Decision Logic Studio
Decision Logic Studio is the governed configuration layer for decision workflows. Define and manage decision tables, thresholds, scoring logic, and escalation rules outside application code — with traceability and change control for high-accountability environments.
What you can configure:- Decision tables (conditions → outcomes)
- Thresholds, caps, multipliers, and scoring weights
- Routing and escalation rules (e.g., review queues)
- Completeness / validation requirements (required documents, missing-data rules)
- Reason codes and explanation templates
Typical challenges we solve
- Policy and threshold changes require engineering redeployments
- Decision logic is scattered across spreadsheets, emails, and code; inconsistent outcomes across teams
- Limited traceability of “why” a decision was made, and hard to test changes safely before rollout
- Excel-based tools are unable to extract and process live production data
Governance and auditability
- Versioning: every ruleset has a version and effective date
- Change history: who changed what, when, and why
- Approvals (optional): maker-checker workflows
- Explainability: output includes which rule fired and which inputs triggered it
- Rollback: revert to a prior ruleset if needed
Example applications
Risk and underwriting policies
- Thresholds and escalation rules based on extracted case attributes
- Consistent “reason codes” for audit and stakeholder communication
- Configurable fixed/variable components, caps, multipliers, eligibility rules
- Scenario testing before applying policy changes
- Required-document logic, completeness checks, and enhanced due diligence triggers
- Clear traceability for review and audit
Example deployment
Production: Policy Amendment Decision Tool (Insurance)
Context:
Challenges included:
Studio in action:
Operational impact:
- A large insurer required a structured, auditable process to amend policies within a short time-frame after a newly received claim (as permitted by their terms), including remediation decisions
Challenges included:
- Multiple steering rules based on key metrics (e.g. claims history)
- Lack of portfolio view across household members
- Inconsistent application of underwriting guidelines
- Need for transparency in customer communication
Studio in action:
- Input: policy number triggers automated retrieval of various attributes from production systems: policy attributes, claims data, premium development, and linked policies within the same household
- Aggregation and decision logic: aggregation and decision logic are configured per insurer (thresholds, segmentation, household logic, escalation paths).
- Output: recommended decision, follow-up actions, rationale for decision, and structured reports
Operational impact:
- Consistent application of remediation policies across underwriting teams
- Reduced manual rule interpretation by underwriters
- Clear, defensible explanations for customer communication
- Ability to simulate impact of threshold changes before activation
Implementation notes
- Initial workshop to map decision logic and inputs: ~1-2 weeks
- Prototype decision tables + integration into a workflow: ~2-6 weeks
- Optional: simulation against historical cases: depends on data availability
- Demo available
Note: Decision Logic Studio can be deployed as a standalone rules layer or used together with the Document Decision Engine.