation set, human approval steps, cost and latency monitoring.
Price: by scope, written in the proposalAsk for a proposal
Cases
We connected SESTEK's Webflow forms not straight to the CRM but to a Webflow Cloud app on the site's domain; only this server layer talks to Microsoft Dynamics 365, and the browser never does. The forms are React code components managed from the Designer, on a bilingual CMS whose folder and item slugs are largely translated.
Read the SESTEK caseIn the same area
Customer and partner portals, internal operations tools and calculators: web apps where users log in and get things done.
Explore
We connect CRM, ERP, website, ad and analytics systems through APIs: no more moving data by hand, just monitored flows with error handling.
ExploreTeam and proof
Clutch profile“Roicool knew what they were doing and were ready to answer our questions with their expertise anytime.”
Sena Miskioğlu, SESTEK Marketing Manager ·
Connecting large language models to CRM, support and content processes, assistants grounded in company data, accuracy evaluation.
Strategy, content, development and measurement in one team.
Partnerships and certifications
By connecting large language models to your existing processes, it speeds up work such as classifying text, summarizing, searching for information, drafting and routing customer requests. The value comes from well-chosen repetitive tasks.
Yes. With a setup that connects your documents and data to the model through a search layer (RAG), you can have assistants that show the source of their answers. Accuracy is measured with an evaluation set.
We evaluate models from different providers for each job; the choice depends on accuracy, cost, speed and data requirements.
Let’s start
In a 30-minute intro call we listen to your goals and agree on the right first step.
