Insights and Updates

Introducing Automated Decisioning
Company
|
April 6, 2026

Introducing Automated Decisioning

Finally, credit decisioning that scales with speed, consistency, and control.

Most credit teams still rely on spreadsheets, tribal knowledge, and back-and-forth emails to make credit decisions. It works. Until it doesn't. Approvals take days, policies live in someone's head, and there's no clear record of why a decision was made.

Automated Decisioning changes that. Define your credit policy, apply it consistently to every customer, and get a clear recommendation in seconds, with a full audit trail from day one. Here's how it works, step by step.

1. Build Your Credit Policy

Define your credit criteria once and let the system enforce them every time. The no-code policy builder translates your credit risk requirements into automated logic. No developer required.

  • Set custom risk thresholds, stability requirements, and legal screening rules.
  • Create separate policy versions for different customer segments.
  • Add escalation rules that route complex applications to AI-powered recommendations.
  • Alert your team on where to route edge cases that need human review.
⛨ Step 1
Build Your Policy
New Customer Policy
Pulse Score > 80 Risk
Years in Business > 2 Stability
No Bankruptcies or Liens Legal
Payment Score > 70 History
Save Policy
✎ Step 2
Apply Your Policy
🏢 Dunder Mifflin Scranton, PA
🗄
Company Data
9 sources analyzed
📊
Risk Scores
Pulse · Health · Payment
85
62
92
🛡
Your Policy
New Customer Policy v1.0
Generating Recommendation...

2. Apply Your Policy

The decisioning engine does the work. Data is compiled across multiple integrated sources to provide scores while scanning against your policy automatically.

  • Credit risk scores, health indicators, and payment history surface instantly.
  • Every data point is cross-referenced against your policy, not someone's gut.

3. Make a Decision

When all policy criteria pass, the recommendation is immediate and unambiguous. When something fails, the engine shows exactly which rule and why.

  • See a full pass/fail breakdown across every policy rule at a glance.
  • Read a plain-language summary connecting risk scores to your credit criteria.
  • Approve, approve with conditions, or decline. Reasoning attached every time.
✓ Step 3
Make a Decision
Approved!
Dunder Mifflin Paper Co.
🛡 4/4 Policy Rules Passed
Limit
$100k
Terms
Net 30
By
System
⏱ Step 4
Track Every Action
📄 Audit Trail
System 🤖10:41 AM
New application submitted
System 🤖10:42 AM
Approved for $100k, Net 30
David D. 👤10:45 AM
Reviewed and confirmed.

4. Track Every Action

Every submission, decision, and human review is time-stamped and recorded the moment it happens. The audit trail builds itself.

  • System notes log every application and outcome automatically.
  • Team edits, reviewer names, and added notes are captured alongside every automated decision.
  • Nothing gets reconstructed after the fact. It's already there.

Faster decisions. Consistent policy. Full audit trail.

Stop rebuilding the same decision from scratch every time. Automated Decisioning gives your credit team a repeatable, transparent process that scales with your business.

  • Credit decisions in seconds, not days.
  • Every decision backed by data and policy, not guesswork.
  • Audit-ready from day one with zero extra effort.
  • No-code setup. No developer dependency.
Book a Demo

Melanie Albert

VP of Customer Success
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