How a service company discovered where to begin its automation journey
A practical example of how ClowdWork Intelligence can help an organization identify the right opportunities, preserve process knowledge and prepare controlled automation.
The challenge
A service company with 80 employees wanted to automate but didn't know where to start. Dozens of manual processes, limited visibility and no clear priorities made it difficult to decide what to automate first.
See what is really happening
With ClowdWork Intelligence, work patterns were analysed across roles and processes.
- Many hours were spent transferring information between systems.
- The same process was repeated every day.
- Two different teams performed similar checks.
- Exceptions were handled by one key person.
- There was no current documentation.
Understand and preserve the process
With Intelligence Plus, how the work is actually done was captured.
- The end-to-end process was documented.
- Roles, rules, inputs, outputs and exceptions were identified.
- The tacit knowledge that was not written anywhere was captured.
- The information was structured in a clear and reusable way.
Prepare and validate the AI agent
Roubot used that documented knowledge to train and configure an AI agent.
- The agent was trained with real procedures and rules.
- It was tested in a staged environment with human validation.
- It learned how to handle exceptions and when to escalate.
Automate with control
The automation was rolled out gradually, with human oversight and continuous improvement.
- The right process was automated first.
- Humans stayed in control.
- Impact was measured and improvements continued.
What we learned
The bottleneck was not the automation tool: it was knowing what to automate. Once a process is understood and documented, automating it stops being a bet and becomes a decision with evidence behind it.