Insights, Stories, and Resources for Process Intelligence
Salesforce won an era by turning business change into clicks, not code. That made sense when developers were scarce and slow. In an AI-native world, code is cheap, testable, and easy to roll back. Long chains of flows, layouts, and permissions become declarative debt: invisible state that’s hard to review, diff, and audit. The center of gravity is shifting from low-code platforms to AI-first systems that write, read, and reason over code, with CRMs as just one data surface. Keep Salesforce’s strengths - identity, ecosystem, familiar UI - but move intent and logic to Git-backed, generated services. Clicks for context; code for control. Admins level up to architects of meaning, collaborating on text the machine compiles into reliable, portable systems.
Processity empowers users with safe, self-service process analytics.
Processity reveals true Salesforce adoption with deep event tracking and clear process visualizations.
Processity pinpoints sales cycle bottlenecks, and visualizes process paths.
Large Salesforce orgs eventually converge on a tangled hairball of flows, triggers, packages, and permissions. That complexity isn’t an accident; it’s the moat. Metadata lock-in raises the cost of leaving, refactoring, and even reasoning about change. Salesforce’s AI push will deepen that dependency by binding more logic to platform-native patterns. The escape is not a risky re-platform. Keep Salesforce as your durable system of record while progressively moving business logic into an AI-friendly runtime that spans systems. Use an event backbone, a living process graph, orchestration with guardrails, and task-level agents. Apply a strangler pattern, retire strands safely, and measure progress with a “Hairball Index.” You’ll lower risk, speed change, and own portable, vendor-neutral IP across teams, tools, and time.
Salesforce’s channel engine has long delivered reach, trust, and talent. Partners win work through repeatable patterns and billable hours; Salesforce gains distribution and stickiness. That loop shaped roadmaps toward configurability and breadth - often at the expense of product clarity. AI resets the stakes. When intent can become working behavior in minutes, value shifts from projects to prompts, from hours to cycles, from templates to learned patterns. Routine SI tasks move to agents, shrinking the available services pool. Buyers will judge time-to-value and ongoing maintenance, not catalog size. Partners can still win by moving up the stack - outcomes, governance, and data quality - while customers push for outcome-priced contracts and automation by default. Plus clearer exit paths and explainability.
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Processity boosts admin-stakeholder trust with shared process views, audit trails, and real transparency.
Processity streamlines Salesforce auditing with process discovery and insight.
Bring Process Clarity to your Sales/Service Cloud Migrations with Processity
Processity helps Salesforce Admins quickly trace user actions, ending guesswork and speeding up debugging.
Processity documents Salesforce processes from real user behaviour, keeping workflows clear and current.
Use Processity to target UAT on high-traffic process paths and reduce post-release bugs.
Processity detects stage jumps in Salesforce deals to improve forecast accuracy and pipeline trust.
Processity tracks field usage across full processes, revealing true utility and letting you trim tech debt.
Instrumentation is the code that reports measurements and signals about the execution of your code.
Processity Data History offers unlimited field history, precise tracking, and complete transaction tracing.
Processity auto-logs every user action, visualizes processes, filtered by team or region to prove compliance
Processity visualizes governor limit use per transaction, so you proactively prevent limit breaches
Processity reveals power user training gaps with deep usage data to target support where it’s needed