Salesforce process intelligence built on real event data, not metadata guesses

Process intelligence uses event-log data (Field History Tracking, stage-transition events, SetupAuditTrail) to measure how revenue processes actually perform inside Salesforce. Not what metadata says should happen, what actually happens. It reveals conformance gaps (deals skipping stages), cycle-time bottlenecks (where deals stall), rework patterns (records moving backwards), and automation collisions (flows competing on the same record). Clientell ships process intelligence as a working surface inside the audit product, not a one-time consulting deliverable.

A health check audits org metadata: flows, permissions, technical debt, integrations. It tells you what exists. Process intelligence audits real deal behavior: conformance, cycle time, rework, automation interactions on actual records. It tells you what is happening. Most teams need both. Clientell delivers them as one connected report because the dependency graph (metadata) and the event log (process behavior) reinforce each other.

Process mining as a category was popularized by Celonis as a general-purpose business-process tool. Clientell applies the same techniques (event-log mining, conformance checking, variant analysis) specifically to the Salesforce revenue process. Same math, narrower focus. We never need a separate ETL because we read directly from Salesforce. We never need a custom data model because we already understand Lead, Opportunity, Stage, and Field History.

Field History Tracking on stage-transition fields (StageName, Status, OwnerId), Activity history, Task and Event records, Opportunity History, SetupAuditTrail for change attribution, and platform event streams when configured. The richer the Field History coverage, the more accurate the conformance and cycle-time calculations. We never write to your org during scanning.

A first scan completes in under an hour for most mid-market orgs and inside 24 hours for enterprise orgs with 5+ years of history. The output is a process map per revenue process, conformance and cycle-time metrics, rework analysis, an automation map showing every flow and trigger involved, and a prioritized remediation list. Subsequent scans run on demand.

Partially. Without Field History Tracking enabled on the relevant fields, conformance and cycle-time calculations become approximations based on createdDate and lastModifiedDate. The first thing process intelligence usually surfaces is the gap in Field History coverage itself. We document which fields need tracking enabled and ship the recommended config so subsequent scans get materially more accurate.

We combine the metadata dependency graph (which flows, triggers, validation rules, and Apex classes touch which fields) with the event log (which automations fired in which order on which records). When two flows update StageName on the same record inside a millisecond window, that is a collision. The product shows the collision visually on the workflow map and tells you which automation is producing the wrong value most often.

A dirty process produces a broken agent. Agentforce agents need clear stage paths, populated decision fields, scoped permissions, and non-conflicting automations to operate. Process intelligence scores your readiness on each of those dimensions per revenue process and gives you the prioritized list of blockers to fix before deployment. Most orgs we scan fail at least one dimension on day one.

Three capabilities nobody else combines. (1) Event-log process mining and metadata dependency graph in the same product. Hubbl has process mining but not the dependency graph. Elements has the dependency graph but not event-log mining. Sweep has neither. Combining both means we can tell you which automation is involved in which revenue process, how often it fires on real deals, what it competes with, and how it affects cycle time. (2) SetupAuditTrail-powered origin stories: we tell you who made the change that introduced each issue, on what date. Nobody else reads SetupAuditTrail at the individual finding level. (3) Fix delivery: we deploy the fix via sandbox dry-run with diff review. Hubbl, Elements, and Sweep stop at diagnosis or documentation.

Yes. Clientell runs a free scan and returns a full process intelligence report in 24 hours. You get conformance scores per named process, cycle-time and rework analysis, an automation map per process, and a prioritized remediation roadmap. Read-only access only. SOC 2 compliant. No paid engagement required.