Decision Center · EONVERA ADI
A recommendation is not a conclusion. It is a set of claims open to challenge.
The outputs of the six modules converge in the ADI Intelligent Investment Decision Center, forming recommendations that carry evidence, constraints and re-evaluation conditions. What the system delivers is not only a direction, but why it holds and the conditions under which it fails.
Output Structure
Keep the “why” inside the recommendation.
Traditional analytical reports tend to center on a conclusion, with evidence, disagreement and risk boundaries scattered across appendices or discussion. The Decision Center places these elements in a single output structure, so users see not only the direction but the conditions under which it holds.
This matters especially for institutions: different roles need to see different depths of evidence, and every role needs to know when a recommendation should be reconsidered.
- 01Supporting evidence: data, assumptions and model versions
- 02Dissenting views: unresolved disagreement and challenges
- 03Risk boundaries: concentration, liquidity, leverage and loss range
- 04Re-evaluation conditions: what evidence would trigger a new review
Illustrative View
The output structure of one hypothetical scenario.
The interface below is illustrative. It shows how a recommendation carries evidence, disagreement, constraints and review conditions; it is not live data or an actual investment record.
Recommendation: Adjust the portfolio's liquidity buffer
CASE A-204 · HYPOTHETICAL SCENARIO
Market-state recognition shows tightening liquidity conditions; scenario analysis points to rising impact costs. All related data, assumptions and model versions are traceable.
Valuation appeal has improved, and some roles believe the current allocation should be maintained while awaiting stronger confirmation signals. The disagreement is recorded and has not been treated as resolved.
Insufficient trading depth, concentration limits and portfolio redemption schedules together restrict executable size. Any adjustment would need to be executed in stages.
Re-submit for deliberation when liquidity indicators recover, impact costs fall, or the committee presents new evidence.
Scenario
When liquidity contracts suddenly.
Using the hypothetical scenario of a sudden liquidity contraction, the system design allows market-state recognition to trigger a model down-weighting assessment, portfolio stress testing and committee re-deliberation at the same time.
Market conditions change
Liquidity conditions tighten, trading depth falls and impact costs rise. The World Model recognizes the change and flags the assumptions that require review.
Model and method review
Adaptive Model Evolution assesses whether current methods remain suitable under present conditions, and down-weighting proposals enter the deliberation process.
Portfolio stress testing
Scenario Intelligence compares alternative execution paths and assesses how concentration, redemption schedules and impact costs affect the portfolio.
Recommendations with boundaries
Even when an asset's valuation becomes more attractive, insufficient trading depth and rising impact costs may still change the execution plan.
Record and review
Evidence, dissent, constraints and review conditions are retained, and outcomes feed subsequent research and governance updates.
What this illustrates is the architecture's coordination mechanism, not a live trading record.EONVERA ADI · Scenario Note
Human Oversight
The Decision Center does not authorize. It makes authorization better grounded.
System outputs remain within an authorizable, traceable and reviewable range. Whether to act, at what size and when to stop are still decided by roles with the appropriate permissions, in light of client objectives and portfolio constraints.
Governance runs throughout: permission checks, risk rules, audit records and outcome feedback together define the boundary. The stronger the technical capability, the more explicitly its boundaries must be stated.
