Connect sources
Approved account, accounting, invoicing, payroll, CRM or import sources provide known financial facts within their contractual and technical boundary.
AUREL brings known financial information into one explainable picture and uses that foundation for forward liquidity, goal planning, scenario comparison and financial resilience. Intelligence, advice, governance and execution remain explicitly separated: the product line shown performs no live bank actions and is not a credit-scoring engine.
AUREL brings known financial information into one explainable picture and uses that foundation for forward liquidity, goal planning, scenario comparison and financial resilience. Intelligence, advice, governance and execution remain explicitly separated: the product line shown performs no live bank actions and is not a credit-scoring engine.
A current balance alone does not show whether a choice remains sustainable thirty, sixty or ninety days ahead. AUREL structures known financial data, exposes assumptions and source quality and compares consequences without changing canonical financial state.
Approved account, accounting, invoicing, payroll, CRM or import sources provide known financial facts within their contractual and technical boundary.
Available resources, other assets, debt, recurring cash flows and commitments are brought into one consistent model.
AUREL calculates known cash-flow trajectories and shows where liquidity buffers may come under pressure.
A goal or hypothetical decision is simulated with contribution, horizon and liquidity impact visible.
The user can question the outcome or prepare a structured briefing; AUREL itself executes no payment, credit or investment action.
Models, integrations, capability status and release assurance are shown separately so boundaries remain reviewable.
Consolidates known assets, liquidity, debt and monthly composition into one financial picture.
Projects known cash flow and shows minimum liquidity, buffers and pressure points.
Makes target amount, current funding, required contribution and timeline measurable without assuming investment returns.
Compares before/after consequences of a hypothetical choice while canonical state remains unchanged.
Combines forward visibility, data quality and explicit support status without producing a credit score.
Model purpose, authority, integrations, support, audit and release assurance are presented as distinct control layers.
Reviews position, future, goals, decisions, advisor and protection in a read-only intelligence experience.
Can assess business-oriented cash flow and financial context where connected data and capability scope support it.
Receives a user-authorised briefing as a bridge to human advice; real CRM/calendar delivery requires a qualified connector.
Reviews declared purpose, authority boundaries, model status, integrations and release assurance.
AUREL compares the 30- or 90-day position before and after the scenario without changing real financial state.
A goal becomes remaining amount, required monthly contribution and expected horizon using neutral assumptions.
A life-event simulation shows how known cash flow and buffers respond; adverse credit action remains prohibited.
Institutional views make model purpose, read-only/simulation boundaries, integrations and release acceptance inspectable.
AUREL approaches financial intelligence not as a collection of unrelated dashboards, but as one coherent financial state against which different questions can be asked. A balance alone says little about future payment capacity; monthly income says little without obligations; a target amount says little without a time horizon. AUREL therefore first brings known financial information into a canonical financial state. Position, forward liquidity, goals, resilience and scenario comparison can then use the same underlying reality. That makes results easier to reconcile and avoids each feature creating its own incompatible version of financial truth.
AUREL distinguishes information known from connected or declared sources from calculations that project consequences into the future. A forward-liquidity curve is not a bank balance from the future; it is a model built from known cash flows, obligations and explicit assumptions. The interface therefore exposes projected minimum, preferred liquidity floor, data freshness and sources requiring refresh. This makes uncertainty visible. When underlying evidence becomes stale, the right response is not to hide that fact behind a polished chart but to show that the quality of the financial view has changed.
Decision Comparison is deliberately counterfactual. A user can ask what a purchase, change in income or another scenario would do to the known financial trajectory without modifying an account or initiating a payment. The canonical state remains unchanged while the scenario is evaluated beside it. This separation matters for both private and institutional use: analysis can be useful without inheriting the authority of a payment rail, lending system or portfolio execution engine. AUREL can therefore support a conversation about consequences while keeping the final decision and any real-world action in the appropriate human or banking process.
The institutional view extends that separation into model and integration governance. Capabilities declare their purpose and boundaries: deterministic financial state, forecast, simulation, resilience support, goals or advisor surfaces do not all have the same authority. Integrations likewise distinguish read-only banking data, identity context, batch import and disconnected execution rails. Release assurance records which capabilities have been accepted and which remain under evaluation. This is more than documentation. For a financial institution, technical reviewers need to know not only what AUREL can calculate, but which system is authoritative, which data is synthetic or live, which connectors are active and which actions are explicitly prohibited.
AUREL structures financial facts in a canonical model. Deterministic state and forecast functions provide base calculations; scenario and goal models operate above them; advisor and support interfaces use the same known state. Integrations provide evidence or context without automatically granting execution authority.
The institutional interface distinguishes contract-ready, simulated, disconnected and read-only integrations. Screens show core banking, open banking/account data, identity, CRM and batch imports as separate integration boundaries. A connector is only presented as operational when demonstrated for the relevant release.
Current presentation mode for product and governance evaluation with explicit capability status.
A real financial institution requires separate review of data residency, identity, integration contracts, logging, model governance, security and operations.
Any future write or execution capability can only be designed as a separately qualified capability with explicit policy and authorisation; it is not implied by the current read-only product line.
The supplied AUREL interface shows a controlled financial-intelligence environment with explicit read-only, simulation-only and no-live-bank-actions boundaries. Release and capability status are shown separately; this is not a claim of broad production or banking authority.
An AUREL briefing can show the personal/business experience alongside institutional model, integration and assurance views. The intended use case determines which financial data, models, controls and deployment questions are relevant.