Cut manual work and connect your processes
Automation applied to real processes: turn repetitive tasks into automated workflows connected to the systems you already use.
What is happening today?
Manual work isn't in the hard tasks: it's in the everyday copy and paste.
- The same information is entered several times in different systems
- Processes held together by spreadsheets and emails
- Manual follow-up that gets lost when someone is overloaded
- Data entry errors that cost time and money
- Systems that don't talk to each other
What can your company achieve?
Less manual work
Repetitive tasks run on their own; the team reviews exceptions instead of entering data.
Fewer errors
Information flows between systems without re-entry or outdated versions.
Faster processes
Processes that used to require multiple manual steps run in an automated, traceable way.
No made-up percentages: the indicators are defined with you before building and measured afterwards.
How WITS approaches it
From the current process to the automated workflow:
- 1
Current process
We map how it runs today: steps, systems, people and bottlenecks.
- 2
Identify tasks
What is repetitive, rule-based and has enough volume to automate.
- 3
Design the workflow
The target workflow with its exceptions and human approval points.
- 4
Integrate and automate
We connect the systems and turn the process into an executable workflow.
- 5
Measure
Time, errors and capacity, before and after. Automating isn't enough: you need to know what changed.
What makes it possible
We use the tool the process calls for — automation isn't a page about a single platform.
Cases where we applied Process automation
ISO 9001 management system
Platform with 16 modules for ISO 9001 compliance.
AI-powered asset management
Assets and liabilities system connected to Telegram and ChatGPT.
State investment CRM
Investment project management platform for the Government of Jalisco.
What we get asked most
How do we know whether a process can be automated?
If it is repetitive, follows clear rules and runs through systems or digital information, it's a candidate. In the Detect stage we assess it on your real process, not in theory.
What happens with exceptions?
They are designed in from the start: the workflow handles the repetitive part and escalates to a person whatever requires judgment. Automating a bad process doesn't make it good — that's why we design first.
Do I need to change my current systems?
No. We start from what you already use — CRM, ERP, spreadsheets, email — and connect it.
They combine with Process automation
AI agents
A chatbot answers. An AI agent receives a goal, looks up information, uses tools and executes actions inside your processes.
Custom software
Platforms, systems and applications that fit your real process — with integration and AI from the design stage, not as a patch.
Read more about Process automation
AI agents for customer service: a practical guide
A well-designed customer service AI agent escalates 40% of tickets to humans. A poorly designed one escalates 90%, frustrating everyone.
Case study: the 16-module ISO 9001 platform that cut audit prep by 75%
Audits, nonconformities and documents in scattered spreadsheets → a 16-module SaaS with full traceability. The QualityWeb 360 case.
ChatGPT for Mexican companies: an implementation guide
Using ChatGPT in your Mexican company is more complicated (and more useful) than paying 20 USD/month per account. This guide covers what nobody tells you.
Which process do you want to improve?
Tell us what you want to sell more of, automate, reduce or improve, and we'll analyze where process automation can make a real impact.