cmDecision gives Salesforce a dedicated decisioning engine that replaces scattered logic with one place to define, govern, and automate how your business makes judgments. It supports rules, scores, and AI models to deliver consistent, explainable outcomes across credit, approvals, and operations.




How cmDecision Strengthens Your Business
Centralized rules and explainable logic remove guesswork, giving leadership confidence that every decision follows policy and stands up to audits.
Instant, consistent decisions remove delays in credit, onboarding, and approvals, keeping customers moving forward without bottlenecks that impact satisfaction or conversion.
cmDecision evaluates rules before automations run, reducing silent failures, misfires, and downstream corrections that interrupt operations or create unexpected customer issues.
The Tool That Powers cmDecision
The Benefits That Move Your Business Forward
All rules live in one engine, making it easier to manage intricate approval, credit, or eligibility processes that previously spanned multiple tools.
cmDecision can review data across related Salesforce objects at once, enabling nuanced decisions that reflect full customer or account context.
Built-in reporting shows which rules drive outcomes, helping teams refine logic over time and improve portfolio quality or operational decisions.
Teams adjust criteria using a point-and-click editor, accelerating rollout of updated policies, products, or eligibility requirements.
The engine plugs into Flow, Apex, and Process Builder, allowing decisions to trigger updates, tasks, notifications, or escalations already in place.
All logic runs inside Salesforce, ensuring sensitive decision inputs like income, eligibility scores, credit factors, never leave your controlled environment.

Frequently Asked Questions
Can the Decision Rule Engine handle complex, multi-step credit or risk decisions without slowing down Salesforce?
Yes. The engine is designed for high-volume, multi-step decision logic and processes evaluations far more efficiently than trying to replicate the same logic in Flow or Apex. It is optimized to handle layered eligibility checks, multi-object lookups, cross-field comparisons, and scoring models without any noticeable impact on system performance. This makes it ideal for risk-heavy processes like lending, onboarding, or compliance reviews where speed and accuracy both matter.
How easy is it to audit or review the decisions the engine makes?
Every decision the engine produces is logged and traceable. This means users can see which rule triggered, what conditions were evaluated, and why a specific outcome was chosen.
For industries that require regulatory reporting or compliance documentation, these logs act as a built-in audit trail. It helps teams validate decisions, troubleshoot inconsistencies, and maintain transparency without digging through code or manually reconstructing steps.
Can the Decision Rule Engine adapt as my business rules change over time?
Absolutely. One of the biggest advantages of using a dedicated rule engine is flexibility. You can update rules, tweak weightings, add new criteria, or retire outdated logic without rewriting automation or deploying code changes. As business policies evolve, whether due to new regulations, pricing updates, or risk thresholds, the engine can adapt immediately, making it easier for teams to stay aligned with shifting requirements.
Is the engine useful even if we don’t have a credit or lending process?
Yes, many organizations use the engine outside of lending. It is effective anywhere you need consistent, repeatable decision logic such as account assignment, customer onboarding checks, discount approvals, service eligibility, legal/compliance validation, or automated workflow routing. If your team spends time interpreting rules or evaluating criteria repeatedly, the engine can standardize those decisions and reduce manual oversight.
How do we test new rules safely before activating them in production?
The Decision Rule Engine includes a built-in testing mode that lets users simulate decisions before pushing anything live. You can run real data through draft rules, compare outcomes, and confirm the logic behaves as expected. This prevents accidental overrides or incorrect approvals and gives operations teams confidence that changes won’t disrupt existing workflows. It is a simple, risk-free way to validate updates before they go into production.
Testimonials
Hear From Our Happy Customers






































