X-ALM Cross ALM
Who it's for

For those who carry a balance sheet, and those who check it.

X-ALM was designed for the asset and liability management of a retail bank. It serves equally well those who advise or audit a bank, those who train its teams, and those learning the trade.

Retail banks

The full balance sheet, from the mortgage to the sight deposit.

This is the core audience. X-ALM covers loans to individuals and businesses, regulated savings, deposits, market funding and hedges. It projects net interest income, gaps, EVE and liquidity ratios in every scenario, from the contract files you already produce for your current tools.

  • Finance and ALM departments: NII forecast, rate sensitivity, risk appetite.
  • Treasury: liquidity gap, projected LCR and NSFR, funding requirement.
  • Model validation and control: every calculation is documented and replayable contract by contract.
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What you get in a day

  • A full run on one entity and several scenarios
  • A Power BI summary and EVE forecast report
  • A subset run on one product, to compare with your current tool
  • The list of deviations, explained
See the evaluation package โ†’
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Multi-entity by design

A run covers as many entities as needed, each with its own contracts and new business. Contract scopes are defined per scenario, reporting is done per entity and consolidated in Power BI. The mapping tables carry the group's reporting dimensions.

Mutual and cooperative groups

One engine for every regional bank, one common rulebook.

Groups made up of many entities need a single engine, configured once, and run on each regional bank with its own data. X-ALM strictly separates the engine, the configuration and the data: a model change is deployed by replacing a folder, and each entity keeps its files.

Entities are processed one after another in an unattended overnight batch on a dedicated machine, with no manual intervention.

Insurers

The same engine for the assets, and a framework for the liabilities.

An insurer's assets look very much like what X-ALM already projects: fixed- and floating-rate bonds, securities with coupon steps, premium and discount, swaps, caps, floors and swaptions, repos. Curves, rate and inflation shocks, and mark-to-market valuation are available out of the box.

Insurance liabilities, for their part, follow surrender and premium-payment behaviours that resemble those of non-maturity deposits: conventional run-off by layer, stable and volatile portions, rate sensitivity. X-ALM's product registry lets you declare these contracts with their own rules, without modifying the rest of the engine.

To be clear

X-ALM does not, as it stands, produce a Solvency II prudential balance sheet. It projects cash flows, balances and market values in interest-rate scenarios. For an insurer, adapting the liabilities requires a preliminary scoping exercise, which we price together.

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Insurance use cases

  • Projection of the cash flows and market value of a bond portfolio per rate scenario
  • Sensitivity of the assets to up, down, flattening and steepening shocks
  • Consistent valuation of option-based hedges and the hedged portfolio
  • Asset-liability matching: interest-rate and liquidity gaps between investments and a modelled liability
Discuss a scoping exercise โ†’
And everyone else with a stake in it

Consulting, audit, training, research.

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Consulting firms

An independent engine to recompute the results of an industry tool, carry out a model validation assignment, or equip an ALM transformation project without depending on the client's IT systems.

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Audit and inspection

Every contract can be replayed on its own, with its intermediate parameters snapshotted. The documentation gives the formula of every indicator with a worked example. Deviations are explained, not merely observed.

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Training and teaching

Real software, a sample configuration, a step-by-step guide and an asset and liability management textbook that starts from the elementary contract. Enough to make maturity transformation tangible, rather than merely describe it.

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Fintechs and neobanks

A complete ALM chain with no infrastructure: one workstation, one folder of files, one report. Enough to satisfy the supervisor long before you are big enough to justify a heavyweight tool.

What matters to everyone

Four reasons that come up in every conversation.

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Sovereignty

Nothing leaves the workstation. No cloud, no telemetry, no dependency on a third-party service.

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Speed

A quarter of an hour to install, a quarter of an hour to project 2.9 million contracts over three scenarios, a day for a first report on your data.

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Auditability

Documented formulas, replayable tests, proven parity with a reference model.

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Cost

No server, no database, no third-party licence. Power BI Desktop, used to read the report, is free.

Don't fit any of these boxes?

Write to us anyway. The best use cases are often the ones nobody had planned for.