Adaptive Intelligence · Beta
Your Credit Policy, Learned
LegiScore learns from your historical report decisions and builds living decision profiles. Every future report reflects how your institution actually decides.
Decision profile
Beta- Past decisions readYour historical report outcomesRead
- Profile builtHow your institution decidesLearning
- Applied to new reportsFindings weighted to your policyQueued
Example
Side by side
Generic AI vs Policy-Aware Intelligence
Without Adaptive Intelligence
- Opinion style. Generic AI opinion that ignores your credit policy
- New analyst ramp-up. Months learning what your institution accepts
- Decision consistency. Policy drift between reviewers and over time
- Risk handling. Each analyst guesses what to escalate
- Document standards. Document requirements vary by who reviews
What It Learns
Two Living Decision Profiles
The platform synthesizes how your team handles risk and documents, then keeps both profiles current as your decisions evolve.
Risk Acknowledgement profile
Captures which risks your institution historically accepts and which ones it escalates, learned from your past decisions, not a generic rulebook.
- Risk Acknowledgement profileIn focus
Captures which risks your institution historically accepts and which ones it escalates, learned from your past decisions, not a generic rulebook.
- Missing Documents profileOn
- AI synthesis with evidenceOn
- Review and edit in rich textOn
- Regenerate on demandOn
- Org-level and per-userOn
Example
Missing Documents profile
Learns which documents you insist on and which you proceed without. Every report applies the same document standard your team already enforces.
- Risk Acknowledgement profileOn
- Missing Documents profileIn focus
Learns which documents you insist on and which you proceed without. Every report applies the same document standard your team already enforces.
- AI synthesis with evidenceOn
- Review and edit in rich textOn
- Regenerate on demandOn
- Org-level and per-userOn
Example
AI synthesis with evidence
The platform reads your historical report decisions and drafts each profile, citing the past cases that justify every rule.
Review and edit in rich text
Admins compare suggested versus saved versions in a rich-text editor, refine the wording, and keep full control of the final policy.
Regenerate on demand
Made new decisions? Regenerate the profile and the platform re-synthesizes guidance from your latest history in one click.
Org-level and per-user
Set one policy for the whole institution, or let individual analysts carry their own decision profile alongside it.
Why It Matters
Institutional Memory, On Every Report
Codify how your credit team thinks once. Apply it consistently across every analyst and every file.
Two profiles, one institutional memory
Risk acknowledgement and document standards live in one place, the codified version of how your credit team thinks.
- Two profiles, one institutional memoryIn focus
Risk acknowledgement and document standards live in one place, the codified version of how your credit team thinks.
- Suggested versus saved, side by sideOn
- Consistent decisions across analystsOn
- Injected as guidance, not hard rulesOn
Example
Suggested versus saved, side by side
See exactly what the AI proposes against what is currently in force before you commit a single change.
- Two profiles, one institutional memoryOn
- Suggested versus saved, side by sideIn focus
See exactly what the AI proposes against what is currently in force before you commit a single change.
- Consistent decisions across analystsOn
- Injected as guidance, not hard rulesOn
Example
Consistent decisions across analysts
New hires inherit the same policy as veterans. No drift between who reviews the file.
Injected as guidance, not hard rules
Profiles shape the reasoning behind every rating while leaving room for case-specific judgment.
- Decision Profiles
- 2
- Reports Policy-Aware
- 100%
- Manual Rule-Writing
- 0
- Regenerate
- 1-click
Questions
Your questions, answered.
What does Adaptive Intelligence learn from?
Can we review and edit what the AI proposes?
Are these hard rules applied to every case?
Does the policy apply to the whole team?
Keep going