Compliance
Compliance
Fund Analyst Intelligence is designed for environments where oversight is not optional.
Compliance is treated as a production requirement, not as documentation after the fact.
The system supports evidence-first outputs, explicit approvals, and reproducible records.
This page describes the typical compliance expectations in allocator and private banking contexts.
It explains how the platform supports those expectations in practice.
Compliance objectives
A compliant operating model must ensure:
- information is current and sourced
- decisions and approvals are attributable
- outputs are reproducible and auditable
- access is controlled and logged
- exceptions and follow-ups are tracked to closure
Fund Analyst Intelligence supports these objectives through workflow design and artefact management.
Source governance
Controlled source policy
Partners define what sources are allowed.
Allow-lists are the default model for online sources.
User-provided materials are treated as first-class artefacts.
Provenance by design
Every extracted claim links back to a source artefact.
Sources carry timestamps, versions, and metadata.
Evidence packs preserve these links in deliverables.
Handling conflicting sources
Conflicts are not hidden.
They are surfaced as explicit exceptions.
Resolution requires reviewer action and rationale capture.
Review and approval controls
Explicit workflow states
Typical states include: draft, review, approved, published.
Transitions are logged with actor, timestamp, and notes.
This creates a clean decision record.
Human-in-the-loop is standard
Regulated teams require sign-off.
Automation reduces workload but does not remove accountability.
Reviewer decisions are preserved as audit artefacts.
Separation of duties (where required)
Partners can enforce role separation between operators and approvers.
This is an operating model choice supported by access controls.
Audit trail
What is recorded
- cycle runs and timestamps
- input artefact inventory per cycle
- validation results and exception lists
- deltas vs historical snapshots
- reviewer actions and approvals
- published reports and evidence packs
Why this matters
A report must be defensible months later.
Audit should not require reconstruction from memory.
The platform maintains a persistent and searchable record.
Record retention and lifecycle
Retention is a policy decision.
Fund Analyst Intelligence supports retention rules for:
- source artefacts
- extracted structured data
- validation and delta logs
- reports and evidence packs
- approval and decision records
Partners should define:
- minimum retention period
- deletion and archival policies
- evidence storage expectations
- handling of superseded documents
Model risk and output integrity
Fund Analyst Intelligence is designed to reduce model-risk exposure by design:
- deterministic validation gates precede narrative
- evidence-first constraints limit unsupported statements
- exceptions explicitly capture uncertainty and gaps
- review and approval formalise accountability
The product does not ask teams to trust a black box.
It asks them to operate a controlled workflow with traceability.
Operational controls
Monitoring and observability
Production use requires clear operational visibility.
Typical controls include:
- job status and cycle completion tracking
- error classification and actionable logs
- alerting on failed cycles or missing inputs
- KPI reporting on exception patterns and closure rates
Business continuity
A monthly cycle must be resumable.
Failures should not corrupt records.
The system should support controlled reruns with clear versioning.
Regulatory and client-facing posture
Partners often need a clear stance on what the platform is.
Fund Analyst Intelligence is:
- an operational validation and reporting workflow
- a provenance-preserving evidence system
- a decision-support layer, not an investment decision engine
This posture supports clear internal governance.
It also supports consistent client communications.
Partner responsibilities
Compliance is shared.
The platform supports controls, but partners must define policy.
Partners typically own:
- source allow-list and document onboarding rules
- materiality thresholds and escalation policy
- reviewer assignment and sign-off standards
- retention periods and archiving requirements
- client communication standards and disclaimers
Definition of done for compliance readiness
A deployment is compliance-ready when:
- source policy is documented and enforced
- review and approval roles are defined
- audit trails are complete and searchable
- reports carry evidence links and approval stamps
- retention rules are implemented
- operational monitoring is in place
This is the baseline for regulated production use.