“I'm afraid to touch this.”
Does anything still use this field? What is this Flow connected to? Every deployment feels risky because no one is sure.
Change Impact Analyzer
Map dependencies, identify downstream risk, and understand what needs to be tested before your next Salesforce change reaches production. A field may feed a Flow. That Flow may trigger Apex. Apex may update another system. The analyzer traces those relationships so you see the blast radius before it becomes a production problem.
Make Salesforce changes with evidence instead of assumptions.
If your team says things like this, the blast radius is hidden.
Does anything still use this field? What is this Flow connected to? Every deployment feels risky because no one is sure.
A seemingly minor change takes down an automation, a report, or an integration, and the troubleshooting eats the rest of the week.
The org has been customized for years, the documentation is stale, and too much of how it works lives only in someone's memory.
Turn “what will this break?” into something you can investigate before deployment.
Understand the components, automations, code, reports, integrations, and business processes that may be affected by a change. You get a map, not just a list.
Every proposed change is scored Low, Moderate, or High based on dependencies, Apex, integrations, and business criticality, so high-risk changes are caught before production.
Dependencies are translated into a targeted regression plan. Instead of “we changed a field, test Salesforce,” you get the exact processes to validate.
Before deleting a field, Flow, or class, know whether it is truly unused or quietly load-bearing for a report, an approval, or an integration.
Turn the relationships that used to live in one person's head into visible intelligence your whole team can investigate.
Trace how fields, Flows, objects, and classes interact to accelerate technical discovery in an unfamiliar Salesforce environment.
Select a component and see how a change travels through your org.
Choose the field, object, Flow, validation rule, or Apex class you plan to modify, for example Opportunity.Discount_Percentage__c.
Direct and downstream dependencies mapped end to end: Flows, Apex, reports, pricing approval, quote generation, and the ERP integration, all with an overall risk level.
A recommended regression scope: opportunity pricing, discount approval, quote generation, ERP sync, forecast reporting. Deploy with confidence, not crossed fingers.
Relationships across the metadata that actually runs your business.
Objects and fields, Salesforce Flows, Apex classes and triggers, validation rules, formula fields, Lightning components, reports and dashboards, permission sets and profiles, record types, approval processes, email alerts, integration touchpoints, custom metadata and settings, and other Salesforce dependencies. The goal is not just to show that a dependency exists. It is to help your team understand why it matters.
A native app on your org, priced by the size and complexity of your environment.
One prevented production incident usually pays for it.
A dependency checker answers “what references this component?” The Change Impact Analyzer goes further: what depends on those dependencies, which business processes are involved, how significant the change is, what the blast radius is, and what you should test.
In places, one component at a time, and it misses plenty. Understanding the full technical and business impact usually means checking multiple tools, metadata, and codebases. This connects the full chain and tells you what the risk actually is.
Yes. It accelerates technical discovery in an unfamiliar org, surfaces technical debt and fragile automation chains, and helps you decide what is safe to clean up.
By org size and complexity: automation volume, code, integrations. You get the number before we start, and it does not move.
Understand the dependencies, risk, and testing behind your next Salesforce change.