of risk measures computed from a single definition
Lameh holds an institution’s risk calculations and limits in one place, so each measure is computed the same way in every function.
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of risk measures computed from a single definition
calculations and limits held with the entities and positions they apply to
faster to an agreed exposure figure across functions
With Ontology, the institution’s own calculations and limits are held with the entities and positions they apply to. A measure such as exposure is computed the same way in the business, in risk, and in reporting.

With Reconciliation, the risk function defines the figures that should agree, and each is rechecked when its underlying data changes. Differences are ranked by size, probable cause, and the outputs that depend on them.

Knowledge Induction compares facts across the institution’s past cases to show the conditions that preceded losses. Each pattern is proposed as a rule to the risk function, linked to the cases that support it.


Patterns in the institution’s past work, proposed as rules and linked to the cases that support them.

One shared definition of the organizations, instruments, positions, and transactions the institution works with.

Discrepancies found, ranked, and resolved, with the evidence trail kept for review and audit.

Decisions, knowledge, and working methods recorded as the work happens and retained by the institution.
Yes. The calculation is held once in the ontology, and people, applications, and AI models all read from it.
Each figure is rechecked when its underlying data changes, and a resolved figure remains resolved until then.
Each is ranked by size, probable cause, and the outputs that depend on it. Expected differences, such as timing and documented exceptions, are set aside with a recorded explanation.
Each figure is read from the official source that published it, kept as reported, and linked to the document it came from. Where a figure appears in more than one source, the values are reconciled.
Lameh links the records held in separate systems to the organizations, instruments, positions, and transactions they describe. Each is defined once and mapped to its records in every source system.
Changes are made through defined actions, each with its conditions, approvers, and log. A limit increase follows the same approval path whether a person or an AI model proposes it.
No. Each prompt is routed to the model best suited to it, weighing reasoning, accuracy, speed, and cost, and new models enter the routing as they are released.
Your institution’s own calculations and limits held in one place, with a single agreed value for each figure that depends on them.
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