Model your decision process, not just the question.
Build custom analytical frameworks that reflect how your team actually evaluates risk, opportunity and exposure.
Premade workflows cover most use cases. But some decisions require a specific lens, unique structure or internal logic. Custom Frameworks allow Noah to be configured around your process: your definitions, your signal priorities and your decision criteria.
The result is not a generic read, but a system aligned to how your team thinks.
Seven jobs Custom Frameworks are built for.
Insurance, banking and strategy teams use Custom Frameworks to standardise analysis around their internal logic — and rerun it consistently across teams.
What you can do.
- Define custom analytical workflows
- Build domain-specific signal structures
- Align outputs to internal decision frameworks
- Incorporate client-specific data sources
- Create reusable investigation templates
- Standardise decision-making across teams
- Rerun bespoke workflows consistently
Example questions.
- Can we model this risk our way?
- Can we apply our internal framework?
- Can this reflect our underwriting logic?
- Can we standardise this analysis?
- Can we run this repeatedly at scale?
A structured read inside your own framework.
Every Custom Framework investigation returns the standard Noah output shape — but with lanes, thresholds and weighting drawn from your method, not ours.
Custom underwriting framework · energy infrastructure
- Exposure-weighted signal across defined lanes
- Custom weighting applied to regulatory and operational risk
- Internal thresholds reflected in final posture
{
"frame": "custom_framework",
"subject": "energy infrastructure exposure",
"framework": "client_defined_v2",
"decision": {
"posture": "bind_with_load",
"composite": 64,
"direction": "watchful"
},
"confidence": "high"
}Most systems answer questions. Noah can adopt your method.
Instead of adapting your decisions to a tool, Custom Frameworks let the system reflect:
- Your definitions — what counts as material, what doesn't
- Your thresholds — the points at which a posture changes
- Your structure — the lanes, weights and decision categories your team already uses
This ensures consistency between Noah outputs and internal decision processes.
Define it once. Run it repeatedly.
Custom Frameworks are saved analytical assets — built around your structure, then rerun on demand across teams and exposures.
How it works.
- 01Define the investigation structure
- 02Construct the signal lanes
- 03Apply weighting and thresholds
- 04Specify the decision outputs
- 05Save, reuse, monitor and scale
Framework components.
- Domain-specific signal lanes
- Custom weighting and thresholds
- Bespoke output formats
- Defined decision categories
- Monitoring and rerun logic
Five signs you've outgrown premade workflows.
- Internal methodologies must be preserved.
- Decisions require consistent structure across teams.
- Teams need standardised, comparable outputs.
- The domain is complex, niche or regulated.
- Audit and compliance demand alignment with internal logic.
If two or more of these apply, a Custom Framework is the next move.
An analytical asset, not a one-off configuration.
Once built, a framework becomes a permanent part of how your team works. Versioned, controlled and auditable.
Repeatability & scale.
- A reusable analytical asset
- A standard across teams
- A repeatable investigation model
Governance & control.
- Frameworks can be controlled and versioned
- Changes can be tracked
- Outputs remain auditable
- Teams operate within defined boundaries
Built for the desks that already have a method.
Where Custom Frameworks typically deploy.
Custom Frameworks operate at their best inside structured enterprise environments where governance, integration and standardisation are already in play.
Team environments
Shared frameworks, shared methods and shared outputs across a desk that needs to reach the same conclusion the same way.
Enterprise deployments
Custom frameworks deployed inside private cloud or behind-the-firewall environments — fully aligned to internal governance.
Regulated workflows
Frameworks that match documented internal methodology — version-controlled and audit-ready by default.
API & system integration
Custom frameworks invoked from internal systems, with structured outputs returned for downstream decisioning, monitoring and reporting.
The strongest systems reflect how decisions are actually made.