Email → CRM → reply
AI recognizes the type of request, pulls the relevant context, drafts a reply, and prepares the next step in the CRM.
Medici's core technology
AI Workflow Automation
Automation of routine processes that today run through email, spreadsheets, documents, CRM, and internal lookups.
Promise to the customer
Less manual work, faster response times, and clear ROI — without having to overhaul your entire company system.
Ready for a pilot
It starts with a small scenario that can be explained, measured, and decided on based on the result.
Where it fits
SMEs and founder-led companies
Sales and back-office teams
Operations coordination
Companies with recurring admin processes
What the customer gets
automatic triage and reply suggestions
data transcription and validation between systems
workflow assistants for employees
measurable weekly time savings
Interactive engine map
How the workflow engine works
AI isn't a standalone chatbot on the side. It sits between your tools, reads context, suggests actions, and writes the result back into your systems.
Inputs
Emails, documents, spreadsheets, CRM
The system watches selected sources where repetitive manual work happens today.
Examples and presentation
What it looks like in practice
Report from multiple sources
Instead of manually assembling data, the system gathers it, summarizes changes, and flags anomalies.
Internal requests and approvals
An employee describes a need in plain language; AI prepares the form and triggers the right process.
Model case
Model case: sales administration
A team repeatedly answers similar questions, manually looks up data, and re-enters the result into the CRM.
1
Mapping the 20 most common questions
2
Connecting selected knowledge sources
3
Pilot of reply drafts with human approval
4
Measuring time savings and reply quality
Expected business impact
The goal of the pilot is to cut reply preparation from minutes to tens of seconds and free up team capacity without adding headcount.
Fit simulator
How big should the first step be?
The customer doesn't need to understand the architecture. It's enough to describe the scope, number of locations, and data readiness. The recommendation shows whether an audit, a pilot, or a broader system fits best.
Implementation
How to start without unnecessary risk
Opportunity Sprint
1-2 weeks
Process map, ROI shortlist, and a first-pilot proposal.
Workflow pilot
4-8 weeks
Deployment of one workflow into live operation with quality control.
AI Operations
monthly
Ongoing tuning, new scenarios, and impact monitoring.
Where in your business would AI investment pay off the fastest?
Start with a short AI Opportunity Sprint. Together we'll identify the processes that make the most sense to automate first.