Finance & corporate treasury
For CFOs, treasurers and risk teams: stress-test liquidity, cash conversion and portfolio exposures with explicit assumptions and reviewable recommendations.
The decisions behind the industry.
Financial-service workflows require explicit decision rights, traceability and review boundaries. Connect analytical recommendations to a documented approval process rather than treating an AI-generated explanation as evidence of suitability.
Typical decisions
- Which operating choices protect liquidity without weakening fulfillment or supplier relationships? Cash flow & working capital
- Which decisions can AI support, who remains accountable, and what must be explained before a recommendation is executed? Enterprise AI & decision governance
- Can teams reconcile orders, stock and capacity across systems, trust their freshness and explain which records informed a decision? Data governance & lakehouse foundations
Start with the operating evidence.
Scope a workflow with its accountable owner. Classify data access, retention, approval thresholds and exceptions before selecting models or connecting systems. Assess local requirements with the client’s responsible teams.
Agree how value will be measured.
Begin with one decision, a named business owner and a baseline period. Review recommendations alongside the existing process before connecting execution. Agree the data refresh cycle, approval limits, exception handling and measures of service, cost and risk. Outcomes depend on the agreed scope and evidence; illustrative scenarios are not promised customer results.
Related capabilities
- Cash flow & working capital Bring finance and operations onto the same view of liquidity, inventory, receivables and payment timing.
- Enterprise AI & decision governance Move from an AI experiment to a governed workflow, with private deployment, human approvals and traceable execution.
- Data governance & lakehouse foundations Build the data foundation for enterprise decisions. AEVO connects governance, data lakes and Medallion pipelines to analytics, AI and decision optimization.
See the decision with synthetic data.
- Tokyo rental acquisition decision (opens in a new tab) What is the most we should pay for a Tokyo apartment building, how much should we borrow, and which assumption breaks the deal first?
- Fund tracing & AML graph intelligence (opens in a new tab) Where is the suspicious money now and how much can still be frozen, which accounts should be reported or frozen, and which belong to victims?
Related perspectives
Start with a decision that matters.
Tell us where cost, capacity, risk or cash is limiting performance. We will help define a focused evaluation before committing to a wider transformation.