State model
A partitioned event log feeds time-windowed operational state. Per-entity sequence and watermark prevent late or duplicate events from appearing current.
Residual values move with market, condition, utilisation and contractual factors, creating portfolio risk before an individual contract appears distressed.
A monitoring twin reconciles asset, contract and market state, proposes risk segments and explains which evidence moved each exposure.
Organisations, systems and operating conditions are intentionally anonymised and recomposed. The design demonstrates engineering and banking-domain reasoning; it does not represent a named client estate, vendor product or measured production result.
A shared authority core coordinates independently owned capability cells, domain systems and operating evidence.
Permitted workThe system may organise evidence, run calculations and propose scenarios. Credit judgement, affordability, exceptions and legal effects remain authorised decisions.
Consistency ruleBind evidence to applicant, facility, legal entity, period and policy version; preserve submitted, verified and inferred values separately.
Hard boundaryThe model is not a system of record, identity provider, policy authority or proof that an external effect occurred.
Events or conversation turns require a decision before the underlying situation changes, with strict latency and back-pressure constraints.
Portfolio signals may trigger review or revaluation but cannot change customer terms automatically.
A deterministic outer workflow contains model-led work inside typed, observable calls. Dashed messages remain proposals until policy or a human grants authority.
A partitioned event log feeds time-windowed operational state. Per-entity sequence and watermark prevent late or duplicate events from appearing current.
Use streaming ingestion for signals, low-latency feature or state reads for the hot path, and asynchronous enrichment outside the decision budget.
Point-in-time correctness takes precedence over the newest unqualified value. Late events trigger correction or review instead of mutating the old decision invisibly.
These roles are deliberately vendor-neutral. Each can be independently owned, versioned and replaced.
Appends request, versions, policy result, model proposal, approval, action receipt, readback, correction and custody events under one correlation key.
Chooses an approved model route by task, risk, evidence quality, latency budget and cost ceiling; enforces structured outputs.
Runs component, route, trajectory, failure, harm and outcome tests against the versioned system manifest.
Builds time-qualified projections from source events and reconciliations without becoming the legal system of record.
Evaluates identity, purpose, capability, amount, risk tier and policy version; returns allow, deny, step-up or human-review with reasons.
Durable records carry provenance, authority, effect and custody without turning a transcript into an uncontrolled memory store.
Bind evidence to applicant, facility, legal entity, period and policy version; preserve submitted, verified and inferred values separately.
The selected design is not universally superior. It is the safer fit for this boundary and failure cost.
Use append-only events plus a rebuildable current-state projection.
Overwrite the case row with its latest status.
Cost acceptedReplay and storage are more complex, but point-in-time reconstruction and correction lineage remain possible.
Reserve larger models for residual reasoning after deterministic and smaller-model gates.
Send every request to the most capable available model.
Cost acceptedRouting adds evaluation work and operational complexity, but controls cost, latency and unnecessary data exposure.
Test prompts, models, tools, knowledge, policies, state transitions and human paths together.
Use a static answer-quality benchmark as the release gate.
Cost acceptedSystem evaluation takes longer and needs synthetic environments, but detects authority and recovery failures that answer scoring misses.
Use event-fed projections for scale and direct readback for consequential effects.
Fan out to all systems of record for every interaction.
Cost acceptedRead models introduce lag and reconciliation work, but reduce source load and make cross-system views feasible.
Compile stable decision logic and retain retrieval for explanation and residual ambiguity.
Ask a model to interpret the source document for every request.
Cost acceptedRule compilation needs controlled change, but creates repeatable decisions, regression tests and clear exceptions.
Retries are bounded by knowledge of business effect; unknown outcome remains visible, owned and independently reconciled.
Actual thresholds belong to accountable service owners. The design exposes the equations and observables that those owners must baseline.
partition_rate = peak_events_per_second / active_partitionsdecision_budget = ingest + state_read + policy + score + action_commitbacklog_clear_time = queued_events / recovery_throughputLimit applicant and guarantor data to the active assessment and separate sensitive attributes from model reasoning where policy requires.
A design is production-ready only when teams can prove what happened, recover it and change it safely.
calculation reconciliation
policy supersession and open-case test
document contradiction test
adverse-impact and override review
Market-source lineage, model version, feature movement, segment change, revaluation decision and realised-outcome backtest.
Portfolio and valuation specialists approve interventions and model overrides.
Start with advisory intervention and measured shadow scoring. Increase automation only when peak-load, late-event and fallback tests preserve the control outcome.
Credit, product, legal, model-risk and lending-operations owners approve decision and action boundaries.