Process automation and AI
Process automation means handing repetitive work that people do today - retyping, sorting, reminding and reporting - over to a system. 2Simple builds such automations and implements AI in companies where it delivers a measurable result - integrated with your systems, with controlled data access and monitoring.
For whom
- Your team spends hours on the same tasks: copying data, sorting email, compiling reports.
- You want to implement AI but do not know where it pays off and where it is just a novelty.
- Customers wait for answers because requests and messages are handled by hand.
What you get
- A process review and a list of automations with estimated gains
- Automations between systems: ERP, CRM, email, spreadsheets
- An AI assistant that answers from company documents and data
- Classification and routing of requests, emails and documents
- Notifications and messaging in any channel: email, SMS, RCS, WhatsApp, Viber, Telegram and more
- Monitoring, logs and running-cost control
How we do it
-
Review: we identify the processes where automation or AI pays back fastest.
-
Pilot: one automation on real data, with the effect measured.
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Scale: further processes, integrations and team training.
- 1
- process to start with: a pilot on real data
- Any channel
- SMS, email, RCS, WhatsApp, Viber, Telegram and others with an API
- 0
- changes required in your ERP and CRM
The system that removed paper from an entire distribution operation
HAMMERmed Medical, medical equipment distributor
Problem
Orders, shipping documents and invoices circulated as printouts between the warehouse, the office and drivers. Nobody knew which stage a document was at until they picked up the phone.
Solution
PDF Tool, an order workflow application integrated with the ERP, where a document is edited, approved and archived without ever being downloaded.
- 100%
- of orders handled electronically
- 0
- printouts in the order workflow
- Full change history
- Paper archive eliminated
Questions and answers
Where should AI implementation in a company start?
With a process, not a technology. We pick one repetitive task with a measurable cost, build a pilot on real data and check the result. Only then do we scale.
Will our data end up in a public AI model?
We decide that together at the start. We match the model and how it runs to your requirements - from services contractually excluded from training on your data to models running in your own infrastructure. The automation only gets access to the data it needs.
Will automation replace our current system?
It does not have to. Automations usually run alongside existing systems and connect them via API, files or database. Your ERP and CRM stay where they are.
Let's talk about your project
Describe in a few sentences what you want to build or improve: an app, a platform, an integration or a process. We reply within one business day. The first call is an analysis, not a sales pitch.