Every new candidate registration involves the same three steps: a assignee is appointed, a reminder is set, and the relevant person is notified. These steps are simple; however, when repeated thirty times a day, they turn into a serious waste of time.
Worse, on busy days, these steps are skipped. A skipped assignment means a candidate nobody calls.
In this article, we explained how automation rules are set up, which tasks should be automated, and how to connect to external systems via webhooks.
Table of Contents
What is an automation rule?
An automation rule is a definition that allows the system to perform an action automatically when a specific event occurs. It transfers repetitive human steps to the system.
The value of a rule is not only in saving time. Its true benefit is guaranteeing that the step is never skipped.
Humans forget on busy days, go on leave, or leave the job. A rule, on the other hand, works the same way under all conditions and ensures consistency.
This consistency is also important for measurement. A step done differently by everyone does not produce comparable data.
Rule definitions in EQLEM are made in the CRM module and work together with data in other modules.
Trigger, condition, and action
Every rule consists of three parts. The trigger determines when the rule will be evaluated, the condition determines which records it will run for, and the action determines what will be done.
Triggers are generally record creation, field change, or timeout. When a candidate is created, their stage changes, or they remain inactive for a certain period, the rule comes into play.
Conditions narrow the scope of the rule. Instead of all candidates, it can be made to work only for a specific region or for records above a certain amount.
Actions can be making an assignment, updating a field, creating a task, sending a notification, or transmitting data to an external system. Multiple actions can be defined in a single rule.
Clearly defining these three parts ensures that the rule operates predictably. Ambiguous conditions produce unexpected results.
What to automate?
The best candidates for automation are tasks that are frequently repeated and do not require decision-making. When these two features come together, the gain is highest.
Assignment operations fit this definition perfectly. Assignments made by region, sector, or product group can be turned into a rule.
Reminders and task creation are also suitable for automation. Opening a follow-up task a certain time after an offer is sent should not be left to human memory.
Alerts also fall into this group. Automatic notifications for requests nearing their deadline or stalled opportunities catch problems early.
Data consistency checks can also be turned into rules. Flagging records with missing fields naturally improves data quality.
What not to automate?
Not every repetitive task is suitable for automation. Automating steps that require judgment often causes harm.
Content going directly to the customer is in this category. An automatically sent message arriving in the wrong context damages the relationship.
Opportunity stage changes should also be done manually. The system automatically counting an opportunity as won corrupts forecasting data.
Record deletion operations should not be automated either. Irreversible operations should always be tied to human approval.
The general rule is: in steps where the result is irreversible or directly reflects on the customer, automation should produce recommendations but not make decisions.
What is a webhook and what does it do?
A webhook is sending an automatic notification to another system when an event occurs. It builds a real-time bridge between systems.
In classic integrations, the target system queries at regular intervals. A webhook works in reverse; the source system notifies of a change and the unnecessary query load is eliminated.
This method significantly reduces latency. Instant notification instead of hourly polling ensures processes speed up.
Common use cases include transmitting new lead records to the accounting system and sending order information to the logistics system.
A retry mechanism is needed for situations where the target system cannot receive the notification. A notification sent once and forgotten leads to silent data loss.
Common rule examples
New lead assignment.A lead coming from the web form is automatically assigned to the relevant representative based on their region, and an initial contact task is created.
Stalled opportunity alert.Notifications are sent to the responsible person and their manager for opportunities that have not been updated for a certain period.
Request timeout.The escalation chain is triggered and the priority is increased for service requests whose SLA time is about to expire.
Satisfaction survey.For every closed request, a survey is sent with a specified delay, and a follow-up record is opened for low scores.
Duplicate record check.When creating a new record, similar records are scanned and suspicious matches are flagged.Duplicate record cleanupyou can check the article.
Testing and monitoring
A new rule must be tested before being deployed to production. A poorly configured rule can affect hundreds of records in a short time.
Testing starts with a narrow condition first. Running the rule for a single region or a single user allows the results to be observed.
Rule execution logs must be monitored. It should be visible how many times each rule was triggered and which records it affected.
Failed executions must also be logged. A rule that fails silently might go unnoticed for days, assuming it is running.
Regular review of these logs ensures that the automation setup remains reliable.Monitoring integration errorswe discussed a similar approach in the article.
Rule maintenance
Automation rules accumulate over time and begin to affect one another. Therefore, periodic maintenance is required.
Rules that are never triggered should be identified and removed. A rule that does not work serves no purpose other than making the setup harder to understand.
Conflicting rules must also be reviewed. Two rules assigning the same record to different people will produce unpredictable results.
The purpose of every rule should be documented in writing. A rule whose justification is unknown cannot be modified by anyone later on.
Keeping the number of rules limited is also a matter of preference. A small number of well-functioning rules is more valuable than many half-baked setups.
Points to consider
The biggest risk of automation is the formation of loops. A change triggered by one rule triggering another rule can lead to a cascading execution.
Therefore, the triggering behavior of rules should be restricted. This possibility must certainly be evaluated during the design phase.
Notification density should also be controlled. A setup that generates excessive notifications will quickly lead to all notifications being ignored.
Privacy must be observed in data sent to external systems. Notifications containing personal data should only carry the necessary fields.
We detailed the obligations regarding this in the KVKK compliant customer data article.
Frequently asked questions
Does defining rules require technical knowledge?
Basic rules can be defined through the interface; technical support is required for external connections such as webhooks.
How many rules can be defined?
No technical limit has been set; however, keeping the number of rules limited is recommended for manageability.
Can automated operations be undone?
Record updates leave a trace and can be corrected; sent notifications cannot be recalled, which is why testing is important.
Can data be sent to our existing ERP system?
It is possible via webhook or synchronization; we discussed the method in the ERP synchronization article.
When set up correctly, automation rules allow the team to dedicate their time to valuable work. When set up incorrectly, they generate noise and reduce trust.
Start with a small number of rules. Assignment and reminder are the two topics that yield the highest return in almost every business.
Use automation cautiously for content going directly to the customer; the cost of a message reaching the wrong context is higher than the time saved.
Regularly monitor rule execution logs; a rule that fails silently is often not noticed for a long time under the assumption that it is running.
By consulting with the EQLEM team, you can plan your automation setup.