Customer service
Repeated inquiries, out-of-hours messages, unregistered clients, and opportunities that go cold.
AI diagnostics for companies
Discover where your company loses time, customers and opportunities due to manual processes.
Ezelero Diagnostics identifies untracked queries, slow quotes, messy data, and administrative tasks that could be improved with automation and artificial intelligence.
It is not a forced sale. First we understand your operation.
Who is it for?
For companies that want clarity before investing in AI.
This diagnosis is for businesses that feel like they waste time on WhatsApp, quotes, reports, business monitoring or daily administration, but still don't know where to start.
Quotes and tracking
Slow responses, opportunities without responsibility and clients who do not receive follow-up after quoting.
Reports and administration
Scattered sheets, manual work, and information arriving late to decision makers.
messy information
Data in chats, emails, Excel, documents and separate systems that no one can see together.
Dependence on a person
Critical processes that stop when a person is not there, does not respond or has too many tasks on them.
Decide where to start
Not everything should be automated. We identify the process with the best relationship between impact, effort and control.
What we analyze
We review the actual process, not some abstract AI idea.
During the diagnosis we observe how queries arrive, who responds, what information is lost, what tasks are repeated and what decisions require human control.
- How queries arrive and who attends to them.
- Where quotes, appointments or reports are delayed.
- What information lives in WhatsApp, Excel, email or documents.
- What decisions should not be automated.
- What tools does your company already use?
Result
You receive a clear path, not a list of tools.
Quick process map
An organized view of where repetitive work is and where tracking is lost.
Three prioritized opportunities
We select the points with the greatest potential impact and the least initial complexity.
Initial impact estimate
We define what could be measured: response time, registered queries, follow-ups or reports.
Pilot recommendation
We propose a first process to test in a controlled way before scaling.
Risks and limits
We indicate what should not be automated and where a person should intervene.
Next steps
You leave with a clear decision: move forward, wait, or discard automation if it doesn't make sense.
What we don't promise
No smoke, no guaranteed sales and no full automation.
We do not promise magical results. If a process requires human judgment, management approval or sensitive information, we make it clear from the beginning. The goal is to find a measurable pilot, not sell AI for fashion.