Conversion and automation
Automation and AI for clearer workflows
We connect the tools you already use and apply artificial intelligence where it makes sense to solve specific operational tasks and workflows. We start by understanding how you work today; the technology is chosen afterward.
Who it’s for
- Teams that copy the same information between several tools.
- Companies that receive requests through different channels and sort them by hand.
- Businesses that want to explore AI applied to a real task, not as a one-off experiment.
- Administrative areas with repetitive processes and clear rules.
What it isn’t
We don’t promise savings or quantified results up front: they depend on your process and on how each automation is used. In the assessment we explain what could change so you can evaluate it.
Needs it addresses
Move data between tools
So a record in the form, the CRM or the spreadsheet reaches where it’s needed without being entered again.
Notify the right person
Automatic notifications when something needs attention.
Organize information that arrives messy
Classify or extract data from emails, documents or messages. For example, AI could suggest a category for each request received.
Prepare drafts
AI support to generate first versions of replies or summaries that a person reviews.
Make workflows visible
Document what happens, when and with what data, so the process doesn’t depend on someone’s memory.
What it can include
The scope is defined with you: these are possible elements, not a closed package.
Workflow assessment
A map of the current process and of the tasks that are best to automate first.
Application integrations
Connection of forms, email, spreadsheets, CRM or other tools.
Rule-based automations
Workflows that are triggered by an event and run defined steps.
AI applications
Classification, extraction, summarization or assisted writing built into the workflow.
Human review
Approval points where a person confirms before continuing.
Logging and alerts
Notices when a workflow fails, so it can be fixed in time.
Documentation
An explanation of each automation so your team knows what it does and how to adjust it.
Automation and AI
How we work on this service
Step 1: Map the task
We observe how it’s done today, with which tools, what data is used and where it gets stuck.
Step 2: Choose what to automate
We prioritize tasks with clear rules and define where it makes sense to use AI and where it doesn’t.
Step 3: Prototype
We build a first version with test data and review it with you.
Step 4: Implementation
We connect the workflow to your real tools and add alerts and review points.
Step 5: Tuning and documentation
We watch it in use, fix what’s needed and document how it works.
Frequently asked questions
Shall we talk about your project?
Tell us what you need and we’ll help you define the next step.
Let’s talk about automation