State model
A decision snapshot binds period, entity hierarchy, measures, formula versions, assumptions and source cut-offs. Scenarios never overwrite actuals.
Hours saved, usage and model quality can rise without creating realised financial or customer benefit.
The tracker links releases to adoption, process outcomes, cost capture and harm indicators, with explicit counterfactual and ownership assumptions.
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.
Typed commands, state changes and receipts cross an event spine without surrendering domain ownership.
Permitted workThe system reconciles measures and explains drivers. Accounting entries, forecast ownership and investment decisions remain controlled finance processes.
Consistency ruleResolve period, currency, entity, product hierarchy and measure definition before comparison or aggregation.
Hard boundaryThe model is not a system of record, identity provider, policy authority or proof that an external effect occurred.
A business operator needs a reconciled view, explanation or scenario from several data products while retaining ownership of the business decision.
Activity metrics cannot be reported as realised value without an accepted conversion and finance sign-off.
A deterministic outer workflow contains model-led work inside typed, observable calls. Dashed messages remain proposals until policy or a human grants authority.
A decision snapshot binds period, entity hierarchy, measures, formula versions, assumptions and source cut-offs. Scenarios never overwrite actuals.
Read from curated analytical products rather than operational tables. Use drill-through links for source detail and typed write-back only for approved decisions.
Definitions and units are resolved before aggregation. Missing data stays missing; mixed grains and double-counted entities fail reconciliation.
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.
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.
Presents claims beside evidence, alternatives, uncertainty, missing information, permitted actions and current custody.
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.
Resolve period, currency, entity, product hierarchy and measure definition before comparison or aggregation.
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.
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.
Keep people at irreversible, ambiguous and policy-exception points; sample lower-risk automated outcomes independently.
Require the same manual approval at every step.
Cost acceptedRisk-tiering reduces review load but needs calibrated thresholds, sampling and immediate withdrawal of authority when drift appears.
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.
query_load = active_users x decisions_per_hour x source_scansscenario_work = entities x periods x assumptions x alternativesreview_value = avoided_rework + decision_gain - compute - human_effortRestrict management, employee and customer-level data to the smallest analytical grain needed for the decision.
A design is production-ready only when teams can prove what happened, recover it and change it safely.
ledger and subledger tie-out
definition and unit consistency
actual versus assumption separation
narrative-to-measure citation
Baseline, denominator, release lineage, adoption, outcome delta, cost capture, harm measures and finance acceptance.
Business and finance owners accept or reject claimed benefit.
Begin with explanation and transparent calculations. Add recommendation only where decision rights, counterfactual evaluation and outcome measurement are established.
Finance, business performance, data-product and investment owners approve measures and decisions.